A framework for designing learning analytics information systems

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Abstract

Learning analytics offers new opportunities in higher education, yet the design and development of educational data analytics are facing several challenges. There is a paucity of research and guidance supporting researchers and developers when it comes to designing, developing, and implementing learning analytics information systems in higher education. Hence, this study proposes a comprehensive conceptual framework for designing learning analytics information systems incorporating both computational and educational aspects. The framework provides systematic support for learning analytics researchers and designers. It is constructed based on the process and critical dimensions of learning analytics and instructional systems design. By applying the framework to analyze a previously published study, we provide a better understanding of its key qualities. Furthermore, the application of the framework to design a new learning analytics information system provides forward engineering support.

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APA

Nguyen, A., Wandabwa, H., Rasco, A., & Le, A. L. (2021). A framework for designing learning analytics information systems. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2020-January, pp. 4–13). IEEE Computer Society. https://doi.org/10.24251/hicss.2021.002

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