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Record W2534538102 · doi:10.1080/08832323.2016.1237933

What do students think about group work in business education? An investigation into the benefits, challenges, and student-suggested solutions

2016· article· en· W2534538102 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 Education for Business · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsGroup workFocus groupClass (philosophy)Perspective (graphical)Strengths and weaknessesWork (physics)CategorizationGroup (periodic table)Small group learningPsychologyMathematics educationMedical educationPedagogyComputer scienceSociologyEngineeringMedicineSocial psychology

Abstract

fetched live from OpenAlex

The authors sought to gain insight on how students view group learning and development as part of their business education experience. Specifically, the authors categorize benefits and challenges using S. A. Wheelan's (2005 Wheelan, S. A. (2005). The handbook of group research and practice. Thousand Oaks, CA: Sage.[Crossref] , [Google Scholar]) integrated model of group development. Additionally, they investigate (from the students' perspective) best practices that instructors can implement to improve students' group work experience. As group work is critical in business classrooms, the authors suggest instructors should focus more on the earlier stages of group development by assigning groups based on students' strengths and weaknesses, offering a better introduction to groups, and assigning more group-related time or meetings during class.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.006
Open science0.0010.000
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 head0.029
GPT teacher head0.292
Teacher spread0.263 · 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