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An Exploratory Longitudinal Analysis of GSS Use in the Case Method Classroom

2002· article· en· W2930344778 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 · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsQueen's UniversityWestern UniversitySimon Fraser University
Fundersnot available
KeywordsExploratory analysisExploratory researchCore (optical fiber)Computer scienceTerm (time)PsychologyKnowledge managementMathematics educationData scienceSociology

Abstract

fetched live from OpenAlex

This exploratory study reports on term-long use of a discussion-based GSS by 137 undergraduate business students in a case-based core MIS course. We develop a model of student participation in case-based learning environments and examine the role and impact of technology on participation. Overall participation increased dramatically as students became more comfortable and adept with the technology. The GSS appeared to provide marginalized students with a “voice” in the classroom, and allowed prolific participators an additional outlet. However, we observed some potentially negative consequences, such as a decline in the proportion of messages containing novel ideas, examples, information requests, and references, and some students expressed difficulty with multitasking – simultaneously typing and listening. As a result, we advocate further exploration of this technology in the classroom and suggest that its use be more structured, dividing class time into “technology” (GSS only) and “human” moments (oral discussion).

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)0.006
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.595
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.008
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 head0.086
GPT teacher head0.365
Teacher spread0.278 · 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