A Case Study of Videoconferencing in the Classroom: A Methodology for Measuring Interactions, Behaviors and Attitudes
Bibliographic record
Abstract
Videoconferencing is a valuable educational resource because it provides access to otherwise unreachable learning materials, it motivates students, and helps them improve their communication skills. Over the last four years we have developed a unique application of videoconferencing known as Wayne Gretzky's PEBBLES (Providing Education By Bringing Learning Environments to Students). This is a video-mediated communication system that has been designed to link a child in the hospital with his/her regular classroom. Analysis of video tape data from a six-week case study documenting the frequency of interactions and usage behaviors indicate that the student was able to spend most of her in-class time focussing on the academic tasks assigned to the class despite some technical difficulties and distractions in her local environments. Audio difficulties persisted throughout the study and must be improved in future design iterations of the system.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".