Replacing Face-to-Face Tutorials by Synchronous Online Technologies: Challenges and pedagogical implications
Bibliographic record
Abstract
This paper reports on a study which investigates the implementation of a synchronous e-learning system (Interwise) for online tutorials on an information technology related course offered by the Open University of Hong Kong (OUHK). It examines a set of interview data related to students’ and tutors’ views on the use of the system. Issues concerning students’ participation in online tutorials, opportunities for interaction in using the system, and tutors’ roles in real-time conferences are discussed. The findings suggest that both the students and tutors are positive about the use of Interwise for online tutorials in general. Some students, however, indicate dissatisfaction with the one-way communication and teacher-control functionalities of the system. The results also indicate that the tutors are concerned about the workload involved in using Interwise in terms of managing the functionalities of the system and the different learning tasks. Implications are then drawn for supporting synchronous online learning both in the OUHK and a wider academic context.
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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 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".