Abstract
Over the years, the interest in learning analytics in technology-enhanced learning (TEL) is rapidly increasing. LA methods distribute a motion from data to investigation to action and learning. TEL’s topography is varying, and the same has to be mirrored in eventual LA for more productive learning experiences. In this chapter, we give an outline of the likelihood range instituted by LA. We suggest several promising directions for future LA research. These research instructions provide a large number of challenges to be resolved to apprehend LA’s overall capacity. This chapter provides remarkable contributions to LA’s research since it furnishes a strong base for LA and their connected methods and further establishes a sequence of challenges and guarantees research guidelines in this developing sector.
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K G, S., Kurni, M. (2021). Moving Forward. In: A Beginner’s Guide to Learning Analytics. Advances in Analytics for Learning and Teaching. Springer, Cham. https://doi.org/10.1007/978-3-030-70258-8_9
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