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Record W4405674758 · doi:10.24908/pceea.2024.18581

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

2024· article· fr· W4405674758 on OpenAlexafffundvenueabout
Éric Germain, François Guibault, Nikolay Radoev

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2024
Typearticle
Languagefr
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsPolytechnique Montréal
FundersPolytechnique Montréal
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.242
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes4
Has abstractyes

Explore more

Same venueProceedings of the Canadian Engineering Education Association (CEEA)Same topicOpen Education and E-LearningFrench-language works237,207