Altering the playback speed of recorded lectures as a learning technique: Examining student practices, motivations, and beliefs
Bibliographic record
Abstract
Recorded lectures have become a fixture in education. When viewing recorded lectures individuals can often alter the playback speed. Recent research suggests that this is a common technique and has begun to systematically examine its impact on learning and learning related variables. However, we lack a deep understanding of how and why individuals use this learning technique. Here we utilized surveys to examine, across two large samples (total n = 439), student’s use of both increasing and decreasing the playback speed of lectures. We focus on providing insight into individual’s motivations for using this technique, how it influences other learning related behaviors, and individual’s metacognitive and meta-affective beliefs about how the technique impacts them. Results suggest that altering playback speed is a common technique that is believed by learners to have both practical (e.g. time savings), cognitive (e.g. enhancing learning and attention), and affective (e.g. increasing enjoyment) benefits for learners.
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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 | 0.004 | 0.017 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".