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The Effectiveness of Learning Analytics for Identifying At-Risk Students in Higher Education
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Foster, Ed; Siddle, Rebecca – Assessment & Evaluation in Higher Education, 2020
In this article we investigate the effectiveness of learning analytics for identifying at-risk students in higher education institutions using data output from an in-situ learning analytics platform. Amongst other things, the platform generates 'no-engagement' alerts if students have not engaged with any of the data sources measured for 14…
Descriptors: Learning Analytics, At Risk Students, Identification, Higher Education
From Policy to Plans: Supporting Students during COVID-19
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Hurtt, Alexandria; Reed, Sherrie; Dykeman, Kramer; Luu, Justin – Policy Analysis for California Education, PACE, 2022
In the wake of COVID-19, the California legislature mandated that local educational agencies (LEAs) develop detailed Learning Continuity and Attendance Plans (LCPs) to address student learning and progress during the 2020-21 academic year. This brief summarizes results of an analysis of nearly 1,000 LCPs from public school districts across the…
Descriptors: COVID-19, Pandemics, Public Schools, Instruction
Policy and Planning in the Midst of Crisis: Supporting Student Learning during the COVID-19 Pandemic. Working Paper
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Hurtt, Alexandria; Reed, Sherrie; Dykeman, Kramer; Luu, Justin – Policy Analysis for California Education, PACE, 2022
As the COVID-19 crisis disrupted schooling, recovery efforts to ensure educational continuity in California included the adoption of Senate Bill 98, which mandated local educational agencies (LEAs) to complete Learning Continuity and Attendance Plans (LCPs). These plans act as critical snapshots of sensemaking in the midst of crisis; however,…
Descriptors: COVID-19, Pandemics, Public Schools, Instruction
The Use of an Online Learning and Teaching System for Monitoring Computer Aided Design Student Participation and Predicting Student Success
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Akhtar, S.; Warburton, S.; Xu, W. – International Journal of Technology and Design Education, 2017
In this paper we report on the use of a purpose built Computer Support Collaborative learning environment designed to support lab-based CAD teaching through the monitoring of student participation and identified predictors of success. This was carried out by analysing data from the interactive learning system and correlating student behaviour with…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Computer Assisted Instruction