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Implementing Learning Analytics At-scale: Lessons Learned (so far) at the National Open University of Nigeria (NOUN)

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Abstract
Evidence suggest that collecting, analysing and using student learning data (e.g., online engagements, submission of assignments, scores, etc.) in combination with other data such as students' demographic and socio-economic data can assist institutions to not only support students with more appropriate but also individualised support, but also assist adjustments in pedagogical strategies, operational planning and resource allocation. Implementing learning analytics (LA) and realising its potential in an African open distance learning institution however raises several issues not known in the implementations of learning analytics in the Global North, such as, but not limited to the amount of analogue or non-digital data that exists, about what data the institution has access to, where it is located, who has access to it under what circumstances, etc. This paper presents lessons learned in the implementation of learning analytics at the National Open University of Nigeria (NOUN) since 2023. Some of the lessons this paper will report on include, but are not limited to (1) the need for a data audit; (2) access to quality, pedagogically significant data; (3) critical appraisal of current pedagogical assumptions and practices; and (4) the need for a critical assessment of capacity - both in terms of infrastructure, competencies, programmes and human resources. PCF11 Sub-Theme: Gender, Technology and Innovation in Open Education Paper ID: 4428
Country
Nigeria
Region
Africa
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Date
2025-09
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Commonwealth of Learning (COL)
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