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Record W2401600534 · doi:10.19173/irrodl.v17i3.2179

Enhancing Student-Student Online Interaction: Exploring the Study Buddy Peer Review Activity

2016· article· en· W2401600534 on OpenAlexaffvenue
Colin Madland, Griff Richards

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsAthabasca UniversityThompson Rivers University
Fundersnot available
KeywordsPsychologyPerceptionQualitative researchComputer-mediated communicationCollaborative learningComputer-supported collaborative learningMathematics educationPedagogyComputer scienceWorld Wide WebThe InternetSociology

Abstract

fetched live from OpenAlex

<p>The study buddy is a learning strategy employed in a graduate distance course to promote informal peer reviewing of assignments before submission. This strategy promotes student-student interaction and helps break the social isolation of distance learning. Given the concern by Arum and Roksa (2011) that student-student interaction may be distracting from instead of contributing to academic achievement it was felt important to examine the way peer interaction can contribute to learning in a well-structured collaborative learning activity. This mixed-methods study (n=31) examined both quantitative and qualitative aspects of student perceptions of the study buddy activity. While quantitative findings regarding depth of processing were inconclusive due to the small and homogeneous sample, qualitative analysis showed very high levels of learner support for the activity as well as evidence that the activity encouraged learners to approach their learning with greater depth. 88% of study buddies said they found the activity well worth their time, and would recommend it for other graduate courses. It is thought with greater scaffolding, the quality of buddy feedback might be improved. The few who did not appreciate the activity felt let down by a lack of buddy commitment to the process.</p>

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.023
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.001
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 head0.215
GPT teacher head0.545
Teacher spread0.330 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations41
Published2016
Admission routes2
Has abstractyes

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