Embracing the Data-Driven Paradigm: A Comprehensive Framework for Effective Teaching and Learning in Higher Education
Issue: Vol.4 No.12 Special Issue Article 17 pp.206-218
DOI: https://doi.org/10.38159/ehass.202341218 | Published online 15th January, 2024
© 2023 The Author(s). This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).
The present study investigated the pragmatic implementation and efficacy of data-driven instructional approaches. The complete framework is underpinned by stated objectives, a robust data infrastructure, adaptive practises, and ongoing collaboration. The present study adopted a mixed-methods research design, incorporating qualitative interviews with both academics and students, alongside quantitative evaluations of outcomes from Learning Management Systems (LMS). The objective of this study was to examine the complex correlation between instructional practises and data analytics. This study provided evidence of the potential of data-driven methodologies to significantly enhance customised learning and inform timely pedagogical decisions. Nevertheless, the efficacy of these interventions is contingent upon comprehensive training, endorsement from relevant parties, and ongoing enhancement. This study contributes to the current scholarly discourse on the correlation between data analytics and teaching. The argument posits the importance of a strategic integration that considers both technological and human-centric considerations.
Keywords: Data-driven Pedagogy, Data Literacy, Learning Management Systems
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Percy Sepeng is a full Professor of Mathematics Education at the Department of Natural Sciences Teaching, Sol Plaatje University, Kimberley, South Africa. He holds a PhD from the Nelson Mandela University. He is a policy analyst and a member of both AMESA and SAARMSTE.
Matshidiso Mirriam Moleko is a Senior Lecturer at the University of South Africa. She is a member of AMESA, SAARMSTE and SAERA.
Sepeng, Percy & Moleko, Matshidiso M. “Embracing the Data-Driven Paradigm: A Comprehensive Framework for Effective Teaching and Learning in Higher Education.” E-Journal of Humanities, Arts and Social Sciences 4, no.12 Special Issue (2023): 206-218. https://doi.org/10.38159/ehass.202341218
© 2023 The Author(s). Published and Maintained by Noyam Journals. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).