To Like or Not to Like! Student Perceptions of Technological Activities for Learning French as a Second Language at Five Canadian Universities
Bibliographic record
Abstract
This article examines student attitudes towards and perceptions of technological activities in the language classroom. Data collected from students (n = 71) in the French language departments of five Canadian universities were used to examine which technological activities students preferred, whether and to what degree different activities were judged useful, and how frequently students perceived that they were doing these activities. Four trends emerged. First, students find computer-assisted activities useful. Second, students prefer activities that are less mediated, more based on authentic materials and more like activities they do in everyday life, to didactic activities. Third, students tend to prefer and judge more useful the computer-assisted activities done individually rather than collaborative activities. Finally, it seems that traditional types of computer-assisted activities such as listening, grammar, and vocabulary exercises are more appreciated and judged more useful than are newer types of activities such as blogs and WebQuests. Concluding remarks offer pedagogical suggestions based on these findings.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".