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Kay, Ellie; Bostock, Paul – Student Success, 2023
Providing timely nudges to students has been shown to improve engagement and persistence in tertiary education. However, many studies focus on small-scale pilots rather than institution-wide initiatives. This article assesses the impact of a pan-institution Early Alert System at the University of Canterbury that utilises nudging when students are…
Descriptors: At Risk Students, Learner Engagement, Undergraduate Students, Handheld Devices
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Herodotou, Christothea; Naydenova, Galina; Boroowa, Avi; Gilmour, Alison; Rienties, Bart – Journal of Learning Analytics, 2020
Despite the potential of Predictive Learning Analytics (PLAs) to identify students at risk of failing their studies, research demonstrating effective application of PLAs to higher education is relatively limited. The aims of this study are: (1) to identify whether and how PLAs can inform the design of motivational interventions; and (2) to capture…
Descriptors: Learning Analytics, Predictive Measurement, Student Motivation, Intervention
Terrence Narinesingh – Online Submission, 2023
The Strategic Universal Design for Learning Course Development (S-UDLCD™) Faculty & Institutional Evaluation System (2023) is a research-based framework for assessing faculty performance, enhancing student retention, and improving institutional effectiveness. Unlike traditional models, this system integrates predictive analytics, student…
Descriptors: Institutional Evaluation, Evaluation Methods, Pilot Projects, Access to Education