The 13th International CDIO Conference Proceedings - Full Papers
Notice bibliographique
Résumé
The CDIO approach is an innovative educational framework for producing the next generation of engineers. The aim is an education that supports students in the acquisition of strong technical fundamentals while simultaneously developing the necessary professional skills required of a practicing engineer. This is done by providing students with dual-impact learning experiences that are based upon the lifecycle of an engineering project, the Conceiving – Designing – Implementing – Operating (CDIO) of real-world products, processes, and systems. Throughout the world, more than 135 institutions have adopted CDIO as the framework of their curriculum development. The Annual International Conference is the main meeting of the CDIO Initiative and it includes presentations of papers as well as special seminars, workshops, roundtables, events and activities. The 13th International CDIO Conference takes place in Calgary, Canada, June 18–22, 2017, hosted by the Schulich School of Engineering at the University of Calgary. The organizers together with the City of Calgary welcome you to the event! The main theme of this year is Engineering Education in the Digital Age. It is visible in the keynote presentations, paper presentations, roundtables and workshops. The rich topical program will facilitate lively discussion and contribute to further advancement of engineering education. The conference includes two types of contributions, Full Papers and Projects in Progress. The Full Papers fall into three tracks: Advances in CDIO, CDIO Implementation, and Engineering Education Research. All Full Papers have undergone a full single-blind review process to meet scholarly standards. The CDIO Projects in Progress contributions describe current activities and initial developments, and were selected by the program committee co-chairs based on the submitted abstracts. Originally, 170 abstracts were submitted to the conference. The authors of the accepted Full Paper abstracts submitted 108 Full Paper manuscripts to the peer review process. During the review, 310 review reports were filed by 91 members of the 2017 International Program Committee. Acceptance decisions were made based on these reviews. The reviewers’ constructive remarks served as valuable support to the authors of the accepted full papers when they prepared the final versions of their contributions. We want to address our warmest thanks to those who participated in the rigorous review process. This publication contains the 102 accepted full papers that will be presented at the conference, of which 5 are Advances in CDIO; 48 CDIO Implementation; and 11 Engineering Education Research. These papers have been written by 173 different authors representing 30 countries. This book is available as an electronic publication only. In addition to the Full Papers, 32 CDIO Project in Progress contributions will be presented at the conference and are not included in this publication. We hope that you find these contributions valuable in developing your own research, curriculum development, and teaching practice, ultimately furthering the engineering profession. We also hope that you benefit through the truly unique community of practice that exists within the CDIO Initiative. A total of 80 universities from 35 countries, representing six continents, will be present during the conference. Seize the opportunity to discuss and share with colleagues, as global awareness and partnerships are of major importance in the education of the next generation of engineers. Wishing all of you a wonderful CDIO 2017 experience! Calgary, June 15, 2017
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 | 0,005 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,016 | 0,006 |
| Science ouverte | 0,003 | 0,005 |
| Intégrité de la recherche | 0,004 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,356 | 0,289 |
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 ».