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Record W7161795509 · doi:10.82308/50108

Students' conceptions of learning and their correspondence to learning in western universities: a study of Chinese graduate students

2009· dissertation· en· W7161795509 on OpenAlexaboutno aff
Dadong Hou

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsnot available
Fundersnot available
KeywordsMainland ChinaGraduate studentsContext (archaeology)Multivariate analysis of varianceChinaTest (biology)Mainland

Abstract

fetched live from OpenAlex

This mixed-methods study explored Chinese graduate students' conceptions of learning, and the correspondence between conceptions of learning, and their learning experiences in universities in the United Kingdom (UK) and Canada. In particular, this study shows how the conceptions of learning developed in a Chinese educational context correspond to the challenges of their graduate study in western universities inside and outside the classroom, and to the strategies they used to deal with those challenges. A survey of conceptions of learning was administered to 107 mainland Chinese students who had completed their undergraduate studies in mainland China by using the revised Conceptions of Learning Inventory (COLI) (Purdie & Hattie, 2002). Among them, 44 had only studied in universities in China and 63 were either currently studying or had recently concluded their graduate studies in the UK or Canada. A purposeful sample of 20 graduate students, ten from the UK and ten from Canada, was obtained from the previously sampled pool of 63 people who were studying or had completed graduate studies in western settings for an in-depth interview. A MANOVA was performed to test the differences in conceptions of learning between those who did and those who did not study at a western university, based on the subscales of the COLI. No significant differences were detected between the two groups on any of the subscales except learning as the development of the social competency subscale. The interview results identified ten categories of conceptions of learning, and all participants held multiple conceptions of learning rather than just a single conception. The challenges and adjustment strategies that Chinese students have while studying at a western university are associated with how they view learning. The variations in the challenges that Chinese students encounter during their study in western universities are associa

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)0.003
metaresearch head score (Gemma)0.001
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 score0.085
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.070
GPT teacher head0.480
Teacher spread0.410 · 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
Published2009
Admission routes1
Has abstractyes

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