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Record W4220939936 · doi:10.1177/00332941221077026

The Mediating Effects of Psychological Capital and Academic Self-Efficacy on Learning Outcomes of College Freshmen

2022· article· en· W4220939936 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.

Bibliographic record

VenuePsychological Reports · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyStructural equation modelingSelf-efficacyBootstrapping (finance)Academic achievementExperiential learningSocial psychologyApplied psychologyMathematics educationDevelopmental psychology

Abstract

fetched live from OpenAlex

This study was an investigation of the relationship between past and present learning experiences of first-year college students and of how the psychological capital and academic self-efficacy they had accrued from past learning experiences were correlated with their current learning engagement. Longitudinal data were collected to examine how students' learning experiences in high school impacted their learning in college. Structural equation modeling (SEM) and bootstrapping techniques were employed in data analysis. Results indicated that psychological capital and academic self-efficacy functioned as mediators between students' past learning experience and present learning engagement. Overall, the findings highlight the importance of these two psychological constructs and suggest that postsecondary institutions should provide learning environments that support these factors to ensure student success.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.041
GPT teacher head0.449
Teacher spread0.408 · 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