Tutor Messaging and Its Effectiveness in Encouraging Student Participation on Computer Conferences
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
Following student requests for more frequent tutor intervention in academic computer conferences, research was conducted to discover whether different patterns of tutor intervention did in fact result in greater student activity, measured both by the number of student contributions and by instances of dialogue between tutor and student. The conclusion reached was that certain tutor behaviour could encourage participation where it might otherwise not take place, but that it was not a necessary precursor to student activity in all circumstances. En reponse aux demandes des etudiants souhaitant une intervention plus frequente des tuteurs aux teleconferences informatisees, une recherche a ete effectuee afin de determiner si divers modeles d'interventions des tuteurs encourageaient effectivement la participation etudiante. Le niveau de participation a ete evalue en fonction du nombre de contributions des etudiants et d'echanges entre tuteur et etudiants. Les conclusions ont revele que certains comportements de la part des tuteurs pouvaient en effet encourager la participation des etudiants, qui autrement ne prendraient pas part au dialogue, mais ce changement de comportement de la part du tuteur n'etait toutefois pas l'unique facteur.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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