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Record W4316020648 · doi:10.32674/jcihe.v14i5a.4779

Canadian and Iranian Graduate Students' Conceptions of Critical Thinking: A Comparative Study

2023· article· en· W4316020648 on OpenAlexaffabout
Farzaneh Ojaghi Shirmard

Bibliographic record

VenueJournal of Comparative & International Higher Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsCritical thinkingPreparednessCompetence (human resources)CurriculumNarrativePedagogyPsychologyMathematics educationPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

This study compares Canadian and Iranian international students’ conceptions of critical thinking during their graduate studies in Canada. Critical thinking is an essential skill in Canadian higher education. It enables students to make reasoned judgments from their observations and experimentation. This narrative inquiry using open-ended interviews describes the narratives of eight students from different master’s programs at a university in western Canada to examine their experiences and notions of critical thinking. The preliminary findings reveal that while all Canadian participants had knowledgeable perspectives about critical thinking, Iranian participants required more knowledge to build their critical thinking conceptualizations. Moreover, content knowledge, instructors’ competence, and teaching methods significantly influenced students’ critical thinking development. Results offer a comprehensive understanding of how Canadian higher institutions and curriculum developers need to provide appropriate opportunities and curricula for cultivating and developing critical thinking among local students while paying attention to Iranian students’ needs and academic preparedness.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.657

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.159
GPT teacher head0.497
Teacher spread0.338 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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