Examining International Telecollaboration in Language Teacher Education
Bibliographic record
Abstract
This chapter presents findings of case study action research examining the impact of technology-mediated collaboration between teacher-learners in two graduate-level Applied Linguistics Master's programs in Canada and Israel. To date, little research has been conducted on international telecollaborative exchanges in language teacher education programs. This chapter will discuss teacher-learners' perceived benefits and challenges of this international telecollaborative exchange, its impact on beliefs towards the use of technology-mediated tools, and the relevance of these types of collaborations in language teacher education. The authors will highlight individual teacher-learner voices in this study that illustrate how teacher assumptions about authority, experience, and teacher identity evolve on individual pathways and are situated in complex, historically embedded paradigms of teaching and learning experience. The chapter will conclude with insights gained regarding strategies for implementing effective international telecollaborative exchanges in language teacher education programs.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".