Abstract
Digital technologies have become immersed in education systems and the stakeholders have discovered a pervasive need to reform existing learning and teaching practices. Among the emerging educational digital technologies, learning analytics create a disruptive potential as it enables the power of educational decision support, real-time feedback and future prediction. Until today, the field of learning analytics is rapidly evolving, but still immature and especially low on ontological insights. Little guidance is available for educational designers and researchers when it comes to studies applied learning analytics as a method. Hence, this study offers a well-structured multi-layered taxonomy of learning analytics applications for deeper understanding of learning analytics.
Recommended Citation
Nguyen, Andy; Gardner, Lesley A.; and Sheridan, Don, "A MULTI-LAYERED TAXONOMY OF LEARNING ANALYTICS APPLICATIONS" (2017). PACIS 2017 Proceedings. 54.
https://aisel.aisnet.org/pacis2017/54