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Record W2767176779 · doi:10.1080/08975930.2017.1359767

International-Domestic Student Differences in Learning: Use of Classroom Response Systems in China Versus in Canada

2017· article· en· W2767176779 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Teaching in International Business · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsClickerPsychologyChinaCultural diversityMathematics educationPedagogyPolitical science

Abstract

fetched live from OpenAlex

This study compares the impact of audience response systems (clickers) on the learning experience and classroom behavior of Chinese and Canadian students. Based on differences in student learning styles, which are rooted in the differences in national cultures, we predict that clicker technology will result in a more positive learning experience, and have more impact on classroom behavior in Chinese students than in Canadian students. Our survey results show that, consistent with the findings of prior studies, both groups of students report a positive experience and improved classroom behavior with the use of clickers. Chinese students report a more positive learning experience, but no difference in classroom behavior changes than Canadian students. This study extends the research on clickers by considering the impact of cultural background and shows classroom technology such as clickers can potentially help mitigate the cultural barriers in international business education.

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)0.010
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.032
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)0.0000.000

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 head0.083
GPT teacher head0.409
Teacher spread0.326 · 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