Cultural universality and specificity of student engagement in school: The results of an international study from 12 countries
Bibliographic record
Abstract
BACKGROUND: A comprehensive understanding of the contextual factors that are linked to student engagement requires research that includes cross-cultural perspectives. AIMS: This study investigated how student engagement in school is associated with grade, gender, and contextual factors across 12 countries. It also investigated whether these associations vary across countries with different levels of individualism and socio-economic development. SAMPLES: The participants were 3,420 7th, 8th, and 9th grade students from Austria, Canada, China, Cyprus, Estonia, Greece, Malta, Portugal, Romania, South Korea, the United Kingdom, and the United States. METHODS: The participants completed a questionnaire to report their engagement in school, the instructional practices they experienced, and the support they received from teachers, peers, and parents. Hierarchical linear modelling was used to examine the effects at both student and country levels. RESULTS: The results across countries revealed a decline in student engagement from Grade 7 to Grade 9, with girls reporting higher engagement than boys. These trends did not vary across the 12 countries according to the Human Development Index and Hofstede's Individualism Index. Most of the contextual factors (instructional practices, teacher support, and parent support) were positively associated with student engagement. With the exception that parent support had a stronger association with student engagement in countries with higher collectivism, most of the associations between the contextual factors and student engagement did not vary across countries. CONCLUSIONS: The results indicate both cultural universality and specificity regarding contextual factors associated with student engagement in school. They illustrate the advantages of integrating etic and emic approaches in cross-cultural investigations.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".