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Record W3215865284 · doi:10.20429/ijsotl.2021.150205

Effectiveness of Group Work Contracts to Facilitate Collaborative Group Learning and Reduce Anxiety in Traditional Face-to-Face Lecture and Online Distance Education Course Formats

2021· article· en· W3215865284 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal for the Scholarship of Teaching and Learning · 2021
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaDirectorate for Biological SciencesUniversity of Guelph
KeywordsDysfunctional familyGroup workAnxietyMedical educationWork (physics)PsychologyFace-to-faceSocial mediaProcess (computing)Computer scienceMathematics educationEngineeringMedicineWorld Wide Web

Abstract

fetched live from OpenAlex

Group work (GW) in undergraduate education facilitates the development of communication and collaborative skills. However, dysfunctional and inequitable group dynamics can have adverse effects, leading to increased anxiety. This research sought to determine the effectiveness of a Group Work Contract to facilitate the GW process in the face-to-face (n=168) and online (n=105) formats of a third year nutritional science course. Changes in students’ attitudes and approaches to GW were assessed before (semester week 4) and after (semester week 12) completion of the contract and assignment via online surveys. The results in both course formats were similar, wherein the Group Work Contract reduced student anxiety and improved group dynamics and communication between group members, resulting in an improved learning experience overall . Further, the preferred methods of GW online communication utilized social networking platforms. This data demonstrates the benefits of formally structuring the GW process to optimize the student learning experience.

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)0.009
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.722
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.048
GPT teacher head0.396
Teacher spread0.348 · 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