期刊名称：Online Journal of Communication and Media Technologies
电子版ISSN：1986-3497
出版年度：2022
卷号：12
期号：1
DOI：10.30935/ojcmt/11305
语种：English
出版社：Online Journal of Communication and Media Technologies
摘要：During the COVID-19 pandemic, Mexican universities incorporated technological tools to update the activities of the courses under the distance modality. This quantitative research analyzes the teachers' perception about Collaborative Virtual Walls (CVWs) and Massive Open Online Courses (MOOCs) through data science. The participants are 54 professors from the National Autonomous University of Mexico who completed the International Diploma “Innovation in University Teaching 2021”. The results of machine learning indicate that CVWs and MOOCs positively influence the learning and participation of the students. Likewise, the decision tree technique identifies 4 predictive models about these technological tools. This study recommends the incorporation of ICTs in the educational field because teachers can organize and carry out creative activities under the distance modality. Even universities can include in their strategic planning the incorporation of CVWs and MOOCs in the educational process. The limitations of this research are the sample and analysis about the perception of the teachers in a Mexican university. Therefore, future research can analyze CVWs and MOOCs considering the development of skills and satisfaction of the students in the middle schools, high schools and universities. In conclusion, teachers rely on technological advances such as CVWs and MOOCs to create new school activities under the distance modality and improve the teaching-learning conditions during the COVID-19 pandemic.
