LECTURE ’ARTIFICIAL INTELLIGENCE AND LEARNING ANALYTICS: OPPORTUNITIES AND CHALLENGES’

As part of the lecture series ’Artificial Intelligence’, Professor Jelena Jovanović will give a lecture titled ‘Artificial Intelligence and Learning Analytics: Opportunities and Challenges’ at the SASA Grand Hall, on Tuesday, 7 November, at 11 a.m.

Learning analytics represents an interdisciplinary research and practical field which uses numerous and disparate computational methods and techniques, including methods and techniques of Artificial Intelligence with the aim of a deeper and more extensive understanding of the study process and the context in which it unfolds, as well as advancement of studying, both related to study results and the overall study experience. Ever since it was launched in 2011, numerous significant research and practical contributions have been made, but various new issues have been raised and multiple new challenges noted. These issues and challenges are not unique to the learning analytics field, but generally to the application of advanced technologies, particularly Artificial Intelligence technologies in the sphere of studying and education.

This lecture aims to give an overview of both accomplishments in the field of learning analytics and open points and challenges which are not purely technical, but often in the domain of ethics, privacy and trust issues.

Jelena Jovanović, PhD, is a professor at the Department of Software Engineering at the Faculty of Organizational Sciences of the University of Belgrade. She is a visiting professor at the Centre for the Science of Learning and Technology of the University of Bergen (Norway) and the Centre for Learning Analytics at Monash, University of Monash in Australia. Her current research focuses on the use of computational approaches, including statistical methods and techniques, as well as methods and techniques of machine learning, network analysis, and text analytics, for the purpose of better understanding and improving learning processes, primarily self-regulated learning in the context of higher education. She has published numerous papers in high-ranking international journals. She is an associate editor of IEEE Transactions on Learning Technologies and a member of the editorial board of the Journal of Learning Analytics, Journal of Educational Data Mining, and Computers & Education: Artificial Intelligence.

A live stream is available at LIVE STREAMING

The footage of previously held lectures within the Artificial Intelligence lecture series is available at  https://www.sanu.ac.rs/snimci-predavanja-iz-ciklusa-vestacka-inteligencija/