An Exploration of Multimedia Supports for Diverse Learners During Core Math Instruction
Why this work is in the frame
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Bibliographic record
Abstract
In the present study, mobile technology was leveraged as a learning tool for core math instruction during a whole number multiplication and division unit. The researchers redesigned paper–pencil worksheets from the math curriculum into multimedia-enhanced, interactive math practice (the eWorkbook) accessed by students on an iPad. With this eWorkbook, which was conceptualized within a Universal Design for Learning framework, we aimed to reduce barriers and capitalize on strengths by embedding flexible scaffolds/supports, allowing for student choice, and incorporating evidence-based teaching practices. Results of this case study suggest students with and without learning disabilities can leverage multimedia to foster unique opportunities for the understanding and expression of mathematical knowledge. Additional affordances of the eWorkbook include extending the reach of teacher support while encouraging self-support. Implications for teachers and researchers are discussed.
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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 | 0.001 | 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 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it