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  • Please use this identifier to cite or link to this item: http://repositorio.uti.edu.ec//handle/123456789/3247
    Title: Teaching-Learning in the Industrial Engineering Career in Times of COVID-19
    Authors: Saá, Fernando
    Cáceres, Lorena
    Fuentes Pérez, Esteban
    Varela-Aldás, José
    Issue Date: 2021
    Publisher: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12784 LNCS, Pages 517 - 530. 8th International Conference on Learning and Collaboration Technologies, LCT 2021, held as Part of the 23rd International Conference, HCI International 2021. Virtual, Online. 24 July 2021 through 29 July 2021
    Abstract: Since cancellation of face-to-face education during the health emergency caused by COVID-19, higher education institutions, have had to guarantee the right to education through virtualization. Therefore, this work analyzes the teaching-learning process adapted to the virtual mode in the students of technical subjects of the professionalizing axis in the industrial engineering career a private university of Ecuador. Quantitative research is performed for this using surveys, performance index collection, and historical data. The method has a comparative scope between two academic periods, contrasting the data before and after the pandemic, the indicators are taken from students and teachers. The analysis of surveys is carried out in 3 components of teaching, in students are obtained: planning and methodology, with 81.1% considered as satisfied; teacher-assisted activities, with 79.1% content with the activities; and in practical activities, with 74.9% according to the tools used. Comparisons of indicators in different academic periods show minimal variations in performance, teachers improve the average performance score by 4.1%, and students drop academic performance by 2.6%. Finally, the correlation demonstrates a similar perception between students and teacher in the learning practice component.
    URI: https://link.springer.com/chapter/10.1007/978-3-030-77889-7_36
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