A WebCT Discussion Forum during a TESL Practicum: Pre-service Teachers’ Perceptions of Learning
Bibliographic record
Abstract
Within teacher education programs, the use of discussion forums offers potential for creating learning communities whereby participants can negotiate meaning and engage in knowledge construction (Lock, 2006; Murphy, 2000). To this end, the present article draws on the findings of a larger research project which focused on a discussion forum activity carried out with pre-service English second language (ESL) teachers during a practicum in Francophone schools in the province of Quebec. The specific question addressed in this article is: How do pre-service teachers view the discussion forum activity in relation to the practicum experience? Data were gathered using a survey questionnaire adapted from Arnold and Ducate (2006) and semi-structured interviews. Of particular note with respect to the results is that students who participated in the discussion forum perceived the exchanges as useful in terms of their professional development as teachers. As few studies have focused on the use of discussion forums in conjunction with a practicum, areas for future research have been identified.
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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 | 0.014 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".