Harnessing Multilingual International Students’ English Academic Socialization through Asynchronous Interactive Online Orientation
Bibliographic record
Abstract
This online project was created to orient multilingual international students into the new academic context of a major Canadian university by offering them a set of asynchronous interactive self-paced modules. We drew on an academic discourse socialization framework to identify and scaffold areas in need of further development in students’ academic practices. Prior to designing the modules, we conducted an informal focus-group meeting to understand views of recently admitted undergraduate and graduate students with regard to the areas where they felt the need for most support. Based on the students’ comments and our own experiences as multilingual educators and international graduate research assistants, we designed modules centred on four key principles of comprehension, representation, multimodality, and accessibility. The designed modules were then shared with another cohort of new students in this Canadian university and their views were collected. Students’ responses showed the potential effectiveness of this online orientation in their academic success in their target institution. We discuss the affordances (and limitations) of this project based on the analysis of the content of modules, the process of designing them, and our reflections on student views. Ce projet en ligne a été créé pour soutenir les étudiants internationaux multilingues intégrant le nouveau contexte académique d’une grande université canadienne en leur proposant un ensemble de modules interactifs asynchrones à suivre de manière autonome. Nous nous sommes appuyés sur un cadre de socialisation du discours académique pour identifier et étayer les domaines nécessitant un développement plus poussé des pratiques académiques des étudiants. Avant de concevoir les modules, nous avons organisé un entretien de groupe informel afin de comprendre les points de vue des étudiants récemment admis dans des programmes de premier cycle et de cycles supérieurs en ce qui concerne les domaines dans lesquels ils ressentaient davantage le besoin d’être soutenus. Sur la base des commentaires des étudiants et de nos propres expériences en tant qu’éducateurs internationaux multilingues et assistants de recherche aux cycles supérieurs, nous avons conçu des modules centrés sur quatre principes clés : la compréhension, la représentation, la multimodalité et l’accessibilité. Les modules conçus ont ensuite été partagés avec une autre cohorte de nouveaux étudiants dans cette université canadienne et leurs avis ont été recueillis. Les réponses des étudiants ont montré l’efficacité potentielle de ces modules en ligne pour leur réussite académique dans l’établissement cible. Nous discutons des possibilités (et des limites) de ce projet sur la base de l’analyse du contenu des modules, du processus de leur conception et de nos réflexions sur les opinions des étudiants.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".