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NAPLAN: Present and Potential Future

The National Assessment Program — Literacy and Numeracy (NAPLAN)

David Haberlah · 2025-02-20 07:20 · 0 claps · 56.7 min read
#naplan #assessment
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NAPLAN Reimagined: Imagining the Future of Australia’s National Assessment

The National Assessment Program — Literacy and Numeracy (NAPLAN)

Purpose and Scope: The National Assessment Program — Literacy and Numeracy (NAPLAN) is Australia’s nationwide standardised testing program for schools. It was introduced in 2008 as a tool to consistently monitor whether students are developing foundational literacy and numeracy skills. NAPLAN tests are administered annually to all students in Years 3, 5, 7, and 9 across Australia. The assessments cover four domains:

  • Reading
  • Writing
  • Language conventions (spelling, grammar, punctuation)
  • Numeracy

NAPLAN’s core purpose is to provide a snapshot of each student’s ability in these basic skills and to measure educational outcomes against nationally agreed standards ( National Assessment Program — Literacy and Numeracy — Department of Education, Australian Government ). The results indicate whether students are performing above, at, or below the national expected level for their year group. In essence, NAPLAN is intended as both an individual diagnostic tool and a system-wide performance measure to ensure young Australians acquire critical literacy and numeracy foundations.

Structure and Methodology: NAPLAN has historically been a once-per-year, point-in-time assessment. All eligible students sit the tests over a few days with uniform administration protocols nationwide. Until recently, tests were pen-and-paper, but the program has undergone a major transition to computer-based testing (NAPLAN Online) to modernise delivery (NAPLAN’s Transition From Paper-Based To Online Tests | Janison). NAPLAN Online uses a tailored adaptive test design, meaning the difficulty of questions adjusts based on a student’s performance: if a student answers correctly, they may receive a harder subsequent question, or an easier one if they answer incorrectly. This adaptive methodology allows the assessment to pinpoint student ability more precisely across the spectrum, engaging high performers with challenging items and giving lower performers questions appropriate to their level. Each test contains roughly 30–40 questions and is taken under timed conditions. Tests are typically scheduled for a specific window (historically in May, moved to March from 2023) so that all schools conduct NAPLAN around the same time (Expert review recommends major changes — and a new name — for NAPLAN — Queensland Independent Schools Parents Network). Importantly, NAPLAN is criterion-referenced to the national curriculum — test content is aligned to what students are expected to learn in English and Mathematics for their year level (NAP — Test development ). The program emphasises validity and reliability: it employs psychometric techniques (item response theory) to scale and equate results, ensuring scores are comparable across different test forms and years. NAPLAN is not meant to be high-stakes for individual students (it does not directly determine graduation or promotion); rather, it is a diagnostic and monitoring tool. That said, its standardised nature and public reporting have given it significant visibility in the education system.

Assessment Development Lifecycle: The lifecycle of a NAPLAN assessment extends roughly 18 months and is managed by the Australian Curriculum, Assessment and Reporting Authority (ACARA) with input from all states and sectors (NAP — Test development ). The process begins with test design and item development. ACARA sets guidelines and test specifications (including item formats and permissible content topics) to guide item writers. Test questions are then developed by ACARA staff and contracted assessment developers, including specialists in literacy and numeracy. Draft items undergo rigorous review by curriculum and assessment experts from each state/territory and the non-government school sectors to ensure content alignment and appropriateness nationwide. Following review, a large-scale trial (field test) is conducted with a representative sample of students across demographics (including Indigenous students, various regions, school types). Independent psychometricians analyze trial data to evaluate each item’s difficulty, fairness, and technical quality. Only items that meet statistical and content standards are selected for the live tests. ACARA also convenes advisory panels of measurement experts at multiple points for quality assurance and technical advice ( NAP — Test development ).

When the test window arrives (currently in March each year), schools administer the assessments over the designated days under standardised conditions as per national protocols (e.g. instructions, timing, accommodations) to ensure consistency and fairness. After testing, student responses are collected for scoring. For online tests, most questions are auto-scored by the platform immediately, while written responses (e.g. the writing task) are marked by trained human markers using a common rubric (efforts are ongoing to explore automated essay scoring in the future). Once marking is completed, ACARA performs data analysis and scaling. Using statistical equating methods, they place the results onto a common NAPLAN scale that allows comparison to previous years’ results (NAP — Test development ). This equating process adjusts for any differences in difficulty between test forms and years, giving confidence that changes in scores reflect real changes in achievement. Finally, results are reported through multiple channels: Individual student reports are prepared for parents, showing the student’s score and proficiency level relative to national standards; schools receive detailed breakdowns of their students’ performance, often including item-level diagnostics to identify strengths and weaknesses ( National Assessment Program — Literacy and Numeracy — Department of Education, Australian Government ); and aggregate outcomes are published in a national report and on the My School website, where each school’s average results (and student progress over time) are publicly available. This full cycle from test design to results publication involves collaboration among ACARA, state education authorities, contractors (for printing, online platform, marking, etc.), and schools, following a well-defined timeline and governance process.

Key Stakeholders and Governance: NAPLAN operates within a broad ecosystem of stakeholders at multiple levels:

  • Students — as the test-takers, they are the primary participants. NAPLAN is designed to assess their learning progress and provide diagnostic information to support their education.
  • Parents and Carers — they receive reports on their child’s results and often use NAPLAN outcomes to understand their child’s and a school’s performance relative to national benchmarks.
  • Teachers — teachers both prepare students for NAPLAN and later use the results to inform teaching strategies. They also sometimes serve as item writers or markers in the process.
  • Schools (Principals and Administrators) — schools coordinate the administration of tests and use aggregate results for school self-evaluation and improvement planning.
  • State/Territory Education Departments — each state administers NAPLAN in its schools in coordination with ACARA. They may manage logistics like distribution of materials or employing marking staff (in the paper era, for example, states contracted providers for printing, scanning, and marking). States also analyse the data to inform their policies and allocate resources.
  • ACARA (Australian Curriculum, Assessment and Reporting Authority) — ACARA has overarching responsibility for developing and overseeing NAPLAN nationally. Since 2010, ACARA has managed test content development, standards setting, data analysis, and reporting . ACARA ensures consistency and technical integrity across Australia.
  • Education Ministers Meeting (formerly Ministerial Council) — The collective of federal, state, and territory education ministers provides governance oversight. NAPLAN is conducted under the policy direction of this council, which instituted NAPLAN as a national measure and continues to oversee major changes. Any significant changes (e.g. moving the test to a different time of year or changing reporting standards) require the agreement of Education Ministers.
  • Education Services Australia (ESA) — ESA is a national education support agency that has played a key operational role, particularly in NAPLAN Online. ESA partnered with ACARA in the development of the online platform and works on implementation aspects like training and technical support for online delivery (NAPLAN’s Transition From Paper-Based To Online Tests | Janison).
  • Test Platform Provider (Janison) — In the online era, a technology provider (Janison) supplies the assessment platform and technical infrastructure. Janison built and now maintains the NAPLAN Online system under contract to ESA/ACARA (Janison extends NAPLAN Online agreement to 2030 in $24m+ deal | Janison Education Group). They ensure the platform can securely handle the large scale of concurrent users and provide features like lockdown browser, auto-save, etc.
  • My School Website — The My School platform (run by ACARA) is a stakeholder in the sense that it publicly presents NAPLAN data. It caters to parents, researchers, and the public by allowing comparisons of school performance, thus indirectly influencing school and parent behavior.
  • Other Groups — Researchers and academics (who analyse NAPLAN data), the media (which often reports on results and school rankings), and the broader public (which has an interest in educational outcomes) are also stakeholders in the NAPLAN ecosystem.

Governance of NAPLAN is characterised by national collaboration. ACARA’s management involves consultation with all school sectors (government, Catholic, independent) and jurisdictions, often via advisory committees (NAP — Test development ). There are agreed protocols and frameworks that all states follow to maintain test integrity and fairness (e.g. protocols for administration, guidelines for accommodations for students with disabilities). Changes to NAPLAN (such as the move to online or adjustments to reporting standards) are typically preceded by reviews or trials and must be endorsed by the Education Ministers Meeting, ensuring a consensus-driven approach. Operationally, each state has a NAPLAN coordinator and team responsible for implementation in their schools, working closely with ACARA/ESA. This hybrid governance — centralised test design and reporting by ACARA, combined with distributed administration by states — is an example of “hybrid governance” in Australian education (Hybridity as a governmental technique for designing and delivering …), balancing national consistency with local administration.

Value Proposition Analysis

NAPLAN delivers a variety of benefits (and some challenges) to different stakeholder groups. Below we evaluate NAPLAN’s value delivery for each key group:

Students:

For students, NAPLAN provides a benchmark of their learning progress in literacy and numeracy. It gives them an opportunity to demonstrate skills they have learned in the classroom in a formal assessment setting. When results are returned, students and their teachers can identify areas where the student excels or needs additional support, enabling targeted intervention to improve learning. In an ideal use, NAPLAN helps ensure that students not meeting expected standards are noticed and given help (or that high achievers are extended). Over the longer term, NAPLAN participation can help students develop test-taking experience and resilience in a low-stakes environment, preparing them for future examinations. The test is not meant to be high-stakes for individual students — their scores do not directly affect grades or advancement — which theoretically reduces pressure on them. When handled well, NAPLAN can boost student confidence by highlighting strengths and showing growth over years. For example, a student can compare their Year 5 and Year 7 results to see improvement.

However, it’s worth noting that the actual value to students has been debated. In practice, many students do feel stress around NAPLAN, and some question whether the feedback comes timely or granular enough to help them individually. Recognising these concerns, recent reforms have aimed to increase the usefulness of results for current students, such as moving the test to Term 1 so that students and teachers can use the results within the same school year to address learning gaps. With online testing, results in 2024 and beyond are being delivered in roughly 4–8 weeks (much sooner than the several months delay in the past, which enhances the relevance for students. Ideally, each student’s NAPLAN report, which now categorises their performance in one of four proficiency levels (Exceeding, Strong, Developing, or Needs Additional Support), can help them and their parents understand whether they are on track in essential skills (VCAA Data Service User Guide for NAPLAN) (My thoughts on the new NAPLAN reports). In summary, NAPLAN’s value to students lies in diagnostic insight into their foundational skills and an impetus for improvement, while recent improvements seek to maximise this value by providing faster, clearer feedback.

Parents and Carers:

For parents and caregivers, NAPLAN serves as an independent barometer of their child’s educational progress. It allows parents to see how their child is performing against objective national standards and relative to peers Australia-wide. This is information beyond what regular school report cards, which usually compare to class expectations, provide. A parent can learn, for example, that their child’s reading is above the national average or that their numeracy is below the expected proficiency for their year — insights that can prompt supportive action like engaging a tutor or speaking with teachers. The federal Department of Education emphasises that NAPLAN provides parents with valuable information on their child’s performance against national benchmarks, not just against other children in the same class (National Assessment Program — Literacy and Numeracy — Department of Education, Australian Government ). This can confirm if a child who is getting good school grades truly meets broader standards, or conversely if a struggling child is behind nationally or just within their class context.

Parents also derive value from NAPLAN through the My School website, which publishes school-level results. Many parents consult My School when making decisions about school enrollment or to understand how their child’s school is performing academically. NAPLAN thus feeds into school reputation and choice — a controversial aspect, but undeniably a use that parents find value in (e.g. to gauge if a school’s performance is improving or declining over time). Additionally, NAPLAN results can open a dialogue between parents and teachers: armed with the report, parents can have informed discussions at parent-teacher interviews about how to support the child’s learning. ACARA notes that results can help parents and students talk with teachers about progress and areas needing more challenge or support.

On the flip side, the high visibility of NAPLAN can cause anxiety for some parents, who may put pressure on children or schools. A cottage industry of NAPLAN practice books and coaching has arisen, partially driven by anxious parents aiming to boost their child’s scores. This indicates that while parents value the insights, some may be overemphasising the tests. In an optimal scenario, parents use NAPLAN as one input among many — to celebrate their child’s strengths and seek help for weaknesses. Overall, the value proposition for parents is greater transparency about their child’s learning and the school’s effectiveness, enabling more informed involvement in their child’s education.

Teachers:

For teachers, NAPLAN provides standardised data on student achievement that can complement their own assessments. A teacher gains an external reference point for how each student and the class as a whole are performing in key skill areas. Because NAPLAN results include item-level analysis (especially now with online testing), teachers can see which specific questions students answered correctly or incorrectly. This supports teachers in diagnosing strengths and weaknesses in their class’s understanding of the curriculum. For instance, a Year 5 teacher might discover from NAPLAN that her class collectively struggled with a particular type of grammar question or a certain numeracy skill. This insight helps the teacher adjust instructional strategies or review content areas that need reinforcement. ACARA’s materials highlight that NAPLAN gives teachers access to detailed results for each question, which they can use to develop targeted intervention strategies to improve student outcomes ( National Assessment Program — Literacy and Numeracy — Department of Education, Australian Government ). In this way, NAPLAN acts as a diagnostic tool at the classroom level.

Teachers can also use NAPLAN to identify students who might require additional support or extension. For example, a teacher might flag a student with low reading results for closer monitoring, literacy support, or referral to specialists. Conversely, a high achieving student in numeracy might be given more advanced enrichment and acceleration after acing NAPLAN. Another value is in evaluating teaching effectiveness over time; if a teacher consistently sees growth from Year 3 to Year 5 NAPLAN in their students, it can validate their teaching methods. At the school level, teachers collaborate to analyse grade-level or subject results, informing curriculum planning (e.g. if numeracy scores are down school-wide, teachers might adopt new math programs).

There are, however, caveats to the teacher value proposition. One challenge has been the lag in receiving results — historically up to 3–5 months — which reduced usefulness because teachers had often moved on to teach a different cohort by the time results arrived. This is being mitigated by the move to deliver results much earlier in the same year. Another concern is that teaching to the test can occur: under pressure to lift scores, some teachers narrow their teaching to focus on likely NAPLAN content, potentially at the expense of broader learning . This suggests the value of NAPLAN must be balanced with a rich curriculum. Additionally, surveys have shown many teachers feel NAPLAN increases their workload and stress (e.g. administrative load of preparing for tests and responding to results) (Dissecting NAPLAN: the good, the bad, and the alternatives). In sum, NAPLAN’s intended value for teachers is to offer actionable data that can enhance instruction and help tailor support for students. When results are timely and interpreted in context, they can be a powerful tool for improving teaching and learning.

Schools (Principals and School Systems):

At the school level, NAPLAN provides an objective means of benchmarking performance. School leaders can compare their school’s results against national averages, against other schools with similar demographics, and against their own past performance. This helps in evaluating the effectiveness of school programs and initiatives. For example, if a school introduced a new reading program, the principal might look at NAPLAN reading trends over a few years to see if there is improvement. The data can inform a school’s strategic planning; literacy and numeracy outcomes are often key targets in school development plans, and NAPLAN offers measurable indicators for these targets. Additionally, NAPLAN results broken down by skill area (e.g. reading vs writing) can guide resource allocation within a school — a school might decide to invest in a numeracy coach or extra teacher training if numeracy results are consistently weaker than literacy.

Schools also use NAPLAN to identify achievement gaps among sub-groups of their students. Because results can be analysed by gender, by Indigenous status, by language background, etc., a school can pinpoint if certain groups are underperforming and implement programs to address equity issues. Furthermore, individual student NAPLAN data is often used by secondary schools when students transition from primary to secondary. Many high schools use Year 7 (and Year 5) NAPLAN results from feeder primary schools as baseline data to understand the incoming cohort’s strengths and weaknesses and to stream students into appropriate support or extension classes. In some cases, competitive high schools even consider a student’s NAPLAN performance as one factor in admissions or class placements, thus schools and students treat strong NAPLAN results as an asset.

Another aspect of value is that NAPLAN can have funding implications. While core school funding is not directly tied to NAPLAN, governments do use NAPLAN data to inform where extra funding or interventions are needed (e.g. additional literacy funding for schools in low-performing regions) (National Assessment Program — Literacy and Numeracy — Department of Education, Australian Government ). A school consistently struggling in NAPLAN might become eligible for special programs or support. Conversely, high-performing schools might attract more enrollments (which can boost their resources). School principals also value NAPLAN for providing accountability data to report to their communities and governing bodies — it’s a key part of how schools demonstrate their performance publicly.

However, principals often caution about over-reliance on the test. The public comparison on My School can create league tables and reputational pressures. Schools in affluent areas often score higher, whereas schools in disadvantaged areas might be unfairly judged by raw scores. The growth measure (tracking student progress over time) that NAPLAN provides is thus especially valuable, as it shows how effectively a school is advancing student learning regardless of starting point. Many educators consider student growth a fairer reflection of a school’s impact. In recent years, ACARA has placed more emphasis on growth data on My School to shift attention away from raw league tables.

In summary, the value for schools lies in performance insight and accountability. NAPLAN offers schools data to validate success, identify needs, and showcase progress. It must be managed carefully to ensure it’s used for school improvement rather than simply as a high-stakes judgment — ACARA reiterates that NAPLAN is intended as a tool for school improvement, not an end in itself (Expert review recommends major changes — and a new name — for NAPLAN — Queensland Independent Schools Parents Network).

State/Territory Education Systems

At the state and territory level, NAPLAN is a critical instrument for monitoring and managing the education system. Because education in Australia is largely administered by states, each state’s Department of Education (and equivalent authorities for Catholic and Independent sectors) uses NAPLAN to gauge how well their policies and curricula are working. System performance can be tracked year to year and compared across jurisdictions. For instance, a state can see if literacy scores are rising after implementing a new curriculum, or how their numeracy outcomes compare to the national average. Such data is invaluable for policy evaluation and development. If, say, one state lags significantly in writing, that may prompt a targeted literacy initiative or inquiry.

States also drill down into NAPLAN data to identify regions or districts that need additional support. A Department might find that rural schools in a certain region have consistently low numeracy; this could lead to deploying specialist teachers or extra funding to that region. Because NAPLAN is consistent nationwide, it enables inter-state benchmarking that was not possible before 2008 when each state had separate tests. Now education ministers and departments can share best practices if one state is outperforming in an area.

On a governance level, education ministers use NAPLAN results collectively to measure progress toward national goals. For example, if there is a national target to increase the percentage of students above the minimum standard in reading, NAPLAN provides the data to track it. The data also feed into public reporting and accountability for governments. The transparency of NAPLAN results means state governments are often asked to explain their education performance (e.g. media will report if one state’s results decline), which can put healthy pressure on governments to prioritise education improvements.

One direct outcome linking NAPLAN to state action is the identification of schools in need of intervention. States have used NAPLAN data to identify low-performing schools for additional oversight or inclusion in programs like literacy and numeracy coaching. In some cases, persistent underperformance reflected in NAPLAN can lead to reviews of school leadership or teaching practices. Conversely, high performance can validate state initiatives or lead to scaling up successful programs.

Overall, for state and territory authorities, NAPLAN’s value is in providing a robust evidence base for educational decision-making at the system level. As ACARA notes, it’s the only full-cohort test that offers nationally comparable data ( National Assessment Program — Literacy and Numeracy — Department of Education, Australian Government ) hich makes it indispensable for monitoring the health of the education system in each jurisdiction and ensuring all regions are keeping pace in foundational skills.

National (Federal and Public) Level:

Nationally, NAPLAN is a cornerstone of Australia’s education accountability and standards framework. The federal government and national education bodies use NAPLAN to ensure that, across all states and territories, educational standards in literacy and numeracy are being met and maintained. It provides a national report card on fundamental skills: policymakers look at the percentage of students in each proficiency band, the proportions reaching the expected proficiency standards, and the trends over years . This helps answer the crucial question: Are we as a nation improving in education, stagnating, or declining? In fact, ACARA’s CEO recently highlighted that at a national level, trends in NAPLAN had shown little significant change in achievement over a decade, prompting ongoing discussions on how to drive improvements.

Internationally, NAPLAN data contribute to Australia’s educational standing. While NAPLAN itself is domestic, its results can be correlated with international benchmarks (for example, strong NAPLAN outcomes should, in theory, correspond to strong results in international assessments like PISA). The national aggregation from NAPLAN helps Australia monitor its competitiveness: if literacy/numeracy standards slip, it could foreshadow declines in PISA rankings, which indeed has been a concern in recent years as Australia’s PISA scores have shown a long-term decline (Australia’s PISA performance declines further — Teacher Magazine) (PISA 2018: Australian student performance in long-term decline). NAPLAN therefore acts as an early warning system for national skill levels. It also allows identification of national disparities — such as the gap between Indigenous and non-Indigenous students, or between metro and remote areas — informing federal equity programs and funding (for example, additional funding for Indigenous education or rural schooling can be justified by NAPLAN outcome gaps).

From a public perspective, NAPLAN (via My School) brings a level of transparency and accountability to education. Taxpayers and communities can see how schools and systems are performing. This transparency was part of the original value proposition: to shine a light on underperformance and spur improvement through public accountability. Indeed, proponents argue that without such national data, under-achievement in some pockets might remain hidden. There is evidence that NAPLAN has forced conversations about literacy and numeracy that elevate their importance in every school’s agenda.

The federal government also uses NAPLAN to ensure that state governments are held accountable under national agreements (such as the National School Reform Agreement). It’s often a condition of federal funding that states participate in NAPLAN and work towards agreed literacy/numeracy targets. So NAPLAN provides a common measure to track progress on national reforms.

In summary, at the national level NAPLAN’s value lies in standard setting and monitoring. It is a tool for maintaining national educational standards, comparing outcomes across the country, and benchmarking Australia’s educational quality over time and against global peers. It informs policy at the highest level — from curriculum reviews to resource distribution — and helps the nation focus on core competencies deemed critical for students’ future success in further education and the workforce ( National Assessment Program — Literacy and Numeracy — Department of Education, Australian Government ).

International Context

Comparative National Assessment Systems: NAPLAN can be situated in a global context by comparing it to similar large-scale student assessments in other countries. Many developed countries have nationwide testing programs to monitor school system performance, though their approaches vary. For example, the United States has the National Assessment of Educational Progress (NAEP), often called the Nation’s Report Card. NAEP is somewhat analogous to NAPLAN in that it measures student achievement in core subjects like reading and math across the country, but it differs by testing only a sampled cohort (not every student) and not providing individual or school results — it is purely a system-level barometer. In contrast, NAPLAN tests every student in the target year levels and reports at individual and school level, which is more similar to some state-level assessments in the US. Under federal requirements (past “No Child Left Behind” and now the Every Student Succeeds Act), U.S. states administer annual standardised tests in reading and math to most grade levels. Those state tests, like NAPLAN, provide individual scores and are used for school accountability. One key difference is that each U.S. state often has its own test (though many states join consortia like Smarter Balanced or PARCC to share tests), whereas NAPLAN is uniform nationwide. The trend in the U.S. has been a move to computer-adaptive testing in several states. For instance, the Smarter Balanced assessments are computer-adaptive and adjust question difficulty based on student responses, much like NAPLAN Online does ([PDF] The Smarter Balanced Summative Assessments — OSPI) (What is Digital SAT Adaptive Testing? — College Board Blog). This indicates Australia’s adoption of adaptive testing for NAPLAN aligns with international best practices for precise measurement.

In the United Kingdom, standardised testing exists at key stages. Primary students take national assessments (formerly called SATs) in Year 2 and Year 6 covering literacy and numeracy, similar to NAPLAN’s role in checking foundational skills. The UK has also introduced a phonics screening in Year 1 and a multiplication tables check in Year 4. Unlike NAPLAN, UK’s primary tests have historically been used more for school accountability and less for public transparency (results aren’t published school-by-school in league tables anymore, though that was done in the past). The UK’s approach is evolving — there is currently a debate on the utility and pressure of these exams, similar to conversations around NAPLAN.

Other English-speaking countries have varied approaches: New Zealand, for example, does not have a national exam for primary literacy/numeracy — it relies on teacher assessments and sampling studies. NZ briefly had National Standards (teacher-judgment-based benchmarks) but abolished them in 2017, reflecting a philosophy closer to Finland’s (trusting teacher assessment over standardised tests). Canada has provincial exams; Ontario’s Education Quality and Accountability Office (EQAO) tests in grades 3, 6, 9 (math and literacy) are in many ways comparable to NAPLAN, providing student and school results and recently transitioning to online formats.

Many high-performing Asian systems have high-stakes exams rather than low-stakes diagnostics like NAPLAN. For example, Singapore conducts the Primary School Leaving Examination (PSLE) at the end of primary (grade 6), which is high-stakes for secondary school placement — a very different purpose than NAPLAN’s diagnostic intent. However, Singapore also closely monitors student learning through continuous assessments and has been incorporating more holistic skills into their curriculum, if not into standardised tests yet. Japan has a National Assessment of Academic Ability for certain grades, and China famously has the high-stakes Zhongkao and Gaokao exams (for high school and university entrance respectively), but not much in the way of a low-stakes national diagnostic at primary level.

Innovative Approaches and Best Practices

In reviewing international assessment trends, several best practices and innovations emerge that Australia can benchmark against:

  • Reduced Emphasis on Single Tests: Some top-performing countries place less emphasis on nationwide standard tests for young students. Finland is a notable example: “There is no standardised testing in Finland. Students are graded individually by their teachers, and overall progress is mapped by sampling groups of schools.” (10 reasons why Finland’s education system is the best in the world | World Economic Forum). Instead of testing every student, Finland trusts teacher assessments and uses sample-based assessments to monitor the system. This reduces stress and avoids teaching-to-test, while still giving data on system health. This model is often cited as international best practice in terms of student well-being and teaching flexibility, though it relies on highly trained teachers and a culture of trust. While Australia’s context differs, the Finnish example suggests the value of moderation and professional judgment, possibly complementing standardised tests with teacher assessments.
  • Adaptive and Personalised Assessment: As seen with NAPLAN Online, the move to adaptive testing is considered cutting-edge. The U.S. Smarter Balanced consortium and the SAT (College Board) are now adaptive as well — the SAT went fully digital and implemented an adaptive format in 2023 (Will AI Make Standardized Tests Obsolete? | EdSurge News) (What is Digital SAT Adaptive Testing? — College Board Blog). Adaptive testing is internationally regarded as a way to get more precise and fair measures, especially for diverse ability ranges, and to improve student engagement by presenting an appropriate challenge level (NAPLAN’s Transition From Paper-Based To Online Tests | Janison). Australia’s implementation of this at a national scale puts it among the leaders in assessment innovation. Another aspect of personalisation is offering accommodations and access for students with disabilities, something NAPLAN has provisions for (e.g. adjustable font, disability adjustments), aligning with inclusion best practices globally.
  • Rapid Result Turnaround: International best practice is increasingly to deliver assessment data back to teachers quickly so it can inform teaching. In this regard, Australia’s recent improvement (results available within weeks) is a significant step toward best practice, but yet to be accelerated. Some computer-based assessments in other countries provide near-immediate feedback (for example, MAP Growth tests in the US give teachers results within a day or two since they are fully computer-scored). While NAPLAN’s writing test scoring is currently still performed by human markers and thus takes some time, further AI-driven automation could narrow the gap. Fast results maximise the formative value of a test.
  • Broader Skill Assessment: There is a growing trend to assess so-called 21st century skills — such as critical thinking, problem solving, collaboration, digital literacy — within large-scale assessments. This is seen in international programs: the OECD’s PISA, for example, has introduced innovative domains like Collaborative Problem Solving (2015), Global Competence (2018), Creative Thinking (2022), and coming in 2025, “Learning in the Digital World” which will measure students’ ability to solve problems in a simulated digital environment (PISA 2025 Learning in the Digital World — OECD) (PISA to test student motivation, self-regulation in digital learning in …). National exams are also slowly moving in this direction. The 2020 review of NAPLAN explicitly recommended including a new focus on critical and creative thinking, especially in STEM, to align with international best practice and future skills needs (Expert review recommends major changes — and a new name — for NAPLAN — Queensland Independent Schools Parents Network). Some education systems, like in certain provinces of Canada, have started to include open-ended performance tasks or inquiry-based assessments to capture higher-order thinking, although doing this at scale is challenging. The UK has been piloting ways to test problem-solving and reasoning in their math assessments to go beyond rote procedures. Australia can learn from these innovations by introducing more complex item types or separate modules for reasoning and creativity.
  • Computer-Based and Game-Based Assessments: Many countries are in the midst of moving testing online. Beyond simply digitising, some are exploring more interactive formats. Game-based assessment is an emerging idea where test problems are presented in game-like scenarios to measure skills in more engaging, applied ways. The OECD has noted that digital technology could enable a new generation of game-based standardised assessments that measure how students think and learn in complex environments (10 Game-based assessment for education — Publications) (How AI Will Shape the Future of Testing: Career Experts Share …). For example, research prototypes exist for assessments that look like video games, where students solve challenges and the system infers their competencies. While not mainstream yet, these ideas represent best practice thinking on how to make assessments more authentic and less test-like. Australia’s current NAPLAN platform could potentially support richer item types (it already supports some interactive question formats online). Observing how other jurisdictions pilot such innovative assessments will be useful.
  • Continuous Monitoring Systems: Instead of single high-stakes tests, some systems use more frequent, low-stakes assessments to continuously monitor progress. In the US, many schools use interim assessments (like MAP or i-Ready) thrice a year to track growth. These are adaptive and provide immediate feedback to teachers. Though not government-mandated, their widespread use indicates a best practice of continuous formative assessment alongside summative testing. This approach might inspire the future of national assessments, integrating periodic checks rather than one-shot exams.

Australia’s International Standing in Testing: In terms of test quality, Australia’s NAPLAN is generally well-regarded internationally. The fact that NAPLAN data is equated and placed on a stable scale each year means Australia can reliably track trends over time — a technical robustness many countries lack in their changing assessments. The successful transition of NAPLAN to an online adaptive format by 2022–2023 puts Australia ahead of many countries that are only beginning to implement computer-based national tests. The scale of NAPLAN Online — over a million students and ~4.4 million tests in 2023 — was cited as possibly the largest simultaneous online school assessment event globally (Janison extends NAPLAN Online agreement to 2030 in $24m+ deal | Janison Education Group). The platform’s ability to handle 300,000+ concurrent users smoothly is a notable technical achievement (Janison extends NAPLAN Online agreement to 2030 in $24m+ deal | Janison Education Group), showcasing Australian innovation in exam technology.

On the other hand, Australia has been concerned about stagnating or declining student outcomes relative to other countries. PISA results up to 2018 showed a decline in reading, math, and science scores for Australia over the 2000s (Australia’s PISA performance declines further — Teacher Magazine) (PISA 2018: Australian student performance in long-term decline). While PISA and NAPLAN are different (PISA tests 15-year-olds on application of knowledge), consistent signals of plateauing performance led to scrutiny of whether NAPLAN was driving improvement as intended. Some critics pointed out that despite a decade of NAPLAN, Australia’s international rankings slipped, questioning whether the focus on testing was yielding the desired lift in standards. In 2023, a teachers’ union-commissioned review even suggested replacing NAPLAN with the international PISA test as a better measure. However, education experts generally agree that NAPLAN provides richer diagnostic detail than a one-off international test could, so the more likely path is reforming NAPLAN rather than scrapping it, by delivering more actionable insights from the diagnostic data.

Adapting Frameworks for the Future: Many countries are rethinking assessment in light of future challenges — this includes adapting to technology, addressing student well-being, and focusing on future skills. For instance, after the disruption of COVID-19 (which caused the cancellation of NAPLAN 2020 and many other exams globally, more resilient models of delivery are developed (e.g. remote proctoring, as discussed below for AI). The UK is reviewing its secondary assessment system with proposals to include more varied forms of assessment and not rely solely on timed exams. In the US, there’s a post-pandemic reconsideration of college admissions tests (as many colleges went test-optional, and testing companies like ETS are refocusing on new forms of assessment) (Will AI Make Standardized Tests Obsolete? | EdSurge News).

Crucially, across the world, AI and digital tools are prompting a re-evaluation of what and how we test — a topic we delve into next. Nations that quickly integrate these tools and the skills associated with them into their assessment regimes will likely set the future benchmark. Australia’s ongoing reforms (earlier testing in the year, new proficiency standards, potential new content areas) suggest it is positioning itself to maintain a leading position in assessment practices, learning from and contributing to global best practice.

Educational Paradigm Shifts in the Age of AI

AI in Teaching and Learning: The rapid advancement of artificial intelligence is transforming educational methodologies in profound ways. In classrooms and online learning platforms, AI is increasingly being used to deliver personalised learning experiences. Intelligent Tutoring Systems (ITS) can adapt practice questions to a student’s skill level, provide hints, and give instant feedback, much like a human tutor. For example, AI-driven tutoring software can observe how a student solves math problems and then present targeted exercises to address that student’s specific misconceptions or knowledge gaps (The Transformative Power of AI-Enhanced High-Dose Tutoring). This kind of individualised attention, at scale, is a game-changer — it can boost student engagement and achievement by tailoring instruction to the right zone of proximal development for each learner. Early studies on AI tutors have found improvements in student retention of material and more efficient learning paths when compared to one-size-fits-all instruction (AI in Education: The Rise of Intelligent Tutoring Systems).

Beyond tutoring, AI is enabling new forms of interactive and immersive learning. Educational games and simulations now often have AI components that adjust difficulty or narrative based on student choices, making learning more engaging. AI-driven analytics also help teachers by analysing data from student work (quizzes, homework, even class participation) to identify patterns — for instance, an AI system might flag that a large subset of the class didn’t grasp a particular concept, prompting the teacher to review it.

AI is also increasingly assisting teachers with administrative and planning tasks. Systems exist that can automatically grade multiple-choice and even essay questions using natural language processing, thereby reducing teachers’ grading load. AI can generate draft lesson plans or suggest resources aligned to curriculum objectives, based on a teacher’s outline. This allows teachers to spend more time on creative teaching aspects and one-on-one student interactions. However, it’s important to note that AI is a support, not a replacement; the teacher’s role as facilitator, mentor, and content expert remains irreplaceable, especially in guiding higher-order thinking and social-emotional learning.

Impact on Traditional Assessment Approaches: The rise of AI is prompting educators to rethink assessment methods. Traditional assessments often involve students recalling information or performing skills in a closed-book environment. But with Large Language Models (LLM) now capable of instantly providing information, solving problems, and writing essays, the skills that assessments need to measure are shifting. For instance, if an AI can quickly produce a competent essay, then testing a student’s ability to write a basic essay in isolation might be less meaningful. Instead, assessments may need to focus on a student’s ability to craft good prompts, utilise AI output effectively, and critically evaluate and improve upon AI-generated content — essentially testing higher-order thinking around the use of AI, rather than rote production of what AI can do. This is a major paradigm shift: from assessing what students know to assessing how students think and solve problems, including how capable they are at leveraging tools.

AI also enables new modes of assessment. Instead of traditional exams where a student answers a static set of questions, AI allows for dynamic assessment. For example, an AI-driven assessment might observe the process a student uses to solve a complex problem — tracking each step, hint usage, and strategy — and score the student not just on the final answer but on the problem-solving process itself. We see early signs of this: education organisations like ETS (Educational Testing Service, which administers tests like TOEFL and previously the SAT) are moving toward assessments that are “more behavioral than they are cognitive,” focusing on how a student approaches tasks. As one expert noted, future assessments might monitor if a student asks for hints, how long they persist on a tough question, whether they collaborate appropriately, etc., to gauge traits like perseverance and strategic thinking (Will AI Make Standardized Tests Obsolete? | EdSurge News). AI can facilitate this by handling the complex data tracking and analysis in real time.

Moreover, AI is driving the concept of continuous and embedded assessment. Rather than having students stop learning to take a test, assessment can be woven into learning activities. For example, as students work through an AI-based learning module, the system can continuously assess their performance and gather evidence of competencies. By the end of the module, the AI can produce an assessment report without the student ever feeling like they took a test — the assessment happened invisibly in the background. This challenges the traditional “sit in a room for 2 hours and answer questions” model. As one educational leader put it, we can start to “move away from requiring students to stop everything to sit in a room to answer questions for a couple hours,” instead leveraging existing data from classwork, projects, even extracurricular activities to evaluate skills (Will AI Make Standardized Tests Obsolete? | EdSurge News). In the future, a student’s participation in a coding club or a science fair, tracked and analysed by AI, could contribute to an assessment of problem-solving or creativity.

The workforce of the future — which today’s students will join — is expected to be deeply influenced by AI automation. Routine cognitive skills (e.g. basic calculation, information retrieval) are increasingly done by machines. As a result, education systems globally are shifting learning objectives toward skills that complement AI: creativity, emotional intelligence, advanced reasoning, interdisciplinary thinking. We see this reflected in new curricula: for instance, Australia’s latest curriculum updates and the 2020 Alice Springs (Mparntwe) Declaration on education goals emphasise critical thinking, creative thinking, and digital literacy as key outcomes. Assessments must follow suit by prioritising these areas.

The AI-driven shift in education is broadening the competencies we value. The measurement of learning is thus pivoting from static knowledge recall to dynamic skill demonstration. Educators are recognising that if schools only test what is easy to test (like content knowledge), they risk neglecting what is important to learn in the age of AI (like critical thinking and adaptability). Measurement priorities are changing to include how students think, not just what they know. This includes capturing learning agility — a student’s ability to learn new things in novel situations, which is crucial when knowledge quickly becomes outdated.

The challenge and opportunity is to design assessments that validly capture these complex skills. Future assessments might intentionally put students in scenarios requiring them to learn or research something on the spot (possibly with AI help) and then apply it, mimicking real-world problem solving. This is a departure from current tests which assume a fixed body of content the student has already been taught.

Another shift in measurement is towards competency-based assessment. Rather than grading students purely by year-level expectations, some systems (like those in parts of the US and Scandinavia) are moving to ensure students demonstrate mastery of specific competencies at their own pace. AI can help track and evaluate mastery continuously. Australia could consider if NAPLAN or its future iterations could incorporate a competency-based element, where students are assessed when ready, or repeatedly until mastery is achieved, instead of a one-time snapshot in Year 3, 5, 7, 9.

In conclusion, AI is acting as both a catalyst and an enabler for change in education. It’s pushing us to value different skills, and providing tools to assess those skills in new ways. Traditional assessments are being challenged to evolve — to become more adaptive, continuous, process-focused, and aligned with the skills that matter in an AI-augmented world.

The Future of NAPLAN: Threats & Opportunities

As AI reshapes the educational landscape, NAPLAN itself faces both threats and opportunities. This section examines how well NAPLAN is technologically positioned for change, and identifies ways AI could improve (or threaten) assessment delivery and analysis, as well as potential new domains NAPLAN might cover to remain relevant in an AI-driven paradigm.

Current Technological Readiness of NAPLAN:

NAPLAN has made significant strides in its tech infrastructure. The transition to NAPLAN Online, completed in the early 2020s, means the assessment is now largely delivered via a robust digital platform nationwide. This move is a fundamental prerequisite for any AI-enhanced features, and it addressed many prior limitations. The online platform, developed by Janison in partnership with ESA and ACARA, was built with scale and resilience in mind. In 2023, it successfully delivered 4.4 million test sessions to about 1.2 million students, peaking at over 300,000 concurrent users (Janison extends NAPLAN Online agreement to 2030 in $24m+ deal | Janison Education Group). This demonstrates that the technical foundation (cloud-based, scalable architecture) is robust. The system’s design also incorporated solutions for Australia’s digital divide, such as a lockdown browser with offline capabilities: if a student’s internet drops, the test auto-saves every 30 seconds and can continue locally, syncing when connection returns. This feature ensures equitable access for rural and remote schools with patchy internet, a critical consideration for any advanced online assessment (NAPLAN’s Transition From Paper-Based To Online Tests | Janison).

Moreover, NAPLAN Online already uses an algorithmic adaptive testing engine. This is a form of intelligence (albeit rule-based) that dynamically selects questions for students. The success of adaptive testing in NAPLAN suggests Janison has the capability to deploy complex algorithms reliably at scale. While the current algorithm likely follows a predetermined branching structure (multistage testing), it sets the stage for potentially more sophisticated AI-driven adaptivity in the future (for instance, fully individualised item selection or real-time difficulty adjustments beyond the current 3-tier branching).

In terms of data, NAPLAN has amassed a rich longitudinal dataset (since 2008, and more granularly since online testing). This data could train AI models for various purposes, such as predicting student trajectories or identifying at-risk schools. However, one must note that most of NAPLAN’s data analysis to date has been classical statistical rather than machine-learning based. There is an opportunity to apply AI analytics to mine this data for deeper insights (e.g. patterns of misconceptions among students nationally, or anomalies in data that might indicate issues like cheating or curriculum misalignment in certain areas).

NAPLAN’s marking processes have room to incorporate AI. Automated essay scoring technology has matured and is used by world-class testing agencies like ETS and Pearson for exams like TOEFL and PTE. ACARA still uses human markers for the writing task as of now, but there’s an opportunity to use AI to score essays to deliver better consistency (with human oversight) and turnaround times. The platform’s ability to collect detailed response process data (e.g. timing on each question, keystrokes for typed responses) is likely already present. Using AI to analyse such process data can give novel insights — for example, identifying if a student engaged in an unusual pattern that might indicate they were guessing versus demonstrating mastery.

In short, NAPLAN’s digital transformation has made it largely AI-ready from an infrastructure standpoint. The next step is leveraging that infrastructure with intelligent features.

AI-related Challenges and Threats to NAPLAN

With any introduction of AI, we must consider challenges and threats:

  • Cheating and Unauthorised AI use: As AI tools (like solving apps or language models) become widely accessible, test security is a concern. Currently, NAPLAN is conducted in schools under supervision with a locked-down browser, which mitigates students using external AI tools during the test. However, if NAPLAN were administered remotely or if students find ways to smuggle devices, AI could be used to cheat. Ensuring the testing environment remains controlled is paramount. There’s also the concern of students pre-training for tests using AI (e.g. predicting likely writing prompts and rehearsing AI-generated essays). NAPLAN will need item security and possibly more item variability to counter AI-enabled cheating.
  • AI Bias and Fairness: If machine learning models are used in scoring or test assembly, biases could creep in. For example, an essay scoring AI might inadvertently favor certain writing styles or dialects (if not properly trained on diverse samples). Or an AI-based adaptive algorithm might, through its training data, develop biases that advantage one group of students over another. The EdSurge analysis highlighted that if AI training data reflects privileged groups more, the AI’s decisions could disadvantage underrepresented students (Will AI Make Standardized Tests Obsolete? | EdSurge News). This is a serious risk for an equity-focused test. ACARA would need to drive rigorous validation to ensure any AI components (like automated scoring) are fair across gender, culture, language backgrounds, etc., and likely maintain human checks and transparency.
  • Public Trust: Introducing more AI into a national test could raise skepticism. Stakeholders will want to know that decisions affecting students (like scores or the questions they see) are not made by a “black box.” If an algorithm is too opaque, it could cause confusion or mistrust among students and parents, especially if outcomes seem unexpected (Will AI Make Standardized Tests Obsolete? | EdSurge News). There’s a cautionary tale from 2020 in the UK, where an algorithm used to moderate exam grades (when exams were canceled) caused public outcry due to perceived unfairness and lack of transparency (Will AI Make Standardized Tests Obsolete? | EdSurge News). NAPLAN must avoid such scenarios by prioritising explainability in AI model applications, keeping humans in the loop and clearly communicating how AI is used in the assessment process.
  • Relevance of Content: A more existential threat is that NAPLAN could become outdated if it doesn’t adapt to changing skill demands. If students and teachers perceive NAPLAN as testing trivial skills that AI can handle (like basic arithmetic or spelling isolated words) and not focusing on what students truly need in the age of AI, its credibility will suffer. This isn’t a threat of AI per se, but a threat of not responding to AI-driven change. It underscores the need to evolve NAPLAN’s content (for instance, perhaps placing more weight on reasoning steps).

Despite these threats, the opportunities are significant:

AI-related Strengths and Opportunities for NAPLAN

  • Automated Scoring and Feedback: Multimodal AI can score not only essays but also short-answer questions, spoken responses, even drawings or graphs to some extent. By deploying natural language processing and pattern recognition, NAPLAN could include more open-ended tasks that were previously difficult to mark at scale. For example, a student could be asked to explain their reasoning to a math problem in a written response; an AI could parse the explanation for logical correctness and clarity. Immediate scoring means faster results. Furthermore, AI can provide feedback to students and teachers that is far more detailed than a score — e.g. “The student’s essay had strong vocabulary but lacked a clear conclusion,” or “The student struggled with multiplication of two-digit numbers.” This kind of feedback, generated at scale, could be transformational for teaching, essentially performing an analysis that previously only a teacher closely reviewing a test could do.
  • Data Analytics for Insights: AI can sift through the huge NAPLAN dataset to find insights that humans might miss. For instance, machine learning could identify clusters of schools with similar performance patterns and perhaps correlate those with certain teaching practices (if such augmented data is made available) — providing insight into what interventions lift performance. AI could also detect trends or anomalies in the data early. If, say, students across the nation are consistently faltering on a certain new curriculum topic, AI could flag this so curriculum developers can respond. On the flip side, if a group of students perform improbably well, AI might detect potential cheating or gaming of the test. Essentially, AI could bolster the assessment validation and research aspect of NAPLAN, continuously learning from the data to refine the test.
  • New Assessment Formats: With AI oversight, NAPLAN could experiment with format innovations like interactive simulations. Imagine a science literacy component (perhaps as an extension of the current NAP Sample assessments) where students perform a virtual experiment — AI can monitor their actions and conclusions to assess scientific reasoning. Similarly, a “problem-solving” test could present a complex, multi-step problem (like debugging a piece of code or analyzing a data set) and require the student to work through it in a sandbox environment; AI would evaluate the process and outcome. These formats provide a more holistic view of student ability and can make the test more engaging. NAPLAN’s platform would need enhancements to support these, but Janison is positioned well to deliver such possibilities, especially given its work with PISA which includes problem-solving scenarios.

New Assessment Areas in an AI-Driven Paradigm: To remain relevant as AI changes skill priorities, the National Assessment Program may consider expanding the domains it assesses:

  • Digital and Data Literacy: One opportunity is to formally assess digital literacy — ensuring students can critically use computers, interpret information, understand basic coding or algorithmic thinking. ACARA has an ICT literacy sample assessment already (as part of NAP Sample program) (NAP — For parents and carers), which could be modernised and potentially integrated as a regular assessment. Given the emphasis on STEM, an assessment of computational thinking or data interpretation skills could be highly relevant. For example, a test where students must interpret a set of data and draw conclusions (with the aid of a simple data tool) would test critical thinking in a digital context.
  • Creative and Critical Thinking: As recommended by the 2020 NAPLAN review, adding tasks that measure creative and critical thinking, particularly in STEM contexts, is important (Expert review recommends major changes — and a new name — for NAPLAN — Queensland Independent Schools Parents Network). This might involve open-ended problems with multiple solutions, where students must propose and justify an approach. Scoring such tasks at scale can be achieved or at least assisted by AI, e.g. by grouping similar responses or highlighting original ones.
  • Collaborative Problem Solving: While challenging, Australia could consider assessment of collaboration (perhaps first as an optional or sample assessment). PISA attempted a Collaborative Problem Solving test in 2015, where students interacted with computer agents to simulate teamwork. A similar approach could be used in NAP — students might have to chat with an AI assistant to solve a puzzle, and the AI evaluates their collaborative skills. While this remains experimental, it is feasible with the latest generation of foundation LLMs.
  • Ethics and Civics in the Digital Age: NAPLAN currently focuses on literacy/numeracy. But as part of the broader National Assessment Program, assessing students’ understanding of civic responsibilities, including digital citizenship, may gain importance. A modernised civics assessment (building on the existing sample Civics test) could incorporate scenarios on social media use, discerning fake news, or ethical dilemmas involving technology — topics highly relevant to today’s learners.

Any addition of new areas would need careful introduction (possibly as sample or opt-in assessments first) and stakeholder buy-in. But broadening what we test is key to aligning with a paradigm shift in what we value educationally.

In conclusion, AI provides tools for NAPLAN to become more adaptive, more diagnostic, and more aligned to future skills. The current tech readiness is promising, but moving forward requires careful balancing of innovation with fairness and transparency. With technological competent implementation, AI can help NAPLAN evolve from a blunt measurement instrument to a smarter, integrated assessment system that not only evaluates learning but actively supports it.

Transforming NAPLAN for the Future

In light of the current state and AI-driven changes, we now envision a future state for NAPLAN and related assessment services. This future state involves a transformation of the NAPLAN assessment itself, broader applications of the assessment platform beyond K-12 literacy/numeracy, and integration of assessment outcomes with personalised learning. The guiding principle is that assessment should support learning and development in a technology-rich environment, while maintaining fairness, validity, and public confidence. Below are key recommendations and features of this future state, along with considerations for implementation and risks.

Evolving Assessment Content and Structure:

NAPLAN’s content must adapt to measure the competencies that matter for students graduating into the 2030s. By that time, foundational literacy and numeracy will remain important, but additional skills like digital literacy, critical thinking, and problem-solving will be equally critical. We recommend broadening the NAPLAN assessment framework to include these. This could be done by introducing new sections or modules within NAPLAN. For example, a “computational thinking” component could be added to the numeracy test, containing questions where students interpret algorithms or patterns. A “critical thinking” component could be integrated into reading or as a stand-alone segment where students evaluate the credibility of sources or identify logical fallacies in arguments. ACARA’s own review has pointed the way, suggesting more focus on critical and creative thinking in STEM (Expert review recommends major changes — and a new name — for NAPLAN — Queensland Independent Schools Parents Network).

The structure of the test should also evolve from mostly selected-response (multiple-choice) and short constructed-response items to more open-ended and performance-based tasks. By 2030, we envision NAPLAN including tasks such as: writing an analytical essay (continuing the writing task but possibly giving a choice of prompts or formats), conducting a virtual experiment and recording observations (for science literacy), or solving a multi-step real-world math problem with space to show working and reasoning. Technology will enable multi-stage tasks, where a student’s response in one stage determines the next part (adaptive not just in difficulty, but in scenario progression). For example, a student may be given an initial problem; based on their answer, they receive a follow-up question that probes deeper or asks for reflection on a mistake, etc. This mirrors good teaching practice and makes the test feel more like a conversation than a static quiz.

Such changes will require updating test blueprints and likely increasing the testing time or breaking it into sub-sessions. One could have a core literacy/numeracy test and optional extensions or sample-based assessments in other areas to avoid overburdening every student every year. Another structural change could be the introduction of year 10 testing (as the 2020 review recommended (Expert review recommends major changes — and a new name — for NAPLAN — Queensland Independent Schools Parents Network)) to provide data closer to the senior secondary stage. By testing in Year 10 instead of Year 9, results can inform Year 11 subject choices and give a more up-to-date picture of skills as students enter the final years of school. This would align with the goal of making NAPLAN maximally useful for student pathways.

Next-Generation Delivery Mechanisms:

From a platform perspective, we recommend continued enhancement of the online system with mobile compatibility and low-bandwidth modes. While currently NAPLAN is taken on computers or tablets in school, in the future it might be feasible for students to securely take tests on a wider array of devices, even at home if needed (with remote proctoring if necessary). Remote proctoring technology, powered by AI, is already used in professional testing to monitor for cheating via webcam and screen recording. By 2030, if needed (e.g. for students who cannot attend school), NAPLAN could be administered with an AI proctor that flags suspicious behavior for human review. This ensures continuity of assessment in any circumstance.

The platform should incorporate more interactive item types: drag-and-drop, simulations, audio/video stimuli, spoken responses, etc. This makes the test more engaging and able to test a wider range of skills. Janison’s platform should continuously integrate new question formats (as it likely will through its development roadmap with ESA (Janison extends NAPLAN Online agreement to 2030 in $24m+ deal | Janison Education Group). A potential goal could be to enable “game-like” assessments for younger year levels — for instance, Year 3 NAPLAN could have an interface that feels more like an adventure where students answer questions to progress, reducing test anxiety and capturing their attention (of course, still yielding rigorous data behind the scenes).

Data Collection and Analysis Improvements:

In the future state, the data collected from NAPLAN should go beyond right/wrong on questions. The system will log process data: how long did a student spend on each item, which items they revisited or changed answers on, how they constructed their answer (for essays, maybe capturing draft progression), etc. With AI analytics, this wealth of data can provide insights like never before. We recommend developing an analytics dashboard for teachers and schools that visualises this process data in actionable ways. For example, it might show that a student is guessing (very short response times) on certain item types, or that they demonstrate persistence (longer times with ultimately correct answer) on challenging items — information a teacher can use to shape that student’s learning strategy. On a class level, analytics might identify that “Question 5 saw 80% of your class struggle and take much longer than expected” indicating a concept that needs re-teaching.

Furthermore, linking NAPLAN data with other data sources will be valuable. By 2030, schools will have many digital learning systems (LMS, e-books, etc.). ACARA or the assessment platform provider could partner to integrate these data (with privacy protections). For example, correlating NAPLAN performance with students’ usage of a reading app or math practice software could yield early warning signs for low performance or validate the effectiveness of certain ed-tech tools. This learning analytics ecosystem would position NAPLAN not as a standalone event but part of a continuous data stream about student learning.

Result Reporting and Follow-Up Steps:

In the future state, reporting of NAPLAN results should be instantaneous or near-instantaneous for much of the assessment. As soon as a student finishes, the computer-scored portions (which could be the majority if not all of the test, with limited human-in-the-loop quality assurance) are immediately available. Within minutes or hours, automated scoring engines could also produce results for constructed responses. This means teachers and students might get preliminary results the same day. By leveraging AI scoring, the goal of delivering results within days of testing (floated by the NAPLAN review panel) can be achieved (Expert review recommends major changes — and a new name — for NAPLAN — Queensland Independent Schools Parents Network). In fact, ACARA should aim for real-time dashboards during the testing window — so a school leader could see, for instance, a live summary of how their students are going (anonymised until completion, perhaps) or at least get quick turnaround so interventions can start in Term 1 itself.

The report formats should become more user-friendly and diagnostic. We envision interactive digital reports rather than just paper PDFs. A parent should be able to log in and see their child’s performance depicted visually, with clear explanations of what “Strong” or “Developing” means in each domain. They might even click on a domain (say, numeracy) and see a breakdown of skills (e.g. “Your child can do X and Y reliably, but struggled with Z”). Teachers and schools would have a more advanced interface where they can drill down into item analyses, compare sub-group performances, and generate custom reports (perhaps to examine gender gaps in their class, or performance of EAL students, etc.).

Crucially, results need to become actionable. Therefore, the future NAPLAN system will directly connect results to resources (see Learning Integration section below). For example, a student report could include a link or recommendation: “Based on this result, here are some practice exercises or reading materials on the areas where you need improvement.” Likewise, a teacher could get a list of suggested strategies or resources for common weaknesses identified in her class’s NAPLAN results.

The My School website in its current form might evolve or be replaced by a more nuanced public reporting system. Instead of just showing test scores and bands, it might display growth metrics and contextual indicators (already it shows some, but this could be enhanced) to focus public attention on improvement and equity rather than raw scores. Alternatively, given controversies around school comparisons, by 2030 My School might focus on showing progress and gain as the primary indicators, as well as showcasing qualitative improvements schools are making. The goal in public reporting would be to maintain transparency but reduce unhealthy competition or stigma.

Ensuring Validity and Ethical Use: In implementing these changes, maintaining the validity (does the test measure what it claims) and reliability (consistent and accurate results) is paramount. All new item types and domains would go through extensive piloting and validation like current NAPLAN items do (NAP — Test development ). The scoring models, especially any AI-driven ones, must be validated against human judgment and checked for bias which can be performed testing against historical data (Will AI Make Standardized Tests Obsolete? | EdSurge News). An ethical framework for AI use in assessment should be adopted, as suggested by experts (How AI Will Shape the Future of Testing: Career Experts Share Predictions for 2025). This would include transparency about where AI is used (e.g. if essays are auto-scored, that should be disclosed and an avenue for appeal or re-mark by a human should exist if there are concerns). It also includes data privacy — ensuring all that rich data collected is securely stored (likely onshore as is currently the case with Azure data centers (NAPLAN’s Transition From Paper-Based To Online Tests | Janison)) and used only for legitimate educational purposes with consent.

In summary, the transformed NAPLAN will be a smarter, broader assessment: one that measures a wider array of important skills, engages students with adaptive and interactive content, delivers more timely and meaningful feedback, and feeds directly into improving the learning journey with personalised learning pathways. It will uphold ethical standards by being fair, transparent, and supportive of student well-being (for example, less stress through flexible delivery and less emphasis on one-shot performance). This transformed model would be phased in over the coming years — perhaps piloted in one domain or year level before full rollout — to ensure smooth change management.

Market Expansion Opportunities

With the development of a sophisticated assessment platform and expertise through NAPLAN, there is significant opportunity for the provider (ACARA/ESA and Janison as the tech partner) to expand into other assessment markets. This can not only create a more unified assessment experience across a learner’s lifetime, but also represents a business growth avenue and a way to leverage the investment in NAPLAN’s technology for broader benefit.

University Entrance Examinations: Currently, Australia does not have a single national university entrance exam like the US SAT; admission relies on Year 12 results/ATAR. However, there are discussions around diversification of entry metrics. The NAPLAN platform could be adapted to deliver optional university admissions tests or aptitude tests. For example, an Australian Scholastic Assessment Test (ASAT) could be developed to measure general reasoning, science literacy, or other skills for university-bound students, especially if universities seek a common measure to compare students across states (since curricula and grading can differ). Given Janison’s platform handled the scale of NAPLAN, it could easily handle a cohort of Year 12s on a test. In fact, Janison has partnerships with higher education publishers (Oxford and Cambridge University Press) (Janison extends NAPLAN Online agreement to 2030 in $24m+ deal | Janison Education Group), enabling it to venture into higher-ed assessment delivery. A collaboration between ACARA and Australian universities (or the tertiary admissions centers) could create an online exam for critical thinking or specific fields (like an engineering aptitude test) using the same tech infrastructure. This might be especially useful for selection into competitive programs or as a fallback if Year 12 exams are disrupted (much like some countries introduced exams when school assessments were deemed inconsistent).

Additionally, foundation or bridging courses could use tailored assessments on this platform to gauge if students are ready for university-level work. There is also potential in the international student market: an English language or academic skills test for international applicants, leveraging ACARA’s assessment know-how, could compete with tests like IELTS or SAT. With Janison already powering the OECD’s PISA for Schools in many countries, serving either as the National Service Provider (NSP) or the International Platform Provider (IPP) in 15 countries as of February 2025, the platform has global reach and credibility that could be extended to a global university entrance exam, if such a concept took hold (OECD “PISA for Schools” test now available across the UK …).

Professional Certification and Licensure: Many professions require certification exams (think of CPA for accountants, or various IT certifications). Janison’s platform is already marketed for corporations and certification bodies (Online Assessment Solutions — Janison) (Online Assessment & Exam Platform — Janison). The NAPLAN provider could expand services to professional assessment, offering secure, scalable exam delivery for certification boards or professional associations. This could range from delivering the test content (if ACARA or partners develop it) to simply providing the exam platform as a service.

One interesting synergy is using the platform for teacher assessments or professional development tests. For instance, if Australia ever implemented a national teacher entry exam or a test for teacher professional standards, the existing infrastructure could serve that need. The same goes for vocational education: trade licensing exams or TAFE assessments might be brought online via such a platform.

Workplace Skills and Recruitment Assessments: Corporations often use aptitude tests for hiring (cognitive ability tests, personality questionnaires, etc.). The assessment platform could be adapted for large-scale workforce skills evaluation, either directly by companies or in partnership with job agencies. The idea of a national skills passport is floating around in policy circles — where individuals accumulate micro-credentials or demonstrate skills over their lifetime. Janison could position to host assessments for certain baseline skills that employers value (e.g. a critical thinking test, a digital literacy test) that individuals take and share results with employers. This ties into the micro-credential trend noted by industry experts: as micro-credentials rise, there’s a need for reliable assessments to certify those skills (How AI Will Shape the Future of Testing: Career Experts Share Predictions for 2025).

Given Janison’s platform is presently in use across 117 countries for various tests, expansion into new domains is natural. In fact, Janison being approved as an assessment provider in 15 countries for PISA for Schools shows that the Australian assessment technology provider can successfully enter different markets. They might offer a turn-key exam solution to any organisation needing to test large numbers of people with high security and psychometric rigor.

Continuous Professional Development (CPD) Tracking: By 2030, more learning will be lifelong and modular. ACARA or the assessment provider could create a lifelong learning assessment hub, where individuals (perhaps the same students who did NAPLAN) continue to take assessments throughout their careers — for new certifications, for self-assessment, etc. Because the platform could keep a record (with user consent) of all these achievements, it essentially could serve as part of a digital portfolio or credentials wallet.

From a business model perspective, these expansions mean moving from a single client (governments for NAPLAN) to multiple clients (universities, companies, other governments, international organisations). Janison has already moved in that direction with deals with OECD, British Council, etc. The NAPLAN contract renewal to 2030 (Janison extends NAPLAN Online agreement to 2030 in $24m+ deal | Janison Education Group) gives a stable base, and the experience gained can be sold elsewhere. ACARA could either license content or frameworks for other tests (for example, ACARA could develop an Australian critical thinking test and license its use abroad, similar to how PISA is an international benchmark).

Partnership and Collaboration Frameworks: To realise these expansions, collaboration is key. ACARA/ESA and Janison should strengthen partnerships with:

  • International Assessment Agencies: Partnerships with bodies like the OECD (already in place for PISA for Schools) or other countries’ education ministries to help digitise their assessments. ACARA could share expertise in rolling out a national online test. This could bring in revenue or simply international goodwill and exchange of best practices. It positions Australia as a leader in educational assessment on the world stage.
  • Higher Education Sector: Work with Universities Australia or groups of universities to pilot any college-readiness assessments or to use NAPLAN data predictive analytics for university success. Some universities might be interested in a standardised test to identify high-potential students from disadvantaged schools, for instance. A co-developed solution could be win-win.
  • Industry and Certification Boards: Creating a consortium or working group with industry bodies to identify core skills that can be assessed for workforce readiness. This might lead to a suite of “work readiness” assessments (communication, teamwork, problem-solving) delivered by the platform to new graduates or job seekers, supplementing their academic credentials.
  • EdTech Companies: Rather than build everything in-house, the NAPLAN provider can integrate with or white-label solutions from innovative EdTech. For example, if a startup has a great AI simulation for assessing coding skills, Janison could integrate that into their platform offering. Partnerships might also involve content providers (like textbook publishers who have assessment content that could be delivered via the platform).

From a governance perspective, ACARA’s core mission is K-12 assessment, so a separate entity or division might handle these broader markets to avoid mission drift. Janison as a private company can directly pursue these markets (and is doing so), with ACARA/ESA benefiting indirectly through improved platform capabilities and possibly revenue-sharing if any co-developed content is sold.

Technology Enhancements for Expansion: To serve broader applications, some technology enhancements would be needed: robust identity verification (for high-stakes professional exams, integrating things like facial recognition or biometric login), advanced proctoring tools to ensure security in remote settings, and support for a wider range of item types (like simulation-based questions for technical certifications, rich media for creative tests, etc.). Janison’s platform already offers features like advanced marking controls and analysis tools (Online Assessment & Exam Platform — Janison), which would benefit any exam use-case. Ensuring scalability beyond school hours (for example, professionals might take tests at night or weekends, meaning the platform has to be highly available all the time) is another factor.

In conclusion, the future state sees the NAPLAN infrastructure evolving into a multi-purpose assessment ecosystem for Australia and beyond. It retains its core function for school students, but also branches out to support learning and credentialing across educational transitions and into the workforce. This diversification not only makes better use of existing and evolving technology (improving return on investment) but also helps create more cohesive assessment standards in society (for example, a common thread from school to work in assessing critical skills). Done right, Australia could develop an end-to-end assessment solution admired globally.

Personalised Learning Pathways

Assessment is not an isolated activity but best seamlessly integrated with the learning process. The rich data from NAPLAN and other assessments should be used to personalise education for each student, with AI-driven systems recommending resources and learning pathways tailored to individual needs. This integration closes the feedback loop: assessments identify what a student knows and needs, and then immediately inform the next steps in their learning journey.

AI-Driven Personalised Learning Pathways:

Building on NAPLAN results, we propose a framework where each student has a personalised learning profile. Students’ NAPLAN outcomes already feed into a report of their mastery level across various competencies. For example, it might show that a student is strong in reading comprehension but needs work on inferring meaning from context, or that in numeracy they have mastered arithmetic but struggle with geometry. Based on this profile, an AI system can generate tailored learning pathway at scale — essentially an individualised curriculum supplement.

This pathway could include specific goals (e.g. “Improve ability to interpret information texts”), and a sequence of recommended activities. These activities might be online practice exercises, instructional videos, interactive simulations, or even project suggestions, all drawn from a large repository of learning resources. Given ACARA’s role in the Australian Curriculum, they could link the assessment results directly to relevant curriculum resources. For instance, if a Year 7 student is weak in a Year 5 level numeracy skill according to NAPLAN, the system might suggest a remedial module aligned to that Year 5 curriculum content.

AI Recommendation Systems for Educational Resources:

Much like streaming services recommend movies or songs based on user data, an AI recommendation engine can suggest learning materials to students. Several EdTech platforms already do something similar (Khan Academy’s mastery system, for example, or adaptive learning software that picks next exercises). The difference here is using NAPLAN’s credible, standardised, curriculum-informed data as a key input to those recommendations. A national assessment-linked recommender could also ensure alignment with curriculum standards and quality control of resources.

For example, a student’s report could come with a login to a portal where they can access recommended lessons. If NAPLAN shows a student in Year 9 is below the benchmark in writing, the portal might recommend specific writing tutorials and then give practice questions. After the student engages with those, a quick formative quiz can check progress (which the AI uses to adjust further recommendations). Over time, this system functions like a personal tutor that knows exactly which competencies the student needs to work on — essentially operationalising assessment for learning on an individualised scale.

For parents and students, this is highly valuable: rather than just receiving a score, they receive a concrete plan and the tools to improve. It turns NAPLAN from purely evaluative to also prescriptive (in a helpful way). For teachers, the recommendation system can lighten the load of finding remediation materials. Teachers might be able to review, customise or augment the recommendations, but much of the heavy lifting (analysing data and matching to resources) is done by AI.

Integration with Educational Platforms

The personalised learning system should integrate smoothly with existing platforms that schools and students use. For instance, many schools use Learning Management Systems (LMS) like Google Classroom, Canvas, or Microsoft Teams for Education. The NAPLAN learning recommendations could be made available through these systems via single sign-on (SSO) or plugins. A teacher, while looking at their LMS gradebook, could see NAPLAN insights and click to assign recommended activities to certain students, all within one platform. Interoperability and integrations ensure that the use of NAPLAN data becomes part of regular teaching practice, not an extra burden.

Similarly, integration with content providers is important. ACARA’s own platforms (like the Australian Curriculum website or the National Digital Learning Resources Network) could be linked so that relevant curriculum resources are surfaced. Partnerships with companies like Khan Academy or other online learning libraries could allow linking to their content as well. Perhaps ACARA/ESA might endorse a set of free, high-quality resources mapped to each NAPLAN area and make those the default recommendations.

Furthermore, the data flow should be two-way: as students use the recommended resources and perhaps do follow-up quizzes, that new data can feed back into their profile (creating a continuously updated picture of proficiency). Schools could also feed in teacher assessment data to supplement NAPLAN. For example, if a teacher gives a class test on grammar, those results can adjust the AI’s understanding of the student’s abilities (especially since NAPLAN is only once a year, adding more data keeps the profile current).

Real-Time and Continuous Feedback:

In the future, assessments and learning become a loop rather than separate cycles. We anticipate a model where micro-assessments are embedded in learning activities regularly, generating a stream of performance data. AI analyses this to give immediate feedback to the learner (“It looks like you have mastered solving equations with one variable, great job!”) and adjusts the next tasks. This is essentially formative assessment at scale. Teachers, in this future state, will have dashboards where they can monitor this ongoing assessment info for their class and intervene when needed (for example, if the AI reports that five students are struggling with a concept, the teacher can pull them into a small group for a guided lesson).

Predictive Analytics for Educational Planning:

With the accumulation of NAPLAN data over years, AI and machine learning (ML) can be employed to do predictive modeling. For instance, by Year 7, there might be patterns indicating a student’s likelihood of not meeting the minimum standard by Year 9, or conversely, their potential to excel. These predictions can trigger early interventions — “student X is at risk of not attaining proficiency in reading by Year 9, consider literacy support now.” Predictive analytics can operate at multiple levels: student, class, school, or system. At the system level, education departments could forecast, for example, how changes in curriculum might impact outcomes, or identify which schools will likely need extra support in upcoming years based on current Year 3 and 5 trends.

However, predictive models must be used carefully and ethically. They should inform support, not limit opportunities and avoid self-fulfilling prophecies or bias reinforcement. That’s why transparency and oversight are key — these models should augment educator judgment, not replace it.

Ethical and Equitable Personalisation:

In designing personalised learning integration, equity is a priority. All students should benefit from these innovations, not just those with tech access or savvy or well-off parents. Therefore, the recommended resources should whenever possible deliver free or or government-subsidised materials, and the platforms must be accessible on all devices and bandwidth situations (echoing the offline capability of NAPLAN Online). For students in remote or low-SES areas, the system might need to support print out materials or use whatever mode fits (maybe an offline app that syncs when possible). Additionally, we must be mindful of not narrowing a student’s experience: personalisation should not mean some students are forever given “lower level” content and denied exposure to richer, higher-order challenges. The system should include stretch goals for every student to ensure they can reach their potential.

Continuous Professional Development for Teachers:

For teachers to fully embrace and effectively use AI-driven personalised learning, they will need support and training. This means the future state vision includes robust change management: training programs, helpdesks, and exemplars of best practice in data-driven instruction. Teachers will need to learn how to interpret and action AI’s reports, how to integrate recommendations into lesson planning, and how to adjust or override them based on their professional insight (the teacher’s knowledge of a student might reveal, for example, a non-academic issue affecting performance which the AI can’t know). Professional development should frame AI as an assistant that frees up teacher time (by handling analysis and routine differentiation) so that teachers can focus on high-value activities like mentoring, feedback on open-ended work, and designing engaging learning experiences.

Interoperability and Scalability:

The vision is that every Australian student’s core skill development is tracked and supported by a unified system that ties together curriculum, assessment, and pedagogy. Interoperability standards (like common data standards for student results) will be crucial so that data flows between NAPLAN, school systems, and any third-party learning tools smoothly. Scalability has been proven by NAPLAN’s platform, but extending it to daily use by millions of students in their learning (not just testing) is a bigger scale yet. Likely, a distributed or cloud-based architecture (which it already is on Azure) can handle it with proper resource allocation.

Conclusion

The benefits of this integrated approach are enormous: students get timely support tailored to them, learning gaps are closed before they widen, and high achievers are continually challenged. Parents are engaged through concrete guidance on how to help their kids (rather than just being handed a score report). Teachers have actionable insights without spending countless hours crunching data themselves. And the system as a whole becomes more responsive — rather than waiting for annual test scores to signal problems, issues are caught and addressed in real time.

In essence, this future state dissolves the traditional barrier between assessment and instruction. Assessment becomes for learning, not just of learning, fulfilling a long-sought goal in education. It harnesses AI and data not to replace human educators, but to empower them and their students with knowledge of exactly where to focus efforts for the best educational outcomes.

Implementing this vision will requires significant resources: financial (for platform development, item development, teacher training, support staff), human (data scientists, AI specialists, psychometricians, content developers, trainers), and infrastructure (devices for students, internet connectivity). Governments will need to invest accordingly. However, some costs might be offset by efficiencies (e.g. automated marking saving labor costs, better targeting of teaching resources saving money in the long run) and by monetising the platform’s broader uses across different verticals and countries. In conclusion, while the transformation is ambitious, a phased roadmap with iterative implementation, stakeholder engagement, and risk mitigation can ensure that NAPLAN remains a robust, relevant, and positive force in Australian education. The end result will be an assessment system that not only measures educational outcomes but actively helps improve them, supporting every lifelong learner to reach their potential in the age of AI.

Sources


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