The Virtual Forum as an Alternative Way to Enhance Foreign Language Learning* El foro virtual como una alternativa para incrementar el aprendizaje del idioma extranjero
Bibliographic record
Abstract
A web-based story sharing forum has been established to provide students in Bogotá, Colombia, New Brunswick, Canada and Dundee, Scotland with the opportunity to exchange cross-cultural stories as a complement to the regular ELT Curriculum. This paper will describe the process through which the exchange experience was established and the progress achieved by the group of Colombian students in their regular interaction through blogs, theme-based wikis, social forums and online debates. The teaching practices utilized in the forum have fostered the creation of communities of interest and practice among teachers and students in the forum. Early results suggest that this innovative way of implementing the ELT curriculum has promoted student involvement and language development through the use of ICTs. El propósito de este artículo es compartir las experiencias de intercambio lingüístico y cultural que a través de un foro virtual (www.ourdigitalculture.net) se realizaron entre un grupo de estudiantes colombianos aprendiendo inglés como lengua extranjera y un grupo de estudiantes de New Brunswick, Canadá y Escocia a través de interacción regular con el uso de blogs, wikis, foros sociales y debates. El objetivo es mostrar el proceso de intercambio y los beneficios en el aprendizaje del grupo de estudiantes Colombianos. Las prácticas de enseñanza utilizadas en el foro han promovido la creación de comunidades de interés y comunidades de práctica entre los profesores y los estudiantes del foro. Los resultados preliminares sugieren que esta forma alternativa de implementar el currículo de inglés como lengua extranjera ha fomentado la participación activa de los estudiantes y el desarrollo de lengua extranjera mediante el uso de las TICs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".