Research idea
Learners benefit when reasoning and feedback are made visible.
RESEARCH & EVIDENCE
This library connects WHYLO’s design to peer-reviewed research, evidence-informed guidance, and official curriculum frameworks. It also states what each source does not prove.
HOW TO READ THIS PAGE
These sources support individual design principles. They do not by themselves prove that WHYLO improves learning outcomes. Product-specific effectiveness requires transparent evaluation using defined outcomes, appropriate comparison, and enough time.
EVIDENCE-INFORMED METHOD
WHYLO uses brief prompts such as “How do you know?” and “Can you show it another way?” so learners explain a method and its reason in their own words.
Self-explanation studies use particular ages, subjects, and tasks. They do not show that the same prompt has an identical effect for every WHYLO learner or mathematics topic.
EVIDENCE-INFORMED METHOD
WHYLO combines learner choice in AI manipulatives, a clear goal, small prompts when needed, and a gradual move from objects to diagrams, speech, and equations.
Manipulatives or additional representations do not improve learning automatically. Goals, interface constraints, sequence, and guidance matter, and guided play has not shown a universal advantage over direct instruction.
EVIDENCE-INFORMED METHOD
WHYLO revisits a principle in the same lesson, the next lesson, around one week, and two to three weeks later while changing numbers, context, or representation and mixing related strategies.
Useful spacing depends on the goal, retention period, and learner response. Verbal and pictorial memory studies are not direct evidence for young children's mathematical concept learning.
EVIDENCE-INFORMED METHOD
WHYLO uses one question at a time, a small hint, a representation change, and observable evidence that informs the next prompt and lesson.
Broad classroom evidence does not guarantee that every AI tutor is effective. WHYLO must not diagnose ability, attention, or intention that was not observed.
EVIDENCE-INFORMED METHOD
WHYLO first asks for a prediction without the manipulative, changes one condition, applies the idea in a practical context, and asks for another representation.
Mathematical-proficiency frameworks, curricula, and international assessments guide design; they do not evaluate WHYLO's own effect on transfer.
SOURCE LIBRARY
Every full source record appears once. Method sections link here instead of duplicating a claim.
Mathematical proficiency is described as five interwoven strands: conceptual understanding, procedural fluency, strategic competence, adaptive reasoning, and productive disposition.
WHYLO keeps understanding, strategy, reasoning, and disposition visible rather than collapsing them into one accuracy or speed score.
The five strands are a design framework; the report does not evaluate WHYLO itself.
This influential review brought together classroom formative-assessment evidence and described how strengthening feedback during learning can support improvement.
WHYLO uses evidence from the current response to shape the next prompt instead of waiting until the end to return only a score.
It synthesises varied classroom studies and does not guarantee an identical effect in every digital setting.
This classic study found that learners who generated more self-explanations while studying worked examples built stronger problem-solving knowledge.
WHYLO uses prompts such as ‘How do you know?’ and ‘Can you show it another way?’ to make reasoning explicit.
The study used a specific worked-example setting and should not be treated as direct proof across every age and maths topic.
The curriculum effective from 2026 combines conceptual and procedural knowledge and highlights abstraction, visualisation, and symbolic representation across quantity, space, data, and uncertainty.
WHYLO lessons move between objects, drawings, tables, equations, and graphs while connecting concepts and procedures to real situations.
WHYLO does not replace the school curriculum or an educator’s responsibility for sequence and assessment.
Mathematical literacy is framed as reasoning mathematically and formulating, employing, and interpreting mathematics across real-world contexts.
WHYLO stages 3–5 use recipes, mobile plans, café revenue, and statistical claims to practise modelling and interpretation.
PISA is an international population-level assessment of 15-year-olds, not a complete curriculum or individual diagnosis.
The guidance emphasises understanding how pupils learn mathematics and where difficulties arise, with purposeful support for representation, problem solving, and metacognition.
WHYLO hints make a task smaller, shift representation, and prompt checking instead of supplying the final answer.
The guidance was written for UK school stages and must be adapted thoughtfully for New Zealand and individual learners.
Multiple representations can complement information, constrain misinterpretation, and support deeper understanding, while also creating cognitive work when learners translate between them.
WHYLO asks learners to connect representations—for example, what stays the same between a diagram and an equation—rather than merely displaying more formats.
More representations do not automatically improve learning; their sequence and guidance matter.
UNESCO calls for human-centred, age-appropriate use of generative AI with privacy protection and ethical and pedagogical validation.
WHYLO bounds the AI away from diagnosis and permanent ranking, focusing it on one brief follow-up and observable learning evidence.
The guidance sets a direction; real operation still requires privacy policy, security review, and age-appropriate safeguards.
A synthesis of 66 reports found a moderate average effect across available comparisons and identified affordances such as focused constraints, varied solutions, and linked representations.
WHYLO uses open manipulation with purposeful constraints and connects actions to diagrams and equations.
Effects varied by age, domain, and comparison condition; this review did not evaluate WHYLO or its AI tools.
In a mathematical-equivalence study, moving from concrete materials towards abstract symbols supported transfer better than the reverse order.
WHYLO moves from objects to dots, groups, and equations while asking what stays the same.
The study used a specific equivalence task and does not establish one universal sequence for every concept or age.
A review of studies with children aged one to eight found some advantages over free play, while comparisons with direct instruction did not show a clear overall advantage.
WHYLO combines learner choice, a clear learning goal, and small prompts when needed.
Results were heterogeneous and mixed; guided exploration should not be claimed as universally superior to direct instruction.
A synthesis of 317 experiments found an advantage for distributed over massed practice and showed that useful spacing depends on the desired retention interval.
WHYLO adjusts the next principle revisit using independent success, explanation, and support used rather than a universal calendar.
The synthesis focused largely on verbal memory tasks and is not direct evidence for young children's mathematical concept learning.
Experiments found better delayed performance when mathematics practice was spaced and mixed rather than completed in one block.
WHYLO changes surface conditions and asks learners to retrieve the same principle instead of cloning an item.
The experiments used university students and limited topics, so they are not direct evidence for WHYLO lessons with five- to seven-year-olds.
In a Grade 7 classroom study, interleaved practice produced higher scores than blocked practice on an unannounced test two weeks later.
WHYLO mixes related principles so learners must select a strategy from the problem rather than the worksheet heading.
The study covered one grade and selected problem types and should not be generalised to every age or mathematics domain.
A study of 104 six- and seven-year-olds tested picture memory after five minutes, one week, and one month and found longer-term benefits in some retrieval conditions.
WHYLO uses short, age-appropriate retrieval through speech, pictures, and objects with feedback when needed.
This was a picture-recognition study; it did not test mathematical principles or WHYLO's scheduling rules.
FROM EVIDENCE TO PRODUCT
Learners benefit when reasoning and feedback are made visible.
Ask for one explanation; record observable evidence; adapt only the next step.
Offer speech, drawing, objects, equations, and a small hint without ranking the learner.
Do learners explain more independently and transfer the idea to a new context over time?
HOW WHYLO WILL TEST IT
WHYLO is currently at the stage of connecting design rules to external evidence. Product-specific claims require separate evaluation.
Baseline-to-change evidence for independent explanation, recorded support used, linked representations, delayed unaided recall after time without help, and transfer in a new context.
A starting check, immediate check, delayed check, an appropriate comparison, and enough time.
Report unclear, neutral, and unexpected findings as well as positive ones.
SEE IT IN PRACTICE