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Titel: Assessing Problem-Based Learning satisfaction using Net Promoter Score in a virtual learning environment
Autor(en): Gamarra-Moreno, Abraham
Gamarra-Moreno, Daniel
Gamarra-Moreno, Arturo
Gamarra-Moreno, Juan
Stichwörter: Inteligencia artificial
Instrucción asistida por ordenador
Aprendizaje electrónico
Herausgeber: Universidad Continental
Erscheinungsdatum: 2021
metadata.dc.date.available: 2-Sep-2021
Zitierform: Gamarra, A., Gamarra, D., Gamarra, A., Gamarra, J. (2021). Assessing Problem-Based Learning satisfaction using Net Promoter Score in a virtual learning environment . EDUNINE 2021 - 5th IEEE World Engineering Education Conference: The Future of Engineering Education: Current Challenges and Opportunities, Proceedings, 1(1), [9]. https://doi.10.1109/EDUNINE51952.2021.9429104
metadata.dc.identifier.doi: https://doi.10.1109/EDUNINE51952.2021.9429104
Zusammenfassung: The COVID-19 pandemic has forced us to adapt our teaching/learning strategies to a synchronous/asynchronous online environment, while maintaining a focus on outcomes in vocational training courses. Continuous improvement in education involves the measurement and feedback of teaching/learning processes. In this sense, the Problem-Based Learning strategy with the Net Promoter Score methodology was evaluated due to its simplicity and reliability of the methodology. For the application of Problem-Based Learning a problematic situation was enunciated for students to solve by applying an 8-step method and at the end of the course a questionnaire was applied with 15 items classified in three subscales (knowledge, skills and attitudes) to measure the Net Promoter Score. The result in the three courses: Data Structure, Artificial Intelligence and Emerging Technologies; were higher than 75%, which reveals a higher than average level of satisfaction in education/training whose value is 71%.
metadata.dc.description.note: El texto completo de este trabajo no está disponible en el Repositorio Institucional - Continental por restricciones de la casa editorial donde ha sido publicado.
Extension: p. [9]
metadata.dc.rights.accessRights: Restringido
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