Learning Analytics for Student Success at University: Trends and Dilemmas

Abstract

This chapter examines the application of learning analytics techniques within higher education – learning analytics – and its application in supporting “student success.” Learning analytics focuses on the practice of using data about students to inform interventions aimed at improving outcomes (e.g., retention, graduation, and learning outcomes), and it is a rapidly growing area of educational practice within higher education institutions (HEIs). This growth is spurring a number of commercial developments, with many companies offering “analytics solutions” to universities across the world. We review the origins of learning analytics and identify drives for its growth. We then discuss some possible implications for this growth, which focus on the ethics of data collection, use and sharing.

Citation

Mackney, S. and Shields, R. (2019), "Learning Analytics for Student Success at University: Trends and Dilemmas", Jules, T.D. and Salajan, F.D. (Ed.) The Educational Intelligent Economy: Big Data, Artificial Intelligence, Machine Learning and the Internet of Things in Education (International Perspectives on Education and Society, Vol. 38), Emerald Publishing Limited, Leeds, pp. 251-268. https://doi.org/10.1108/S1479-367920190000038015