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Record W1969389648 · doi:10.3200/socp.144.6.591-612

The Role of Attributional Retraining and Elaborative Learning in College Students' Academic Development

2004· article· en· W1969389648 on OpenAlex
Nathan C. Hall, Steven Hladkyj, Raymond P. Perry, Joelle C. Ruthig

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

VenueThe Journal of Social Psychology · 2004
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsRetrainingPsychologyAptitudePerceptionAcademic achievementAttributionDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

In the present longitudinal study, the authors examined the impact of attributional retraining (AR) techniques on academic motivation and achievement for college students who are either frequently or infrequently using elaborative learning strategies. During the 1st semester, 203 students completed an initial questionnaire assessing elaborative learning followed by 1 of 3 treatment conditions (No AR, Writing AR, Aptitude Test AR). Results indicated improvements in students' end-of-year perceptions of control, success, and emotions, as well as course-specific and overall academic performance for those receiving either AR format, with "high elaborators" showing higher levels on these measures than "low elaborators." The authors discussed the importance of elaborative and attributional processes underlying the effectiveness of the AR treatment and the potential utility of individualized AR techniques in the college classroom.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.635
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.058
GPT teacher head0.474
Teacher spread0.416 · 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