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Record W4390233394 · doi:10.5539/jedp.v14n1p70

The Interplay Between Students’ Learning-Related Beliefs, Reading Comprehension Strategies and Academic Success

2023· article· en· W4390233394 on OpenAlexvenueno aff
Ita Puusepp, Kati Aus, Eliis Härma, Eve Kikas

Bibliographic record

VenueJournal of Educational and Developmental Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicEducational Strategies and Epistemologies
Canadian institutionsnot available
Fundersnot available
KeywordsReading comprehensionPsychologyComprehensionReading (process)Mathematics education

Abstract

fetched live from OpenAlex

The present study explored the combined effects of students’ learning-related beliefs as well as use of reading comprehension strategies on academic success—academic outcomes and exhaustion. In total, 1165 eighth grade students’ beliefs, use of reading comprehension strategies and reading comprehension were assessed at the beginning of the school year. Half a year later 296 students from the sample reported their academic exhaustion and grades from the previous semester. Students’ learning-related beliefs and use of deep reading comprehension strategies were associated with their academic outcomes and exhaustion. More specifically, believing in quick and effortless learning was associated with the use of a smaller variety of deep reading comprehension strategies and lower academic outcomes. Additionally, students’ motivational beliefs about effective learning were mainly indirectly through strategy use linked to their academic outcomes, while having direct effects on academic exhaustion. These results refer to the importance of addressing learning-related beliefs in addition to strategy instruction.

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.

How this classification was reachedexpand

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.057
GPT teacher head0.439
Teacher spread0.382 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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