Which modality results in superior recall for students: Handwriting, typing, or drawing?
Bibliographic record
Abstract
One of the most common interests among cognitive psychologists is establishing ways to enhance human learning. An additional layer of complexity has been brought on by the rapid evolution of technology. Specifically, examining if the mechanisms involved in typing differ from those involved in handwriting. The literature concerning the implications of encoding modality on memory have been inconclusive. This present research examined whether encoding modality resulted in performance differences for word recall. Wammes et al.’s (2016) drawing versus handwriting methodology was utilized with the addition of a typing condition. The results replicated the drawing effect, whereby drawn words were better recalled than handwritten ones. Overall, the evidence did not suggest that the mechanisms involved in handwriting led to better free recall than those involved in typing. However, if the pen is indeed mightier than the keyboard (Mueller & Oppenheimer, 2014), then the effect is not explained by visual attention or sensorimotor action differences between modalities. Implications for education are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".