English Language Teachers’ perceptions of academic integrity and classroom behaviour of culturally diverse adult English Language Learners (ELLs) in Canada: A critical perspective
Bibliographic record
Abstract
The study is based in critical issues in the field of English Language Teaching (ELT) as second or additional language and informed by Critical Pedagogy (CP), the study uses thematic discourse analysis through critical analysis techniques. The main focus of this research is to explore the extent of intercultural understanding and perceptions of the English Language Teachers (ELTs) towards students in their culturally heterogeneous ELT classrooms about certain academic behaviours, namely plagiarism (Academic Integrity) and learners’ classroom participation and relationship of these academic tasks to the cultural orientation of English Language Learners (ELLs) in ELT classrooms in the Canadian context. Participating ELTs teach adult students of color and ethnic diversity in different English language teaching situations and come both from across Canada, at the macro level (Stage 1-survey questionnaire), and from Nova Scotia, at the micro level (Stage 2-focus group discussions). The thesis also demonstrates factors that may contribute to Canadian ELTs’ perceptions about the issue of understanding non-white and racially non-main stream ELLs. The thesis aims at bringing attention to the need for a collaboratively developed Professional Development (PD) training component focused on intercultural understanding from a critical perspective, for the ELTs in the Canadian context. It is expected that the findings will gain some traction among the ELT community, especially in the Canadian context and will contribute to highlighting the importance of understanding of cultural differences and inclusion of this understating in the continuous professional development of English language teachers.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".