A Management System for Model-Oriented Course Outlines
Bibliographic record
Abstract
Driven by requests from Internet-savvy students, a large number of universities and educational institutions have started to design, develop and use information and communication technology to create, share and disseminate instructional material. Commercial tools, such as Blackboard and WebCT, are available to offer basic course management functionalities. However, most of these tools are hindered by flaws that prevent sharing and publishing instructional material. For example, professors are generally provided with little assistance and deprived of models to develop the structure of their course outlines and they often prevent colleagues from sharing resources. Creating course outlines is indeed a laborious and complex task. The authors believe that a management system for electronic course outlines should be based on the management of models which enables users to create, adapt and modify course outline structures. This paper presents Course Zone, a modeloriented management system for course outlines developed at HEC Montreal.
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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 | 0.000 | 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 | 0.000 |
| 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".