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Record W2965327037 · doi:10.1080/02783193.2019.1622165

High-Achieving Students’ Expectations About What Happens in Classroom Group Work: A Review of Contributing Research

2019· review· en· W2965327037 on OpenAlexfundno aff
Jessica M. Williams, Jade N. M. T. Cera Guy, Bruce M. Shore

Bibliographic record

VenueRoeper Review · 2019
Typereview
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
FundersGolden Key International Honour SocietyMcGill University
KeywordsPsychologyPreferenceGroup workContext (archaeology)Work (physics)Social psychologyTask (project management)Group (periodic table)Mathematics education

Abstract

fetched live from OpenAlex

High-achieving students’ work-alone preference has been shown to be largely false and to depend on the learning context. However, the literature has not distinguished preferences from expectations, nor directly examined what students expect will occur in classroom group work. An attempt to systematically review group-work expectations yielded just one relevant study from 768 initial sources. Instead, this generic (or critical) review gathered evidence primarily from the preferences literature indicating hypotheses about expectations. That literature suggested seven variables possibly related to high achievers’ group-work expectations: prior acceptance or rejection of their contributions in group work, choice with whom one works, having a supportive friend in the group, control over the group-work structure, fairness of work distribution, task difficulty, and parental opinions.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.268
GPT teacher head0.566
Teacher spread0.299 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2019
Admission routes1
Has abstractyes

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