Peer Lecturing as Project-Based Learning: Blending Socio-Affective Influences with Self-Regulated Learning
Bibliographic record
Abstract
As a contribution to the efforts to understand the influence of peer presence on self-regulated learning, this paper studies students’ reaction to a project-based activity, the final product of which was a scientific communication to peers. In this activity, peer lecturing, the students formulate a question on a topic linked to the course, search scientific information in order to answer the question, and teach the result of their investigations to their class in the form of a whole-class communication. The paper draws on the qualitative analysis of 23 interviews of first-year student teachers involved in peer lecturing in the framework of an introductory zoology course. In this study, the expressed gains in self-regulated learning described by the students are compared to the gains reported in the literature in other project-based methods and in peer teaching. Original gains in motivation (social goals), cognitive processes and self-regulation, are highlighted, while stressing differences between student types. Further development of the method is suggested.
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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 | 0.002 | 0.010 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".