ABSTRACT
The education system is rapidly transforming into a technology-driven learning system, where the data provided by the system on the students’ behaviour in a course curriculum could provide a meaningful significance in the teaching-learning pedagogy. Learning analytics thus could help in collecting, processing, and analysing data. This chapter looks into the recent research activities done in developing and designing of learning analytics and presents a review on the various learning analytics tools and techniques involved in data mining and in student academic assessment.
This review emphasizes the use of learning analytics in the design of a teaching pedagogy to facilitate the development of 21st-century skills, such as collaboration, skilled communication, knowledge development, etc., among the learners. Various state-of-the-art technologies that are used in learning analytics such as data mining, IOT, social media mining, data analytics, etc., are reviewed thoroughly throughout the chapter, and a gap in research is highlighted. The chapter finishes with plans for future research in the area of learning analytics in the environment of the e-classroom. This chapter proposes a conceptual framework to address the gap by combining computer vision and data analytics to use in learning analytics for e-classrooms.
