MétaCan
Menu
Retour à la cohorte
Enregistrement W4308713041 · doi:10.24908/pceea.vi.15929

Journey Continues: Piloting Competency-based Assessment in a First-year Engineering Course on Ethics, Communication, and Creative Problem Solving

2022· article· en· W4308713041 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
fundUn bailleur canadien est enregistré sur le travail.
venuePublié dans une revue dont le pays d'attache est le Canada.

Notice bibliographique

RevueProceedings of the Canadian Engineering Education Association (CEEA) · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueProblem and Project Based Learning
Établissements canadiensYork University
Organismes subventionnairesYork University
Mots-clésGrading (engineering)Competence (human resources)NormativeTransformative learningEngineering educationEngineering ethicsEngineeringPsychologyMathematics educationMedical educationPedagogyEngineering managementPolitical scienceMedicine

Résumé

récupéré en direct d'OpenAlex

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,335
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,013
Tête enseignante GPT0,275
Écart entre enseignants0,261 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle