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Direct linkWong, Billy Tak-ming; Li, Kam Cheong; Cheung, Simon K. S. – Journal of Computing in Higher Education, 2023
This paper presents an analysis of learning analytics practices which aimed to achieve personalised learning. It addresses the need for a systematic analysis of the increasing amount of practices of learning analytics which are targeted at personalised learning. The paper summarises and highlights the characteristics and trends in relevant…
Descriptors: Learning Analytics, Individualized Instruction, Context Effect, Stakeholders
Jelena Jovanovic; Andrew Zamecnik; Abhinava Barthakur; Shane Dawson – Education and Information Technologies, 2025
Higher education institutions are increasingly seeking ways to leverage the available educational data to make program and course quality improvements. The development of automated curriculum analytics can play a substantial role in this effort by bringing novel and timely insights into course and program quality. However, the adoption of…
Descriptors: Learning Analytics, Curriculum Evaluation, Evaluation Methods, Educational Objectives
Parkes, Sarah; Benkwitz, Adam; Bardy, Helen; Myler, Kerry; Peters, John – Higher Education Research and Development, 2020
Universities are now compelled to attend to metrics that (re)shape our conceptualisation of the student experience. New technologies such as learning analytics (LA) promise the ability to target personalised support to profiled 'at risk' students through mapping large-scale historic student engagement data such as attendance, library use, and…
Descriptors: Learning Analytics, Higher Education, Educational Objectives, Foreign Countries
