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Record W4239148945 · doi:10.3138/cmlr.62.1.49

Computer-Mediated Communication in Korean-English Chat Rooms: Tandem Learning in an International Languages Program

2005· article· en· W4239148945 on OpenAlexvenueno aff
Yang-Gyun Chung, Barbara Ann Graves, Mari Wesche, Marion A. Barfurth

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsSociocultural evolutionMeaning (existential)Task (project management)Computer-mediated communicationThematic analysisPedagogyLanguage acquisitionClass (philosophy)Variety (cybernetics)PsychologyLinguisticsComputer scienceMathematics educationQualitative researchSociologyWorld Wide WebThe Internet

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.259
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2005
Admission routes1
Has abstractyes

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Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicEFL/ESL Teaching and LearningFrench-language works237,207