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Record W3121987034 · doi:10.2308/iace.2007.22.3.391

Investigating the Effects of Group Response Systems on Student Satisfaction, Learning, and Engagement in Accounting Education

2007· article· en· W3121987034 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

VenueIssues in Accounting Education · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsUniversity of WaterlooUniversity of Lethbridge
Fundersnot available
KeywordsVendorAffect (linguistics)Student engagementPsychologyHigher educationMedical educationAccountingBusinessMathematics educationMarketingPolitical scienceMedicine

Abstract

fetched live from OpenAlex

We examine group response systems (GRS) as an educational tool. We use an experimental approach and student survey data to assess vendors' claims that GRS improve student engagement and feedback, and thus improve learning. A key part of our design involves controlling for effects of moving to a more interactive pedagogy that have been found to affect learning. For a management accounting course, we find only limited GRS learning effects, as proxied by exam performance. Contrary to our expectations, we find a decline in engagement, as proxied by student oral participation, when GRS are used. We also find little evidence that GRS lead to greater student satisfaction with the course. We do find support for student satisfaction with GRS, from which we infer that implementation problems are not driving our results. In summary, we find little support for vendor claims, when controlling for changes in pedagogy.

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)0.028
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.431
Teacher spread0.408 · 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