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Psychosocial Classroom Environment and Academic Efficacy in Canadian High School Mathematics Classes

2001· article· en· W188142966 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.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAlberta Journal of Educational Research · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialSelf-efficacyPsychologyContext (archaeology)Learning environmentPerspective (graphical)PerceptionMathematics educationClassroom climateSample (material)Social psychology

Abstract

fetched live from OpenAlex

During the past three decades, independent research has been conducted in the fields of classroom psychosocial environment and academic self-efficacy.Both classroom environment and academic efficacy have been associated with cognitive and affective student outcomes (Bandura, 1997; Fraser, 1998a).However, as noted by Lorsbach and Jinks (1999), no research has investigated the possible link between psychosocial learning environments and student academic selfefficacy.This research note reports the results of a preliminary Canadian study of students' perceptions of classroom environment and academic efficacy that serves as a pilot for a wider cross-national investigation of the same issue.Whereas classroom environment research focuses on the atmosphere, tone, or ambience of classrooms, usually from the students' perspective, academic efficacy research draws attention to the importance of fostering self-belief and self-regulatory capabilities in students (Pajares & Kranzler, 1995;Zimmerman, 1995).Although not explicitly recognized by efficacy theorists, some of these efficacy sources can be attributed hypothetically to the psychosocial learning environment that students experience in their schools and classrooms.It is plausible that learning environment contributes to academic efficacy.The present study makes two distinctive contributions to the field of learning environments.It was the first study to investigate the relationship between classroom environment and academic efficacy with a sample of Canadian high school mathematics students.In addition, by using scales from two well-established classroom environment instruments, it was possible to establish unique and joint contributions of each instrument in explaining academic efficacy. Research Design and ContextThe sample consisted of 951 (490 male, 461 female) students drawn from grade 8 and grade 10 classes in four Canadian high schools.Researchers in Australia and Asia have recently developed a classroom environment instrument called the What Is Happening in This Classroom questionnaire (WIHIC, Aldridge & Fraser, 2000; Fraser, 1998b).Although the WIHIC is comprehensive, it is not

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)0.002
metaresearch head score (Gemma)0.005
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 score0.232
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
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)0.0140.000

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 head0.082
GPT teacher head0.443
Teacher spread0.360 · 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