Computer-Mediated Communication in Korean-English Chat Rooms: Tandem Learning in an International Languages Program
Bibliographic record
Abstract
This longitudinal case study draws on sociocultural theory to investigate language learning as a socially mediated process through computer-mediated communicative tasks in an international languages class. The study reports on the design, implementation, and outcomes of a thematic, task-based curricular innovation in which paired Korean- and English-speaking peers, each learning the other's language, collaborated on chat homework assignments. Examination of these chat interactions between experts and novices, with the tandem partners fulfilling each role in turn, reveals how on-line collaborative discourse supports knowledge building within this cross-linguistic learning environment. Data from chat exchanges show how these students were able to learn and teach contextually meaningful and appropriate linguistic and cultural behaviour through socially mediated actions, using the meaning-making resources within their own learning community. Specifically, the findings show the ways in which learners appropriated a variety of language practices, developed awareness of self in relation to others, and participated in expert and novice discursive practices in the construction of meaning.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| 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".