Analysis about the use of technology in the Clinical Method course during the Covid-19 pandemic considering data science


  • Ricardo-Adán Salas-Rueda Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México
  • Ricardo Castañeda-Martínez Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México
  • Jesús Ramírez-Ortega Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México
  • Clara Alvarado-Zamorano Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México



ICT, Higher Education, COVID-19, Data Science, Machine Leraning


Since the appearance of the Covid-19 pandemic, teachers are updating the school activities of the courses with the support of Information and Communication Technologies (ICTs). The aim of this mixed research is to analyze the students' perceptions about the use of technology in the Clinical Method course considering data science (machine learning) through linear regression and decision tree techniques. The participants are 77 students from the Faculty of Psychology who took the Clinical Method course at the National Autonomous University of Mexico during the 2020 school year. The results of the machine learning technique indicate that the use of Zoom, Moodle, audios and Padlet during the educational process about observation and inquiry in Clinical Psychology positively influence the assimilation of knowledge and motivation of the students. Likewise, data science identifies 8 predictive models about the use of these technological tools in the educational process through the decision tree technique. In conclusion, ICTs allow the construction of new educational spaces that facilitate the learning process from anywhere, allow the active participation of the students at any time and satisfy the educational demand during the Covid-19 pandemic.

Author Biography

Ricardo-Adán Salas-Rueda, Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México

Doctor en Diseño de Nuevas Tecnologías. Investigador de tiempo completo en el Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México.

Maestro en Administración e Ingeniero en Sistemas Electrónicos. Investigador nacional SNI nivel 1 (Conacyt) durante el periodo 2019-2021 y Candidato SNI durante el periodo 2016-2018.



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