Multimedia Instruction & Language Learning Attitudes: A Study with University Students
Bibliographic record
Abstract
This study examined the effects of two types of Multimedia Instruction (MI) and learners’ second language (L2) proficiency on language learning attitudes. During four weeks, university learners of French received MI on the distinctive use of the perfective and the imperfective past in one of the four following conditions: learners with low L2 proficiency level exposed to MI with (n=17) or without language awareness tasks (n=17), and learners with intermediate L2 proficiency level exposed to MI with (n=14) or without language awareness tasks (n=28). Before and after the experiment, participants completed the Attitude/Motivation Test Battery (AMTB). Non-parametric analyses revealed a positive enhancement of classroom-related attitudes only among intermediate learners exposed to MI without Language Awareness Tasks. Nevertheless, the results showed similar as well as stable attitudes towards language learning in all the experimental conditions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".