Educators’ Perceptions of Uses, Constraints, and Successful Practices of Backchanneling
Bibliographic record
Abstract
This qualitative study sought to explore participants’ perceptions of the impact of web-based backchanneling conversations in a variety of learning environments. Backchannels, forms of instant message conversations, take place during synchronous learning sessions. Online interviews with educators from Canada and the United States revealed their perceptions of the uses, constraints, and successful practices of backchanneling. Educators in the study saw backchanneling as a non-disruptive, non-subversive, collaborative activity that expanded participation and interactions; an approach applied with intentionality to enhance learning. Six themes emerged from the data: backchanneling for professional development and networking; backchanneling for engagement; constraints of backchanneling; changes in teacher and/or learner perspectives; examples of backchanneling in educational settings; and suggestions for successful backchanneling.Keywords: web-based backchanneling; learning environments; professional development; networking
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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 | 0.013 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".