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Ean Teng Khor; Dave Darshan – International Journal of Information and Learning Technology, 2024
Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
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Chamizo-Gonzalez, Julian; Cano-Montero, Elisa Isabel; Urquia-Grande, Elena; Muñoz-Colomina, Clara Isabel – International Journal of Information and Learning Technology, 2015
Purpose: The purpose of this paper are twofold. First, to disclose whether accounting students who participate more in online activities proposed by the teacher achieve better learning outcomes. Second, to identify which virtual learning activities achieve improved outcomes. Design/methodology/approach: Data mining is a computer-based tool devoted…
Descriptors: Outcomes of Education, Accounting, Learning Analytics, Teaching Methods