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Collaborative Team Learning in Information Systems: A Pedagogy for Developing Team Skills and High Performance

2001· article· en· W2594002882 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.

Bibliographic record

VenueJournal of Computer Information Systems · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsWestern University
Fundersnot available
KeywordsTeam learningTeam effectivenessKnowledge managementTeamworkPsychological safetyInterpersonal communicationTeam-based learningPsychologyTeam compositionSocial skillsTeam managementSkills managementCooperative learningMedical educationComputer scienceTeaching methodPedagogyManagementSocial psychology

Abstract

fetched live from OpenAlex

Business schools must learn how to deliver graduates who are capable team players, particularly in the field of information systems where IS personnel are frequently cited as lacking in interpersonal and teams skills, and where information technology work is increasingly structured around team-based projects. We report here on the effectiveness of a collaborative pedagogical approach called team learning, which was used in a database management systems course. The team learning methodology requires students and their teammates to bear sole responsibility for learning in teams, with the professor acting as a “Guide on the Side” (16). Using an experimental design, this study demonstrates that teams consistently outperformed individuals, which critical team skills improved over time, and that important team skills were positively associated with team performance.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.007
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.291
Teacher spread0.277 · 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