Journey Continues: Piloting Competency-based Assessment in a First-year Engineering Course on Ethics, Communication, and Creative Problem Solving
Notice bibliographique
Résumé
Renaissance Engineering 1 is a first-year engineering course that is the “flagship course” of Lassonde School of Engineering, where students are introduced to essential concepts and practices in ethics, communication, and creative problem solving. It is a large course that impacts over 600 students per year. Since Fall 2020, partly as a response to the pandemic, we fundamentally transformed the content and delivery of the course. This year, we have continued this transformative journey with an emphasis on reinventing the assessment approach. The limitations of normative grading are wellknown in the education field. Specifically, to our situation, the appropriateness of this practice in professional education where the goal is to ensure every student acquires the necessary competence, is suspect. Specification grading bridges normative and competencybased grading paradigms and has been shown to be effective in the engineering education setting. We applied specification grading to Renaissance Engineering 1. In all assignments, including the final case study, students are asked to satisfy a number of requirements distributed across four levels of competencies: Level 1: Foundational requirements for being a well-adjusted citizen, Level 2: Foundational requirements for being a contributing engineer, Level 3: Advanced requirements for being a well adjusted citizen, and Level 4: Advanced requirements for being a contributing engineer. Students are assigned grades from D to A based on their requirement satisfaction. Students have a limited number of chances to revise and resubmit their work if they have failed to satisfy all requirements in order to demonstrate competency. If they fail to meet multiple level 1 requirements after resubmission, they will fail the course. During the Fall-2021 term, we faced a number of unexpected challenges and surprises. Compared to previous years, this cohort - having experienced tremendous difficulties through the pandemic - were more tentative and insecure and took to a new grading scheme with notable trepidation initially. Surprisingly, many students had notable difficulty following clear written instructions, which is likely another pandemic-induced abnormality. Nevertheless, the majority of the students became comfortable with the scheme by the end of the term and achieved satisfactory learning outcomes. Significantly, while the majority of the students (~58%) achieved A or B grades, a significant minority (~18%) of students had failed the course. The course is offered to a new cohort of students in Winter 2022. Following a system thinking approach, we adjusted the grading scheme implementation based on our experience and learnings from the Fall-2021 term through winter term that led us to new and consistent findings. However, the benefits of specification grading in ensuring students meet critical competencies is particularly relevant for a professional education program such as engineering. Indeed, the bimodal grade distribution calls into question the status quo of normbased grading and calls for further research on assessment schema in engineering.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,021 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».