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Record W2159034263 · doi:10.19030/jier.v9i4.8090

Students Motivations For Voluntary Remedial Learning In High School

2013· article· en· W2159034263 on OpenAlexaffabout
Daniel Pelletier, Isabelle Green‐Demers, Karine Lafleur

Bibliographic record

VenueJournal of International Education Research (JIER) · 2013
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsDeci-Remedial educationPsychologyAttendanceExploratory researchMathematics educationPerceptionTurnoverMedical educationPedagogySocial psychology

Abstract

fetched live from OpenAlex

Most high schools offer remedial learning sessions to their students; however, very little is known about the perception of these activities, especially with regards to the students motivations. In order to gain insights into both topics, an exploratory study was conducted within a sample of 1388 high school students in the Province of Quebec (Canada). Participants were selected on the basis of their voluntary participation or non-participation in remedial learning sessions held at school. School motivation was measured with a questionnaire based on Deci and Ryans SDT (Self Determination Theory); perceptions were gathered and measured with open-ended and multiple choice items. Quantitative results indicated that participants of remedial learning sessions were more strongly motivated towards school. No significant relationships were found between attendance and grades, with similar proportions of high, average and below average participating and non-participating students; however, among participants, girls outnumbered boys by 2:1. Two main categories emerged from qualitative analyses: remedial learning can be seen as: a) an instrumental support linked to the subject matter; or b) a relational support which fosters better 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.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.000

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 head0.060
GPT teacher head0.458
Teacher spread0.398 · 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.

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

Citations0
Published2013
Admission routes2
Has abstractyes

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