Fostering Students’ Self-Regulated Learning to Support Study Success: A Learning Analytics Approach
Date and time: 20 April, 15:00 – 16:00 CEST (UTC +2)
Speaker: Olga Viberg, KTH Royal Institute of Technology
Title: Fostering Students’ Self-Regulated Learning to Support Study Success: A Learning Analytics Approach
Meeting ID: 695 6088 7455
Watch the recorded presentation:
Abstract: Being able to self-regulate one’s own learning is critical for academic success, especially in increasingly emerged online educational settings worldwide. Self-regulated learning (SRL) is a transferable lifelong learning skill that can also guide students’ future paths to study and work. It is furthermore associated with students’ wellbeing. Still, SRL is challenging and difficult for students, because many of them are not capable of accurately calibrating their own learning processes. However, SRL can be taught and learned.
When developing relevant technology-supported mechanisms, we should take the affordances of learning analytics that refers to the measurement, collection, analysis and reporting of data about learners and their learning environment. Learning analytics for SRL can help us to understand the SRL process and based on this understanding, further develop relevant supports tools to assist students in their self-study across learning settings. This presentation will focus on the evidence and further potential of learning analytics combined with the use of artificial intelligence and mobile technologies to measure students’ evolving SRL process and to offer theoretically grounded personalized support for enhancing students’ self-regulation in their learning process. Special attention will be also paid to the issues regarding the protection of students’ privacy when designing adaptive learning tools and evaluating their use.
Bio: Olga Viberg is an Associate Professor in Media Technology with a specialization in Technology-Enhanced Learning, Department of Media Technology and Interaction Design, KTH Royal Institute of Technology, Stockholm, Sweden. She received her PhD in Informatics from Örebro University (Sweden). Her fields of expertise include technology-enhanced learning, self-regulated learning, learning analytics, mobile learning, learning design, and design science research in higher education. Her current research includes a focus on learning analytics in higher education, the design and application of mobile technology in education, the integration of formal and informal learning environments, design for learning, and a particular focus on designing technology-enhanced support for fostering students’ self-regulated learning strategies and skills needed for their study success, especially in online learning settings. Her work has been published in many high ranked referred journals and conferences.
Viberg is a main organiser of the next Nordic Learning Analytics Institute to be held at KTH in 2021 and the co-ordinator of the cross-national Nordic PhD course, Introduction to Learning Analytics (Spring 2021). She is the invited keynote speaker for the next Global Engineering Education Conference in 2021.