Abstract
Data growth in the information era is changing commercial and scientific research. In educational settings, a key question to address is how to effectively use the massive and complex data to serve the teaching and learning optimization. Therefore, as an emerging data analysis technology, learning analytics increasingly draws more attention. This paper proposes a process model of learning analytics, reviews the research and challenges of multi-source educational data collection and storage, generalizes typical data analysis approaches, and elaborates on how to align learning analytics with pedagogical and organizational goals.
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Li, Y., Bao, H., Xu, C. (2017). Learning Analytics: Serving the Learning Process Design and Optimization. In: Lai, FQ., Lehman, J. (eds) Learning and Knowledge Analytics in Open Education. Springer, Cham. https://doi.org/10.1007/978-3-319-38956-1_4
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DOI: https://doi.org/10.1007/978-3-319-38956-1_4
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