Teaching Challenges in COVID-19 Scenery: Teams Platform-Based Student Satisfaction Approach

Leticia Rodriguez-Segura, Marco Antonio Zamora-Antuñano, Juvenal Rodriguez-Resendiz, Wilfrido J. Paredes-García, José Antonio Altamirano-Corro and Miguel Ángel Cruz-Pérez
Additional contact information
Leticia Rodriguez-Segura: National Directorate of Innovation and Educational Research, Universidad del Valle de Mexico, San Juan de Dios 6, Coapa, Ex de San Juan de Dios, Tlalpan, Ciudad de Mexico 14370, CDMX, Mexico
Marco Antonio Zamora-Antuñano: Engineering Area of Universidad del Valle de Mexico, Campus Querétaro and Centro de Investigación e Innovación Tecnológica (CIIDETEC-UVM), Naranjos Punta Juriquilla 1000, Santa Rosa Jauregui, Santiago de Querétaro 76230, Mexico
Juvenal Rodriguez-Resendiz: Facultad de Ingeniería, Universidad Autónoma de Querétaro, Querétaro 76010, Mexico
Wilfrido J. Paredes-García: Facultad de Ingeniería, Universidad Autónoma de Querétaro, Querétaro 76010, Mexico
José Antonio Altamirano-Corro: Engineering Area of Universidad del Valle de Mexico, Campus Querétaro and Centro de Investigación e Innovación Tecnológica (CIIDETEC-UVM), Naranjos Punta Juriquilla 1000, Santa Rosa Jauregui, Santiago de Querétaro 76230, Mexico
Miguel Ángel Cruz-Pérez: Engineering Area of Universidad del Valle de Mexico, Campus Querétaro and Centro de Investigación e Innovación Tecnológica (CIIDETEC-UVM), Naranjos Punta Juriquilla 1000, Santa Rosa Jauregui, Santiago de Querétaro 76230, Mexico

Sustainability, 2020, vol. 12, issue 18, 1-29

Abstract: At the onset of the crisis caused by COVID-19, the Mexican education system chose to join the global context and suspend face-to-face classes for all educational levels. For the continuity of educational processes, a transition from a traditional educational model (face-to-face) to emergency remote teaching (ERT) was made through virtual learning platforms and learning management system (LMS) schemes. Universidad del Valle de Mexico (UVM), in a collaboration agreement with Microsoft Co., chose to use Teams to continue its educational process. In this work, we intend to identify the factors that can be taken into account regarding the level of student satisfaction in the teaching–learning process in ERT using Teams, and validate the established educational strategy. Statistical analysis was carried out to analyze the academic environment for these scenario changes while considering knowledge assessment, and competencies achievement. A combined sampling method was applied with convenience and statistical analysis. The main results established significant percentages, where more than 60% of the students surveyed were manifested in the use of the teams and the organization of the class sessions by the teachers, and the activities developed. Using the Cronbach’s Alpha coefficient, the reliability of the data collection instruments was determined. The correlations of each of the survey questions were calculated to determine the relationship between themselves and the total answers, giving results similar to those obtained through data science tools. Taking advantage of the situation, data science tools were applied to compare the results with obtained values from RapidMiner software in the correlation of factors in of 0.440, 0.384, 0.246, 0.048 and 0.384.

Keywords: teaching-learning; emergency remote teaching; Teams platform; data science tools; educational management; sustainable development goals (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/18/7514/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/18/7514/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:18:p:7514-:d:412405

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().