Personal Constructs of Saudi Arabian Graduate Students Studying at a Large Canadian University: A Personal Construct Theory Approach
Bibliographic record
Abstract
Research regarding international education has been mainly quantitative, and of the few existing qualitative studies, no research has explored the perspective of students’ personal and cultural constructs. This study employs a mixed method design within a Personal Construct Theory perspective. The primary objective of this study is to examine the personal constructs of six Saudi Arabian graduate students studying at a large Canadian university, analyzing how they use those constructs to describe their experience of living and learning in Canada. This is achieved through in-depth repertory grid and self-characterization analyses. This study reveals that the participants tend to elicit common constructs in terms of their social roles in the home culture and host culture. This suggests that the participants have a collaborated system of constructs, because they experience particular difficulties in the host culture context. The results of this study imply that pairing new arrivals with Canadian peers would help students adjust successfully to their social life in Canada. Further research to corroborate these results is recommended.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".