MétaCan
Menu
Back to cohort
Record W4406928182 · doi:10.1080/15391523.2025.2459130

Altering the playback speed of recorded lectures as a learning technique: Examining student practices, motivations, and beliefs

2025· article· en· W4406928182 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Research on Technology in Education · 2025
Typearticle
Languageen
FieldPsychology
TopicVisual and Cognitive Learning Processes
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsComputer scienceMathematics educationEducational technologyPsychologyMultimediaPedagogy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.094
GPT teacher head0.543
Teacher spread0.449 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it