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Record W2589731416 · doi:10.1080/09639284.2017.1292465

Impact of group exams in a graduate intermediate accounting class

2017· article· en· W2589731416 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

VenueAccounting Education · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting Education and Careers
Canadian institutionsBrock University
Fundersnot available
KeywordsTeamworkPsychologyVariety (cybernetics)Class (philosophy)Cooperative learningMathematics educationAccountingGraduate studentsManagement accountingMedical educationTeaching methodPedagogyComputer scienceStatisticsManagementBusinessEconomicsMedicineMathematics

Abstract

fetched live from OpenAlex

Cooperative learning techniques have been found to be quite successful in a variety of learning environments. However, in university-level accounting courses, investigations of the efficacy of cooperative learning pedagogical methods have produced mixed results at best. To continue the search for a cooperative learning method that is effective in accounting education, this study examines the use of group exams in a graduate intermediate accounting class. We provide evidence of a number of positive effects. Average scores on group exams were consistently higher than average scores on exams taken in individual format. Students adapted to the new assessment format rapidly and effectively. Further, students found the experience positive and believed they had improved important skills such as communication, time management, and teamwork. While some evidence of a free-rider effect and negative behavior associated with it was found in the beginning, this behavior was apparently temporary.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.004
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 head0.032
GPT teacher head0.312
Teacher spread0.280 · 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