GET A HEAD START! EXPERIENCES OF RUNNING A SUMMER ONLINE CALCULUS COURSE FOR INCOMING FIRST YEAR STUDENTS
Notice bibliographique
Résumé
One of the great advantages of developing online courses is that it enables the institution to reimagine how they can deliver that content to their students. In recent years, the Faculty of Applied Science and Engineering at the University of Toronto has worked to develop a set of first year calculus courses in an online format. These courses were designed specifically for engineering students to: (a) situate the material in an engineering context through multiple real-world examples and “on-site” videos, (b) place an increased emphasis on the form of the solution, and (c) incorporate a significant experience in mathematical modeling through a self-defined project.In July and August of 2014, the Calculus for Engineers I online course was offered to incoming first-year students that were to start in September 2014. The purpose of this paper is to summarize the experiences related to this unique offering from the perspectives of the students as well as the Faculty administration and course instructor.Of the 900 students that were invited to take the course, 170 initially registered for the course in early July, and of those 48 students completed the course at the end of August. Of the 44 students that passed the course, 20 (48%) decided to continue on with the online offering of Calculus for Engineers II in the fall 2014 term.Overall, students were quite positive about their online learning experience and were glad to have the opportunity to complete a credit before their official start. This allowed them to either take an elective in their first year or have a lighter workload in one of the terms.In their course survey comments, they noted that they appreciated the opportunity to learn and review the material at their own pace, the way in which the instructor connected the mathematics to an engineering context, and having an early introduction to the university learning environment.Delivering an online university-level calculus course to incoming first-year students is an exciting and novel way to enhance the engineering student experience in first year. This paper provides an introductory summary of this approach from the students’, instructor’s, and administrators’ perspectives.
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 distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».