IndiLearn claims to be evidence-based. This article explains specifically which evidence, what the effect sizes are, and how each finding maps to a concrete design decision in our products. "Evidence-based" is too often a marketing phrase without substance. Here it has substance.
IndiLearn applies some of the most effective evidence-based pedagogical approaches available. Response to intervention has a Hattie effect size of 1.29. Teacher clarity has an effect size of 0.9. Feedback has an effect size of 0.7. The Science of Reading is the most replicated body of research in literacy education. Cognitive load theory shapes how our interfaces are designed. Each of these has decades of replication behind it. Each has direct, specific implications for how our tools are built.
The Science of Reading: why systematic phonics is settled
The Science of Reading is not a single study. It is a convergent body of research from cognitive psychology, linguistics, and neuroscience spanning more than 40 years, describing how children learn to read and what instruction approaches are most effective.
The Simple View of Reading (Gough and Tunmer, 1986) describes reading as the product of two essential skills: decoding (translating print to sound) and language comprehension. Both are necessary; neither is sufficient. A child who can decode but cannot comprehend the text is not reading. A child with strong language comprehension but weak decoding cannot access the text to comprehend it.
Scarborough's Reading Rope extends this model, illustrating the multiple strands — phonological awareness, phonics knowledge, sight recognition, vocabulary, background knowledge, and more — that are woven together in skilled reading. The rope metaphor is useful: each strand contributes, and weak strands compromise the whole.
The most effective approach to teaching decoding
Across dozens of controlled studies and national reviews — including Australia's 2005 National Inquiry into Teaching Literacy and the UK's Rose Review — systematic synthetic phonics consistently outperforms other approaches, particularly whole-language and mixed-method instruction. The evidence is not contested among reading researchers.
National Inquiry into Teaching Literacy, Australia (2005) · Rose Review, UK (2006) · AERO Introduction to the Science of Reading (2023)Queensland's Reading Commitment and what it means for schools
In 2023, the Queensland Department of Education backed its evidence-based reading instruction commitment with $35 million, a Year 1 Phonics Check, and a mandate for systematic synthetic phonics in Prep, Year 1, and Year 2. This aligns with Australian Curriculum v9.0, which was rolled out in Queensland schools from 2025.
The commitment includes strengthened checkpoints, teacher masterclasses, and a statewide approach to scope and sequence. Victoria made the same commitment simultaneously, mandating 25 minutes of daily systematic phonics instruction for Prep to Grade 2 from 2025.
IndiLearn's phonics reading app is built around the Queensland scope and sequence aligned with Australian Curriculum v9.0. The app's six-stage flow — Read letters, Write letters, Read words, Write words, Read sentences, Write sentences — maps directly to the phonics and word study strand of the curriculum. Teachers using the app are implementing the mandated sequence, not a proprietary one.
Hattie's feedback research: the most powerful tool in the room
John Hattie's Visible Learning research synthesised over 1,800 meta-analyses involving more than 300 million students to identify the influences on student achievement that matter most. The average effect size across all 320 influences is 0.40 — representing approximately one year of expected academic growth.
Quality descriptive feedback has an effect size of 0.7 — one of the largest of any pedagogical approach ever measured. When feedback is specific, timely, anchored to clear criteria, and acted upon by the student, the impact on learning is extraordinary. This is not a contested finding. It is one of the most replicated results in educational research.
The gap between what the research promises and what classrooms deliver is not a knowledge gap. Every teacher knows feedback matters. The gap is a logistics gap — and it has three specific causes:
1. It is nearly impossible to deliver individually. Providing specific, descriptive, rubric-grounded feedback to every student every day is not physically achievable for a teacher managing 25+ students. In practice, teachers prioritise maintaining a calm, functioning classroom over writing 25 individual feedback responses. The research says feedback is critical. The timetable says it isn't possible.
2. Students do not always apply it. Even when feedback is given, it is frequently not enacted. A student reads a next-step, nods, and writes the same thing again. Without a system that explicitly checks whether the previous feedback was acted on, the feedback loop is broken — and the effect size collapses.
3. Teacher capacity to analyse and determine next steps varies. Identifying exactly what a student needs to improve, and naming it in language the student can act on, is a high-skill professional task. There is genuine variance between teachers in their ability to do this consistently, at pace, across a full class. This is not a criticism — it is a structural reality that better tools can address.
IndiLearn's feedback platform is designed specifically to close all three gaps. The system generates first-draft individualised feedback for every student based on the teacher's own success criteria — making delivery at scale possible. It explicitly checks whether the previous next-step was acted on at resubmission — closing the enactment loop. And it anchors every piece of feedback to structured success criteria, reducing the variance in quality that comes from individual teacher analysis capacity.
Effect size for effective feedback (Hattie, 2009; 2016)
Nearly double the 0.40 hinge point. Hattie identifies the gap between this potential and what classrooms actually deliver as a logistics problem: teachers know feedback matters but cannot provide specific, rubric-grounded feedback to 25 students every lesson at human scale. IndiLearn closes that gap.
Hattie, J. Visible Learning (2009) · Hattie & Timperley, Review of Educational Research (2007) · NIH Meta-analysis: Power of Feedback Revisited (2020)Cognitive load theory: why simple interfaces matter
Cognitive load theory (Sweller, 1988) describes the limits of working memory and how instruction design either supports or overloads those limits. Three types of cognitive load interact:
- Intrinsic load — the inherent complexity of the material being learned. For a child learning /sh/, the intrinsic load is the phoneme itself.
- Germane load — the mental effort directed at learning and schema formation. This is the productive cognitive work.
- Extraneous load — effort required by the interface, task structure, or irrelevant information. This is waste. It consumes working memory without contributing to learning.
Good instructional design minimises extraneous load so working memory capacity is available for germane load — the actual learning. This has direct implications for how educational technology should be designed.
IndiLearn's phonics app shows one card at a time, one stimulus, one task. No competing visual elements, no navigation choices during the activity, no interface overhead. This is a direct implementation of cognitive load principles: reduce extraneous load to zero so the child's full working memory is available for the phonics task.
Response to intervention: effect size 1.29
Response to intervention (RTI) has one of the highest effect sizes in Hattie's entire Visible Learning analysis — 1.29, more than three times the average impact of any educational intervention. RTI is data-informed, tiered instruction that responds quickly to learning needs before gaps grow too large.
The core principle: regularly assess where students are, identify those not responding to standard instruction, and provide targeted support at the right level — before small difficulties become entrenched gaps. The earlier the response, the higher the effect.
Every IndiLearn tool is built around immediate feedback and real-time session data. Teachers see exactly which students are struggling with which phonemes or writing criteria after every session — not at the end of term. That data enables fast, targeted response. The phonics app flags struggle points within a session. The feedback platform surfaces the three most common lesson themes across the class — the teacher's signal for tomorrow's intervention. This is RTI made practical at classroom scale.
Teacher clarity: effect size 0.9
Teacher clarity has an effect size of 0.9 in Hattie's analysis. Hattie, drawing on the work of Fendick (1990), defines teacher clarity as covering "organisation, explanation, examples and guided practice, and assessment of student learning." One of the central arguments of Visible Learning is the importance of clearly communicating the intentions of lessons and the success criteria by which student work will be judged.
Teachers need to know the goals and success criteria of their lessons, know how well all students in their class are progressing, and know where to go next. These are the three conditions for teacher clarity — and they are all conditions that classroom scale makes difficult to maintain without support.
IndiLearn tools are explicitly designed around clear learning intentions and success criteria. In the feedback platform, the teacher defines the success criteria at the start of each unit — the system anchors every piece of feedback to those criteria. Students always know what they are being assessed against. The teacher dashboard shows how well all students are progressing against each criterion. And the lesson themes surface tell the teacher exactly where to go next. Teacher clarity, operationalised at scale.
Education Services Australia and the Literacy Hub
IndiLearn's evidence base draws on the curriculum and research frameworks established by Education Services Australia and the Literacy Hub, which consolidate the best available research on literacy instruction for Australian and international contexts. The phonics app's scope and sequence alignment and the feedback platform's rubric-grounded approach are both informed by these frameworks.
How IndiLearn implements all of this
Each product maps to the evidence in concrete, specific ways.
The phonics reading app implements systematic synthetic phonics in the sequence mandated by the Queensland Reading Commitment. It presents stimuli using the simple-view framework — decoding tasks (read letters, read words, read sentences) and encoding tasks (write letters, write words, write sentences). The interface is designed around cognitive load principles: one item, one task, one card. The session data feeds back into the next session's content generation, enabling responsive teaching at the individual child level.
The feedback platform implements Hattie's feedback research at classroom scale. Teachers define success criteria using their own rubric — anchoring feedback to the specific criteria Hattie identifies as essential. The system generates specific strengths and next-steps for each student's work. The enactment tracking — did the student act on the previous next-step? — addresses one of the most consistent gaps in educational feedback: knowing whether it was used. The teacher dashboard surfaces the three most common lesson themes, enabling responsive whole-class instruction.
Which specific study? What effect size? How does it translate to this product? IndiLearn can answer all three questions for every major design decision. If an edtech vendor claims to be "evidence-based" but cannot answer these questions specifically, treat the claim with appropriate scepticism.
Evidence that lands in the classroom.
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