Pre-service teacher reflections, video-conference and WebCT: An exploratory case study
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
Introduction. The development of video-conference and WebCT technology offers new possibilities for the education of pre-service teachers; opportunities that are only just beginning to be touched on. In this exploratory article, we investigate the opportunities for reflection that technology afforded three pre-service teachers in Canada as they a taught five elementary mathematics lessons to a remote school from their faculty of education.Method. Three pre-service teachers taught a series of mathematics lessons in a remote school via video-conference technology. Between lessons the recordings were reviewed by the pre-service teachers who subsequently engaged in WebCT discussions amongst themselves and their instructor (the third author). These commentaries were analysed in terms of the pre-service teachers‟ level of reflectivity, as either „commonsense thinkers‟ or „alert novices.‟ From this initial analysis, we then investigated three areas which the data suggests are important in assisting pre-service teachers to improve their capacities for reflection.Results. These three areas are: the biography of the pre-service teacher; the provision of content for pre-service teachers‟ reflections, and; the capacity of pre-service teachers to access the reflective opportunities afforded by the technologies.Conclusions. Based on our work, we believe that the increasing interest in utilizing video-conferencing technologies for pre-service teacher education calls for an understanding of these issues as a means for increasing the efficacy of that utilization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it