Collaborative Learning in an Online Course: A Comparison of Communication Patterns in Small and Large Group Activities
Bibliographic record
Abstract
This article reports on the investigation of collaborative learning processes in an online course that examined students' communication during whole-group discussions and small-group activities. Content analysis and social network analysis methods were employed to code and categorize text messages to uncover students’ communication behaviour. The results show that individuals’ participation patterns were similar during the two different settings, but some inactive students during whole-group discussions were more active in small-groups. The social-out (sent-out messages) during whole-group discussions was a significant variable associated with cognitive contributions in whole-group as well as social and managerial contributions in small-group activities. It also identified three indexes, i.e., quantity, equality, shareness, that can be used as quantitative measures for evaluating small group collaboration. Resume Cet article rapporte une enquete sur les processus d’apprentissage cooperatif dans le cadre d’un cours dispense en ligne qui s’est penche sur la communication entre etudiants lors de discussions entre l’ensemble du groupe et lors d’activites pour groupes restreints. Des methodes d’analyse du contenu et d’analyse des reseaux sociaux ont ete employees pour codifier et categoriser les messages texte afin de decouvrir le comportement communicationnel des etudiants. Les resultats demontrent que les modeles de participation des individus etaient semblables dans les deux contextes, mais que certains etudiants inactifs lors des discussions en groupe elargi etaient plus actifs dans le cadre des groupes restreints. Le transmis social (messages envoyes) pendant les discussions en groupe elargi etait une variable significative associee aux contributions cognitives dans le groupe elargi de meme qu’aux contributions sociales et de gestion dans les activites tenues en groupes restreints. Il a aussi identifie trois index, c’est-a-dire, la quantite, l’egalite et le degre de partage, qui peuvent etre utilises en tant qu’indicateurs quantitatifs pour evaluer les collaborations en groupes restreints.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".