Big data academic and learning analytics: Connecting the dots for academic excellence in higher education

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Higher education institutions (HEIs) are operating in an increasingly complex and competitive environment. As compared to traditional classrooms, teaching and learning become even more challenging in online settings where there are reduced teacher-to-student ratios, asynchronous interactions and more heterogeneity. The answer to this developing complex picture of the contemporary relationship between designers, instructors and users are “data.” Big data can help with academic and learning analytics to understand learners well and help designers and instructors develop shared understanding and shape the work of design.

Authors proposed big data academic and learning analytics enabled business value model to explain Big data Analytics (BDA) potential benefits and business value which can be obtained by developing such analytics capabilities in HEIs. The study provides HEIs with an all-inclusive understanding of BDA and gives insights on how it helps to transform HEIs.

Dr. Manisha Ketkar

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