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Enregistrement W2130308440 · doi:10.1080/03043797.2014.944101

Consensus-based course design and implementation of constructive alignment theory in a power system analysis course

2014· article· en· W2130308440 sur OpenAlex

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Notice bibliographique

RevueEuropean Journal of Engineering Education · 2014
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEvaluation of Teaching Practices
Établissements canadiensUniversity of Waterloo
Organismes subventionnairesnon disponible
Mots-clésCourse (navigation)Computer scienceConstructiveProcess (computing)Mathematics educationRanking (information retrieval)Course evaluationRank (graph theory)Higher educationPsychologyArtificial intelligenceEngineeringMathematicsProgramming language

Résumé

récupéré en direct d'OpenAlex

AbstractThis article presents the implementation of the constructive alignment theory (CAT) in a power system analysis course through a consensus-based course design process. The consensus-based design process involves both the instructor and graduate-level students and it aims to develop the CAT framework in a holistic manner with the goal of including different perceptions. The considerations required to implement this approach are described in detail. To examine the effect of this approach, three different course evaluations were conducted by querying the students during different stages of the course. These evaluations show that most of the students find a benefit for their learning in the implementation of CAT within the new course design. These observations are supported by a comparison of the students' performance in the new course and the previous one. Finally, the revised two-factor study process questionnaire (R-SPQ-2F) is utilised to identify the students' learning approach towards the course. The aim is to correlate the students' approach with their final grade to assess if students adopting a deep learning approach are rewarded with higher marks and vice versa, that is, to check if the CAT implementation was successful. Meanwhile, some of the R-SPQ-2F limitations, which affect the quality of the results, are identified and discussed. Additionally, to facilitate the practical usage of R-SPQ-2F, an algorithm was developed by the authors to rank the students' approach towards the course. The results of the new ranking algorithm demonstrate positive correlation with the students' final grade, which is an indication of the effective CAT implementation.Keywords: constructive-alignment theorytwo-factor study process questionnairepower system analysis AcknowledgementsThe economical support of the institutions and funding bodies listed below is sincerely acknowledged: Statnett SF, the Norwegian Transmission System Operator; andThe STandUP for Energy collaboration initiative.About the authorsLuigi Vanfretti received the Electrical Engineering degree from Universidad de San Carlos de Guatemala, Guatemala City, Guatemala, in 2005, and the MSc and Ph.D. degrees in electric power engineering from Rensselaer Polytechnic Institute, Troy, NY, USA, in 2007 and 2009, respectively.He was a Visiting Researcher with The University of Glasgow, Glasgow, Scotland, in 2005. He became an Assistant Professor with the Electric Power Systems Department, KTH Royal Institute of Technology, Stockholm, Sweden, in 2010 and was conferred the Swedish title of 'Docent' in 2012. He is currently a tenured Associate Professor with the same department.He is Special Advisor in Strategy and Public Affairs for the Research and Development Division of Statnett SF, the Norwegian transmission system operator, where he previously served as Scientific Advisor from 2011 to 2013. His duties include architectural analysis for synchrophasor data transfer, communications, and application systems to be utilised in Smart Transmission Grid applications; as well as providing inputs into R&D strategy development and aiding in the execution of collaborative projects with universities, TSOs, and R&D providers.Dr Vanfretti has served, since 2009, in the IEEE PES PSDP Working Group on Power System Dynamic Measurements, where he is now Vice-Chair. In addition, since 2009, he has served as Vice-Chair of the IEEE PES CAMS Task Force on Open Source Software. For his research and teaching work towards his Ph.D. degree, he was awarded the Charles M. Close Award from Rensselaer Polytechnic Institute.He is a lecturer in power system analysis and carries out research to enhance student learning through the implementation of constructive alignment theory and the use of Free and Open Source Software in his teaching. His research interests are in the general area of power system dynamics,;hile his main focus is on the development of applications of PMU data.Mostafa Farrokhabadi obtained the BSc in Electrical Engineering from Tehran Polytechnic University in 2010. He recently obtained the MSc in Electrical Power Engineering degree from KTH Royal Institute of Technology, Stockholm, Sweden, in April 2012. Currently, he is a Ph.D. student at Electrical and Computer Engineering Department, University of Waterloo, Canada.

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)0,010
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,702
Score d'incertitude au seuil0,351

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0100,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,025
Tête enseignante GPT0,367
Écart entre enseignants0,342 · 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