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Type :article
Subject :L Education (General)
Main Author :Hairulliza Mohamad Judi
Additional Authors :Zanaton Iksan
Noraidah ‘Sahari @ Ashaari
Title :Engaging students in online data analytics learning: meaningful learning in higher education
Place of Production :Tanjong Malim
Publisher :Fakulti Sains dan Matematik
Year of Publication :2022
Corporate Name :Universiti Pendidikan Sultan Idris

Abstract : Universiti Pendidikan Sultan Idris
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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