Professional Self-Development Mediated by ePortfolio: Reflections of an ESL Practitioner
Bibliographic record
Abstract
This reflective Perspectives article will give readers some insight into the professional self-development experiences of an English as a second language (ESL) practitioner after she recognized a significant shift in learning and teaching paradigms resulting from instructional tools available on the World WideWeb. It also attempts to describe the learning moments of an ESL practitioner in her role as a creator, curator, user, and implementer of an electronic portfolio, or eportfolio, as she experienced her own personal growth during her professional self-development. Cet article réfléchi de Perspectives donnera aux lectrices et aux lecteurs un aperçu des expériences d’auto-perfectionnement professionnel d’une enseignante d’anglais langue seconde (ESL) ayant constaté un changement de paradigme important dans les domaines de l’apprentissage et de l’enseignement depuis la disponibilité d’outils pédagogiques sur le World Wide Web. Il tente également de décrire les moments d’apprentissage d’une enseignante d’anglais langue seconde dans son rôle de créatrice, conservatrice, utilisatrice, et applicatrice d’un portfolio électronique, ou portfolio Web, à mesure qu’elle prenait conscience de sa croissance personnelle dans le cadre de son auto-perfectionnement professionnel.
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.024 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 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".