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Procrastination and Motivation of Undergraduates with Learning Disabilities: A Mixed‐Methods Inquiry

2008· article· en· W2026497229 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLearning Disabilities Research and Practice · 2008
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsProcrastinationPsychologyLearning disabilitySet (abstract data type)MetacognitionSocial psychologySelf-efficacyQualitative researchDevelopmental psychologyClinical psychologyCognition

Abstract

fetched live from OpenAlex

The purpose of this mixed‐methods article was to report two studies exploring the relationships between academic procrastination and motivation in 208 undergraduates with ( n = 101) and without ( n = 107) learning disabilities (LD). In Study 1, the results from self‐report surveys found that individuals with LD reported significantly higher levels of procrastination, coupled with lower levels of metacognitive self‐regulation and self‐efficacy for self‐regulation than those without LD. Procrastination was most strongly (inversely) related to self‐efficacy for self‐regulation for both groups, and the set of motivation variables reliably predicted group membership with regard to LD status. In Study 2, individual interviews with 12 students with LD resulted in five themes: LD‐related problems, self‐beliefs and procrastination, outcomes of procrastination, antecedents of procrastination, and support systems. The article concludes with an integration of quantitative and qualitative results, with attention paid to implications for service providers working with undergraduates with LD.

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)0.004
metaresearch head score (Gemma)0.070
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.070
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
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 head0.169
GPT teacher head0.468
Teacher spread0.300 · 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