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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
Li, Kam Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2023
Purpose: This paper aims to present a comprehensive overview of the patterns and trends of publications on artificial intelligence (AI) in personalised learning. It addresses the need to investigate the intellectual structure and development of this area in view of the growing amount of related research and practices. Design/methodology/approach:…
Descriptors: Artificial Intelligence, Individualized Instruction, Technology Uses in Education, Bibliometrics
Li, Kam Cheong; Wong, Billy Tak-ming – Journal of Computing in Higher Education, 2023
This paper reports a comprehensive review of literature on personalised learning in STEM and STEAM (or STE(A)M) education, which involves the disciplinary integration of Science, Technology, Engineering, and Mathematics, as well as Arts. The review covered the contexts of STE(A)M education where personalised learning was adopted, the objectives of…
Descriptors: Individualized Instruction, STEM Education, Art Education, Educational Objectives
Download full textTai Trong Bui; Son Truong Nguyen – Online Submission, 2023
This study addresses a gap in the literature regarding the implementation of digital strategies in educational institutions, particularly universities. Despite significant advancements in the development of digital strategies, there remains a lack of commitment and vision for their effective implementation. This study systematically reviewed the…
Descriptors: Meta Analysis, Educational Change, Teaching Methods, Learning Processes
Blumenstein, Marion – Journal of Learning Analytics, 2020
The field of learning analytics (LA) has seen a gradual shift from purely data-driven approaches to more holistic views of improving student learning outcomes through data-informed learning design (LD). Despite the growing potential of LA in higher education (HE), the benefits are not yet convincing to the practitioner, in particular aspects of…
Descriptors: Learning Analytics, Instructional Design, Effect Size, Higher Education
Michelle M. Neumann; Jason L. Anthony; Noé A. Erazo; David L. Neumann – Grantee Submission, 2019
The framework and tools used for classroom assessment can have significant impacts on teacher practices and student achievement. Getting assessment right is an important component in creating positive learning experiences and academic success. Recent government reports (e.g., United States, Australia) call for the development of systems that use…
Descriptors: Early Childhood Education, Futures (of Society), Educational Assessment, Evaluation Methods
