A qualitative approach to help adjust the design of management subjects in ict engineering undergraduate programs through user experience in a smart classroom context
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2021-07-12
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MDPI AG
Resumen
Qualitative research activities, including first‐day of class surveys and user experience interviews on completion of a subject were carried out to obtain students’ feedback in order to im-prove the design of the subject ‘Information Systems’ as a part of a general initiative to enhance ICT (Information and Communication Technologies) engineering programs. Due to the COVID‐19 (co-rona virus disease 2019) pandemic, La Salle URL adopted an Emergency Remote Teaching tactical solution in the second semester of the 2019–2020 academic year, just before implementing a strategic learning approach based on a new Smart Classroom (SC) system deployed in the campus facilities. The latter solution was developed to ensure that both on‐campus and off‐campus students could effectively follow the course syllabus through the use of new technological devices introduced in classrooms and laboratories, reducing the inherent difficulties of online learning. The results of our findings show: (1) No major concerns about the subject were identified by students; (2) Interaction and class dynamics were the main issues identified by students, while saving time on commuting when learning from home and access to recorded class sessions were the aspects that students con-sidered the most advantageous about the SC.
Palabras clave
COVID‐19
Emergency remote teaching
Engineering education
First day of class
Higher education
ICT
Information systems
Smart classroom
User experience
Emergency remote teaching
Engineering education
First day of class
Higher education
ICT
Information systems
Smart classroom
User experience
Descripción
Materias
Cita
Petchamé, J., Iriondo, I., Villegas, E., Fonseca, D., Yesa, S. R., & Aláez, M. (2021). A qualitative approach to help adjust the design of management subjects in ict engineering undergraduate programs through user experience in a smart classroom context. Sensors, 21(14). https://doi.org/10.3390/S21144762