Abstract
Open learning analytics (OLA) aims to meet diversified needs for insights into different stakeholders’ efforts to improve learning and learning contexts integrating heterogeneous learning analytics techniques. From an abstract point of view, OLA aligns well with the ideas of open and distance education institutions, of which Shanghai Open University (SOU) is a learning Chinese representative. The paper reports on the design of an OLA framework for SOU, based on different users’ service demands and the diverse sources of data and multiple platforms in use at the university. The proposed architecture is based on a discussion of the general characteristics of OLA architecture. The final model is achieved through an iterative development method.
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References
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Acknowledgements
This paper is supported by China’s National General Project granted by China National Office for Education Sciences Planning (Grant No. BCA160053). The Construction and Application of Online Learners’ Persona based on Big Data Analysis.
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Xiao, J., Hoel, T., Li, X. (2019). Constructing an Open Learning Analytics Architecture for an Open University. In: Scheffel, M., Broisin, J., Pammer-Schindler, V., Ioannou, A., Schneider, J. (eds) Transforming Learning with Meaningful Technologies. EC-TEL 2019. Lecture Notes in Computer Science(), vol 11722. Springer, Cham. https://doi.org/10.1007/978-3-030-29736-7_50
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DOI: https://doi.org/10.1007/978-3-030-29736-7_50
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