The integration of educational technology in higher education institutions (HEIs) has led to a significant increase in digital learning environments, particularly through platforms such as Learning Management Systems (LMS). These systems generate large volumes of student data, giving rise to the field of Learning Analytics (LA), which aims to enhance teaching, learning, and institutional decision-making through data-driven insights. Despite global interest in LA, limited comparative research exists between technologically advanced contexts such as Japan and developing systems like South Africa. This scoping review explores trends, themes, and gaps in learning analytics research within higher education across the two countries. Following the PRISMA-ScR guidelines and using databases including Scopus, Web of Science, ERIC, and ScienceDirect, a total of 1,245 studies were initially retrieved. After applying rigorous inclusion and exclusion criteria, 43 studies were selected for in-depth analysis. The review employed VOSviewer for bibliometric mapping and thematic clustering, offering visual insight into co-authorship patterns, research density, and keyword co-occurrence. Findings reveal that Japan demonstrates more mature and systematised implementation of LA, with emphasis on institutional dashboards, predictive analytics, and policy integration. In contrast, South African research, though growing, remains fragmented, often focused on LMS-generated data to support student retention and performance interventions. The review concludes by recommending stronger institutional support, cross-national research partnerships, capacity building, and context-specific frameworks for LA adoption. Emphasis is also placed on aligning LA initiatives with Sustainable Development Goals (SDGs), notably SDG 4, 9 and 17.

Authors:
Abdul Feroz Maluleke, Tshwane University of Technology, South Africa

About the Presenter(s)
Mr AF Maluleke is a lecturer at the Tshwane University of Technology, South Africa
My current study focuses on the benefits and challenges of AI integration in African Higher Education.

See this presentation on the full schedule – Thursday Schedule

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