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Record W2995558725 · doi:10.1080/00220973.2019.1703095

Brief Research Report: Sense of Belonging and Academic Help-Seeking as Self-Regulated Learning

2019· article· en· W2995558725 on OpenAlex
Sungjun Won, Lauren Hensley, Christopher A. Wolters

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 Experimental Education · 2019
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsHelp-seekingPsychologySelf-efficacyStructural equation modelingSocial psychologyValue (mathematics)PerceptionSelf-regulated learningPsychology of selfMathematics educationComputer scienceMental health

Abstract

fetched live from OpenAlex

Academic help-seeking is a self-regulatory strategy that can have an important influence on students’ learning and achievement. The primary goal of the present study was to investigate whether college students’ sense of belonging could be used to understand their academic help-seeking. In addition, two aspects of motivation, self-efficacy for self-regulated learning and utility value, were examined as predictors of adaptive and expedient help-seeking strategies within an integrative model. College students (N = 307) completed two online self-report surveys that assessed sense of belonging, motivation, and help-seeking. Results of structural equation modeling showed that sense of belonging significantly predicted reported use of adaptive help-seeking strategies, even when accounting for students’ motivation. Self-efficacy for self-regulated learning also positively predicted adaptive help-seeking strategies, whereas utility value negatively predicted expedient help-seeking strategies. Findings support the conclusion that college students’ perceptions of their social contexts inform if and how they seek help with their learning.

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)0.003
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.067
GPT teacher head0.496
Teacher spread0.429 · 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