Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment

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DOI:

https://doi.org/10.3991/ijet.v16i01.16325

Keywords:

concept mapping, learning analytics, learning outcomes, non-human interaction, student success in online learning

Abstract


The application of online learning has increased significantly, recently. One of the key successes in online learning is student interactions. An active learning strategy would engage the students to interact with the course or to get involved in the learning process. The objective of this research was to predict which one of the student activities that would improve the learning outcome of the students? All the activities are related to non-human interaction. One of the activities is concept mapping. All the students’ activities in online learning were stored in LMS and the data generated as a learning analytics. A linear regression method was used to analyze the data. This research confirmed that working on exercises by using concept mapping yields significant results in improving the learning outcome of students.

Author Biographies

Saida Ulfa, State University of Malang, Indonesia

Saida Ulfa is a lecturer of Educational Technology Department, Faculty of Education, State University of Malang, Indonesia. She is also a member of Center of Excellence PUI-PT Disruptive Learning Innovation, State University of Malang. She received her Master of Education and Doctor of Philosophy from Saga University Japan in 2005 and 2009, respectively.

Izzul Fatawi, Islamic Institute of Nurul Hakim, Lombok Barat, Indonesia

Izzul Fatawi is a lecturer of Tarbiyah Department, Faculty of Education, Islamic Institute of Nurul Hakim, Lombok, Indonesia. He received his Master of Education from UIN Sunan Ampel Surabaya in 2011 and completed his doctoral degree in 2020 from Educational Technology Department, Faculty of Education, State University of Malang, Indonesia. Currently, he is a vice rector for academic affairs at Islamic State Institute of Nurul Hakim, Lombok, Indonesia.

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Published

2021-01-12

How to Cite

Ulfa, S., & Fatawi, I. (2021). Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment. International Journal of Emerging Technologies in Learning (iJET), 16(01), pp. 4–17. https://doi.org/10.3991/ijet.v16i01.16325

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Papers