An Exploration of the Social Web Environment for Collaborative Software Engineering Education
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
The technological environment in which software engineering education (SEE) resides and thrives continues to evolve. In this paper, SW4CSE2, a methodology for collaborations in SEE based on the Social Web environment, is proposed. The impact of integrating Social Web technologies, and applications based on these technologies, in collaborative activities that commonly occur in the context of SEE are explored. In particular, teacher–student and student–student collaborations, both inside and outside the classroom, are highlighted. In doing so, the feasibility issues in selection and adoption of technologies/applications are emphasized, and the use of pedagogically-inclined patterns is made. The potential prospects of such an integration, and related concerns, are illustrated by practical examples.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 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 it