Tutor Perceptions of a University Writing Centre’s Program of Skills Development for Supporting Multilingual Students using English as an Additional Language
Bibliographic record
Abstract
With growing numbers of multilingual students who have first or primary languages other than English seeking the services of Canadian university writing centres where English is the language of instruction, providing these students with supportive and effective teaching and learning experiences is an important part of their post-secondary education. However, little research has been carried out to examine the impact of writing centre tutor skill development programs to foster meaningful teaching and learning experiences for multilingual students. This qualitative study employed focus group research methods to gather the writing centre tutors’ shared perceptions of their skill development opportunities for working with multilingual students. Data were coded and analyzed using a thematic approach. Findings point to multilingual student expectations, tutoring challenges, program effectiveness, and program applicability as elements that impact the tutors’ overall impressions of the skill development opportunities they encountered. While there were still areas for improvement, implementing a program of skill development for working with multilingual students in a writing centre was generally beneficial for the tutors in this study.
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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 | 0.007 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".