How Do Different Forms of Note‐Taking Affect Second Language Vocabulary Learning?
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The present study compared learning gains at both form recall and meaning recall levels across three learning conditions: viewing without note‐taking, viewing with conventional note‐taking, and viewing with guided note‐taking. A total of 134 Chinese learners of English were assigned to three experimental groups and a no‐treatment control group. Results showed that (a) guided note‐taking contributed to greater vocabulary learning than conventional note‐taking on the form recall test, (b) both guided and conventional note‐taking contributed to significant vocabulary gains on the meaning recall test, and (c) viewing without note‐taking did not contribute to significant learning gains. The analyses also revealed that writing unknown words in notes, the inclusion of target words in the lecture slides, and learners’ prior vocabulary knowledge affected learning, but frequency of occurrence, word length, and learners’ level of viewing comprehension did not.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 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