Bridging the gaps: Using social media to develop techno-pedagogical competences in pre-service language teacher education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To use technology effectively in the language classroom, pre-service teachers must develop basic techno-pedagogical competences for the classroom and learn to select from abundant online resources. Research underlines the importance of autonomous, collaborative and networked approaches to in-service teacher education and the present empirical study extends this model to pre-service trainees. It investigates whether constructivist principles of group collaboration, web-based research, and social networking can inform effective course design for pre-service teachers of several target languages and to what extent these teachers can acquire techno-pedagogical skills, learn to filter online content, and adopt collaborative learning practices without direct contact with learners. Group projects involving online curation, wikis and social media were analysed and results show progress in techno-pedagogical competences, collaborative skills, and attitudes to ICT, suggesting social media can allow trainee teachers to benefit from and contribute to online teaching and learning resources, laying the groundwork for ongoing professional development.
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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 | 0.025 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 it