Improving Learning Motivation and Engagement of Students

Event Type: Workshop

Event Theme: Evidence-based Practice

Speaker: Prof. Bart Rienties (Professor of Learning Analytics at the Institute of Educational Technology at the Open University UK)

Date: 4 June 2019 (Tuesday)

Time: 7:00pm - 9:00pm

Venue: RLB502, Research Complex, HKSYU

Language: English



1) Refreshment will be provided. 
2) Free Admission.
3) Registration is not compulsory but recommended for seat-reservation and news update.


The impact of motivation of learners to engage with online discussions has been found to significantly influence active participation and engagement. As motivation is a multidimensional and multilevel construct, a wide variety of definitions and instruments are discussed and used in educational psychology research in order to understand the role of motivation on learning. Given the openness, flexibility and freedom of most blended and online collaborative settings, learners have (relatively) more autonomy to determine their learning actions in comparison to classroom settings. At the same time, given that in online collaborative settings it is (relatively) more difficult to provide immediate guidance, and rapid and appropriate feedback, creating an autonomy supported learning environment that provides sufficient guidance may not be straightforward (Giesbers, Rienties, Tempelaar, & Gijselaers, 2014; Hommes et al., 2012; Rienties, Tempelaar, Giesbers, Segers, & Gijselaers, 2014; Rienties, Tempelaar, Van den Bossche, Gijselaers, & Segers, 2009; Tempelaar, Rienties, & Nguyen, 2018; Tempelaar, Wosnitza, et al., 2013). In this interactive session I will share my lessons of how I used the concept of motivation to design, redesign, and evaluate the effectiveness of interventions, and how motivation can help to understand human behaviour.


About the Presenter

Dr. Bart Rienties is Professor of Learning Analytics at the Institute of Educational Technology at the Open University UK. He is programme director Learning Analytics within IET and head of Data Wranglers, whereby he leads of group of learning analytics academics who conduct evidence-based research and sense making of Big Data at the OU. As educational psychologist, he conducts multi-disciplinary research on work-based and collaborative learning environments and focuses on the role of social interaction in learning, which is published in leading academic journals and books. His primary research interests are focussed on Learning Analytics, Computer-Supported Collaborative Learning, and the role of motivation in learning. Furthermore, Bart is interested in broader internationalisation aspects of higher education. He has successfully led a range of institutional/national/European projects and received a range of awards for his educational innovation projects. More info at

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