Discussion Group Effectiveness is Related to Critical Thinking through Interest and Engagement
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.
Bibliographic record
Abstract
Higher student enrolment at North American tertiary institutions over the last decade has led to a greater reliance on lecturing in large classes (i.e., 50 students or more). The efficiency of lecturing as a method of instruction can sometimes come at the cost of student interaction, engagement, critical thinking and satisfaction. Implementing discussion groups in large lecture classes is one technique that can reverse these costs, however it is not clear what it is about discussion groups that promotes these outcomes. Drawing on social identity theory (Tajfel, 1981), the present study examined the roles of two discussion group characteristics: identification and effectiveness, in predicting course interest and engagement, critical thinking and application, and course satisfaction among psychology students assigned to discussion groups in a large class ( N = 81) over a 12-week period. Findings indicated that discussion group effectiveness, but not discussion group identification, predicted course interest and engagement, critical thinking and application, and course satisfaction. Importantly, the relationships between discussion group effectiveness and critical thinking and application, and discussion group effectiveness and course satisfaction were mediated by course interest and engagement. When discussion groups help students to understand and engage with new ideas and information, this can promote the interest and engagement that can promote positive outcomes. The implications of these findings are discussed.
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 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 | 0.020 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it