Engaging Students in Online Data Analytics Learning: Meaningful Learning in Higher Education


  • Hairulliza Mohamad Judi Software Technology and Management Research Centre, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, MALAYSIA
  • Zanaton Iksan Centre of STEM Enculturation, Faculty of Education, Universiti Kebangsaan Malaysia, 43600 Bangi, MALAYSIA
  • Noraidah ‘Sahari @ Ashaari Software Technology and Management Research Centre, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, MALAYSIA




online learning, meaningful learning, engagement


The implementation of full online teaching and learning activities in Higher Educational institutions invites tangible challenges to sustain students’ interest and engagement in the course, throughout the semester. Meaningful learning encourages students to develop concepts constructively in active learning that promote the integration of knowledge in daily life and potential career applications. Meaningful learning also applies richer application capabilities in synchronous or asynchronous learning systems. Visualization is a technic to support concept description and imagination and provide an additional effective layer for learning towards increased motivation. In this paper, a discussion of the active involvement of students using visualization in online data analytics courses at the tertiary level is presented. Based on functional context principles of visualized course content, recommendations to practitioners are discussed.


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How to Cite

Mohamad Judi, H., Iksan, Z., & ‘Sahari @ Ashaari, N. (2022). Engaging Students in Online Data Analytics Learning: Meaningful Learning in Higher Education. EDUCATUM Journal of Science, Mathematics and Technology, 9(2), 16–22. https://doi.org/10.37134/ejsmt.vol9.2.3.2022