Big data has changed the approach in designing an e-Learning. When students interact with e-Learning content, automatically generating data, we can collect and trace their learning tracks. The data is processed and analyzed, then used to understand the behavioral characteristics of the user or student to enable a personalized learning experience. In this study, learning analytics dashboard was used to improve learning interaction which impacts the learning successfulness. Tests were conducted on 67 students in the Educational Technology Department of the State University of Malang and distributed questionnaires and then analyzed using descriptive methods. The result is that most of the students who take online learning using the learning analytics dashboard find it helpful to carry out self-evaluations of their interaction hence they can manage their learning. The results of the study showed that most participants agreed that LAD could provide information to them regarding their interactions with learning content (M = 4.15, SD = 0.557), learning environment (M = 4.13, SD = 0.457), as well as the participants could conduct problem identification during their learning process (M = 3.88, SD = 0.477).
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