TEACHERS' PERCEPTIONS ABOUT THE USE OF LEARNING MANAGEMENT SYSTEMS DURING THE COVID-19 PANDEMIC CONSIDERING DATA SCIENCE

Year 2024, Volume: 25 Issue: 1, 260 - 272, 01.01.2024

Ricardo Adán Salas-rueda Clara Alvarado-zamorano

https://doi.org/10.17718/tojde.1090350

Abstract

Technological advances such as Learning Management System (LMS) are changing the teaching-learning conditions, organization of school activities and functions of educators. In particular, the use of LMS in the educational field is necessary due to the appearance of the SARS-CoV-2 virus. This quantitative research analyzes the teachers' perception about the use of LMS during the COVID-19 pandemic considering data science. The sample is 115 teachers from the National Autonomous University of Mexico. These teachers took the “Classroom of the Future 2020” Diploma in order to create new educational spaces. The results of the machine learning technique indicate that the performance of the school activities in LMS positively influences the learning process, motivation and participation of the students during the COVID-19 pandemic. Also, the decision tree technique identifies three predictive models about the use of this technological tool in the educational field considering the academic level and sex of the teachers. In conclusion, educators can improve the learning conditions, organize creative activities inside and outside the classroom, achieve the innovation in the educational context and build virtual spaces through LMS.

Keywords

Learning Management System, teaching, learning, data science, COVID-19

Thanks

This work was supported by UNAM-DGAPA-PAPIME (Project Support Program to Innovate and Improve Education): PE106420 (El Aula del Futuro del CCH Vallejo), PE102920 (El Aula del Futuro del Instituto de Geofísica), PE106419 (El Aula del Futuro: de la Escuela Nacional Preparatoria 7), PE314819 (SUAyED de la Facultad de Filosofía y Letras), PE306619 (El Aula del Futuro: SUA de la Facultad de Psicología) and PE104720 (El Aula del Futuro del Instituto de Geología). Likewise, the support provided by the National School of Social Work and Faculty of Arts and Design is appreciated.

References

• Aldiab, A., Chowdhury, H., Kootsookos, A., Alam, f., & Allhibi, H. (2019). Utilization of Learning Management Systems (LMSs) in higher education system: A case review for Saudi Arabia. Energy Procedia, 160, 731-737.
• Alhosban, F. & Ismaile, S. (2018). Perceived Promoters of and Barriers to Use of a Learning Management System in an Undergraduate Nursing Program. International Journal of Emerging Technologies in Learning, 13(2), 226-233.
• Alserhan, S., & Yahaya, N. (2021). Teachers’ Perspective on Personal Learning Environments via Learning Management Systems Platform. International Journal of Emerging Technologies in Learning, 16(24), 57-73.
• Bervell, B., Nyagorme, P., & Arkorful, V. (2020). LMS-Enabled Blended Learning Use Intentions among Distance Education Tutors: Examining the Mediation Role of Attitude Based on Technology-Related Stimulus-Response Theoretical Framework. Contemporary Educational Technology, 12(2), ep273.
• Beyatli, O., Altinay, F., & Altinay, Z. (2018). Evaluation of the Users of Edmodo Content Management System in Secondary Education. EURASIA Journal of Mathematics, Science and Technology Education, 14(7), 3191-3195.
• Capacho, J., Jimeno, M., & Salazar, A. (2019). Operational Indicators of the Learning Management System in Virtual Spaces Supported by ICT. Turkish Online Journal of Distance Education, 20(3), 103-118.
• Castillo-Cuesta, L., Ochoa-Cueva, C., & Cabrera-Solano, P. (2022). Virtual Workspaces for Enhancing Collaborative Work in EFL Learning: A Case Study in Higher Education. International Journal of Emerging Technologies in Learning, 17(2), 4-18.
• Cheah, C. S. (2020). Factors Contributing to the Difficulties in Teaching and Learning of Computer Programming: A Literature Review. Contemporary Educational Technology, 12(2), ep272.
• Fathema, N. & Akanda, M. H. (2020). Effects of instructors’ academic disciplines and prior experience with learning management systems: A study about the use of Canvas. Australasian Journal of Educational Technology, 36(4), 113-125.
• Gibeault, M. J. (2018). Organization of Materials and Accessing the Library in Blackboard: A Learner-centered Usability Study.The Journal of Academic Librarianship, 44(2), 190-195.
• Hanafi, Y., Murtadho, N., Ikhsan, M. A., & Diyana, T. N. (2020). Reinforcing Public University Student’s Worship Education by Developing and Implementing Mobile- Learning Management System in the ADDIE Instructional Design Model. International Journal of Interactive Mobile Technologies, 14(2), 215-240.
• Juhanak, L., Zounek, J., & Rohlíkova, L. (2019). Using process mining to analyze students' quiz-taking behavior patterns in a learning management system. Computers in Human Behavior, 92, 496-506.
• Kadioglu, M., Tacgin, Z., & Sahin, N. (2020). Instructional Design and Material Development Progress to eLearning Environments: A Sample of Obstetrical Nursing Education. Contemporary Educational Technology, 12(1), ep265.
• Koh, J. H. L. & Kan, R. Y. P. (2020). Perceptions of learning management system quality, satisfaction, and usage: Differences among students of the arts. Australasian Journal of Educational Technology, 36(3), 26-40.
• Lakarnchua, O., Balme, S., & Matthews, A. (2020). Insights from the implementation of a flipped classroom approach with the use of a commercial learning management system. Turkish Online Journal of Distance Education, 21(3), 63-76.
• Liu, H. (2016). An Analysis on Blended Learning Pattern Based on Blackboard Network Platform. International Journal of Emerging Technologies in Learning, 11(9), 4-8.
• Muñoz-Arteaga, J., Muñoz-Zavala, A. E., & Cardona-Reyes, H. (2022). Challenges of inclusive teaching at elementary school level during COVID-19. Campus Virtuales, 11(1), 125-135.
• Nieuwoudt, J. E. (2020). Investigating synchronous and asynchronous class attendance as predictors of academic success in online education. Australasian Journal of Educational Technology, 36(3), 15-25.
• Ohliati, J. & Abbas, B. S. (2019). Measuring Students Satisfaction in Using Learning Management System. International Journal of Emerging Technologies in Learning, 14(4), 180-189.
• Oinas, S. E., Thuneberg, H., Vainikainen, M. P., & Hotulainen, R. (2020). Technology-enhanced Feedback Profiles and their Associations with Learning and Academic Well-being Indicators in Basic Education. Contemporary Educational Technology, 12(2), ep271.
• Ozkan, U., Ci̇gdem, H., & Erdogan, T. (2020). Artificial neural network approach to predict lms acceptance of vocational school students. Turkish Online Journal of Distance Education, 21(3), 156-169.
• Moonsamy, D. & Govender, I. (2018). Use of Blackboard Learning Management System: An Empirical Study of Staff Behavior at a South African University. EURASIA Journal of Mathematics, Science and Technology Education, 14(7), 3069-3082.
• Muñoz, A., Delgado, R., Rubio, E., Grilo, C., & Basto-Fernandes, V. (2017). Forum participation plugin for Moodle: Development and Discussion. Procedia Computer Science, 121, 982-989.
• Rashid, M., Guo, Q., & Babenko, O. (2020). The Influence of Students’ Perceptions of Learning Environment on Coping with Academic Challenges: A Structural Equation Modeling Study. Teaching and Learning in Medicine, 32(2), 204-217.
• Sabirova, F. M., Shurygin, V. Y., Deryagin, A. V., & Sahabiev, I. A. (2019). Historical and Biographical Approaches towards Teachers Training in Learning Physics Using Moodle LMS. EURASIA Journal of Mathematics, Science and Technology Education, 15(3), 1-8.
• Sánchez-González, M., & Castro-Higueras, A. (2022). Mentoring for university professors in the fase of the Covid-19: evaluation of a case. Campus Virtuales, 11(1), 181-200.
• Sezer, B. & Yilmaz, R. (2019). Learning management system acceptance scale (LMSAS): A validity and reliability study. Australasian Journal of Educational Technology, 35(3), 15-30.
• Ueda, H., Furukawa, M., Yamaji, k., & Nakamura, M. (2018). SCORMAdaptiveQuiz: Implementation of Adaptive e-Learning for Moodle. Procedia Computer Science, 126, 2261-2270.
• Wahyuni, S., Erman, E., Sudikan, S. Y., & Jatmiko, B. (2020). Edmodo-Based Interactive Teaching Materials as an Alternative Media for Science Learning to Improve Critical Thinking Skills of Junior High School Students. International Journal of Interactive Mobile Technologies, 14(9), 166-181. Wang, L. (2022). Influence of Teacher Behaviors on Student Activities in Information-Based Classroom Teaching. International Journal of Emerging Technologies in Learning, 17(2), 19-31.
• Xue, H. (2022). A New Integrated Teaching Mode for Labor Education Course Based on STEAM Education. International Journal of Emerging Technologies in Learning, 17(2), 128-142.
• Zain, N. M., Fadil, N. F., & Hadi, A. A. (2018). Learning Management System: An Experience and Perception Study from Medical Imaging Lecturers and Scholars in a Private University. International Journal of Interactive Mobile Technologies, 9, 174-180.
• Zanjani, N., Edwards, S. L., Nykvist, S. & Geva, S. (2017). The important elements of LMS design that affect user engagement with e-learning tools within LMSs in the higher education sector. Australasian Journal of Educational Technology, 33(1), 19-31.