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Direct linkMubarak, Ahmed Ali; Ahmed, Salah A. M.; Cao, Han – Interactive Learning Environments, 2023
In this study, we propose a MOOC Analytic Statistical Visual model (MOOC-ASV) to explore students' engagement in MOOC courses and predict their performance on the basis of their behaviors logged as big data in MOOC platforms. The model has multifunctions, which performs on visually analyzing learners' data by state-of-the-art techniques. The model…
Descriptors: MOOCs, Learner Engagement, Performance, Student Behavior
Macarini, Luiz Antonio; Lemos dos Santos, Henrique; Cechinel, Cristian; Ochoa, Xavier; Rodés, Virgínia; Pérez Casas, Alén; Lucas, Pedro Pablo; Maya, Ricardo; Alonso, Guillermo Ettlin; Díaz, Patricia – Interactive Learning Environments, 2020
The present work describes the challenges faced during the development of a countrywide Learning Analytics study and tool focused on tracking and understanding the trajectories of Uruguayan students during their first three years of secondary education. Due to the large scale of the project, which covers an entire national educational system,…
Descriptors: Program Implementation, Foreign Countries, Learning Analytics, Secondary School Students
