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Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
Nyland, Rob; Croft, Benjamin; Jung, Eulho – Online Learning, 2021
Learning analytics is a recent innovation that holds promise for improving retention in fully online programs. However, only a few case studies exist to show models for and outcomes of the implementation of learning analytics systems. This paper reports on a learning analytics implementation in a fully online, multidisciplinary program designed…
Descriptors: Pilot Projects, Learning Analytics, Intervention, Barriers