Réorganisation de l'enseignement dans un cours introductif en analyse et conception de logiciels | Reorganization of Teaching in an Introductory Course in Software Analysis and Design
Bibliographic record
Abstract
Le Département de génie informatique et génie logiciel de Polytechnique Montréal propose un cours introductif d'analyse et de conception de logiciels aux étudiants au début de leur cursus en génie informatique et logiciel. Les réactions montrent qu'ils aimeraient consacrer plus de temps à des exemples et exercices. En parallèle, les étudiants de 2e et 3e année semblent oublier certaines notions clés de modélisation logicielle apprises précédemment. Cet article présente un projet qui a été entrepris pour résoudre ces deux problèmes. Une séance de tutorat d'une heure par semaine a été insérée dans le cours introductif, en plus des heures en classe et de laboratoire. Nous avons également développé un site web accessible au public qui présente les notions importantes du Unified Modeling Language (UML), le langage de modélisation de logiciels le plus courant. Les résultats indiquent des pistes d’amélioration. Le projet a mis en évidence la nécessité de clarifier certaines questions fondamentales concernant l'enseignement de l'UML. [English version] The Department of Computer and Software Engineering at Polytechnique Montréal offers a basic software analysis and design course to students at the beginning of their coursework in computer and software engineering. Feedback shows that they would like to spend more time studying examples and completing exercises. In parallel, students in their 2nd and 3rd years seem to forget some key software modelling notions learned earlier. This paper presents a project that was undertaken to address both issues. First, a one-hour tutorial session per week was introduced in the basic software analysis and design course, in addition to the hours in the classroom and laboratory. Second, we developed a publicly available website that presents the important notions of the Unified Modeling Language (UML), the most common software modelling language. Results point to further possible improvements. The project highlighted the need to clarify some fundamental questions regarding the teaching of UML.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".