A Theoretically Informed Approach to Collaborative Writing in EAP Contexts Using Web-Based Technologies
Bibliographic record
Abstract
This chapter examines the need for a theoretically-informed approach to collaborative English for Academic Purpose (EAP) pedagogy and research. It discusses the relevance of online collaborative learning in EAP and the call for a theoretically-informed facilitative framework to guide the use of online collaborative writing tools to sustain learning communities and language learning. It establishes the importance of virtual learning communities as catalysts for online collaboration and discusses the need to examine technological affordances, adopting an ecological perspective to inform curricular design. The chapter examines the relevance of the Community of Inquiry model and its three presences: cognitive, social and teaching, as a theoretical basis to inform a facilitative framework to design online collaborative EAP writing tasks. The chapter concludes with a discussion of the interactions of these three presences, details on how they can inform online EAP collaborative writing practices and the need for future research in this area.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".