Why Tangibility Matters
Bibliographic record
Abstract
Tangibles may be effective for reading applications. Letters can be represented as 3D physical objects. Words are spatially organized collections of letters. We explore how tangibility impacts reading and spelling acquisition for young Anglophone children who have dyslexia. We describe our theory-based design rationale and present a mixed-methods case study of eight children using our PhonoBlocks system. All children made significant gains in reading and spelling on trained and untrained (new) words, and could apply all spelling rules a month later. We discuss the design features of our system that contributed to effective learning processes, resulting in successful learning outcomes: dynamic colour cues embedded in 3D letters, which can draw attention to how letter(s) position changes their sounds; and the form of 3D tangible letters, which can enforce correct letter orientation and enable epistemic strategies in letter organization that simplify spelling tasks. We conclude with design guidelines for tangible reading systems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".