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Record W1950528826 · doi:10.1177/073194871003300102

Confidence to Manage Learning: The Self-Efficacy for Self-Regulated Learning of Early Adolescents with Learning Disabilities

2010· article· en· W1950528826 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

VenueLearning Disability Quarterly · 2010
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologySelf-efficacyLearning disabilityReading (process)Developmental psychologyMultilevel modelClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

This study examined the self-efficacy for self-regulated learning of 146 early adolescents with and without learning disabilities (LD). Results from the study showed that a 7-item self-regulatory efficacy measure demonstrated factorial invariance for the adolescent sample and also for a validation sample of 208 undergraduates with and without LD. Adolescents with LD rated their self-regulatory efficacy and reading self-efficacy lower than their NLD peers. Hierarchical multiple regression showed that self-regulatory efficacy made a significant contribution to end-of-term English grade after controlling for sex, SES, reading self-efficacy, and reading score. Finally, students with LD who scored low on self-regulatory efficacy were significantly more likely than their higher-scoring LD peers to have a low end-of-term English grade, although there was no difference on a reading performance score. Several suggestions for teachers working with adolescents with LD are provided, along with directions for future research.

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)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.007
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 head0.020
GPT teacher head0.331
Teacher spread0.311 · 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