Photo of Bart Rienties

Prof Bart Rienties

Professor in Learning Analytics

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.







  • Tempelaar, Dirk T.; Rienties, Bart; Giesbers, Bas and van der Loeff, Sybrand Schim (). Cultural differences in learning dispositions. In: Van den Bossche, Piet; Gijselaers, Wim H. and Milter, Richard G. eds. Facilitating Learning in the 21st Century: Leading through Technology, Diversity and Authenticity Dordrecht: Springer, pp. 3-30.



  • Tempelaar, Dirk T.; Rienties, Bart; Kaper, Wolter; Giesbers, Bas; Schim van der Loeff, Sybrand; van Gastel, Leendert; van de Vrie, Evert; van der Kooij, Henk and Cuypers, Hans (). Mathematics bridging education using an online, adaptive e-tutorial. In: Juan, Angel A.; Huertas, Maria A.; Trenholm, Sven and Steegmann, Cristina eds. Teaching Mathematics Online: Emergent Technologies and Methodologies Hershey, PA: IGI, pp. 167-186.






EVALUATE (Evaluating and Upscaling Telecollaborative Teacher Education) 2017 - 2019
Facilitating equitable access and quality education for development: South African International Distance Education 2016 - 2019
LFIA (Learning from Incidents and Implementing Action) 2016 - 2019
OWL (Open World Learning) 2015 - 2020


A longitudinal mixed method study of learning gain: applying Affective-Behaviour Cognition framework at 3 institutions 2015 - 2018
BNUFS (Data-informed Learning Design for Future Schools) 2017
Improving social capital for learning 2015 - 2016
Project Logo LACE (Learning Analytics Community Exchange) 2014 - 2016
LAEP (The implications and opportunities of learning analytics for European educational policy) 2015 - 2016

England Seeks to Measure Learning

Inside Higher Ed | 9th September 2016

Interview with Bart Rienties

Times Higher Education | 29th March 2018

OU algorithm for monitoring online student engagement

Financial Times | 24th July 2015

Student satisfaction ‘unrelated’ to academic performance

Times Higher Education | 12th February 2018

Teaching intelligence: how to use learning analytics

Times Higher Education | 15th November 2018

Universities are tracking their students. Is it clever or creepy?

The Guardian | 3rd August 2016

Weighing up the benefits of learning

Times Higher Education | 1st February 2018



9th November 2018


25th October 2018


5th September 2018

Predictive learning analytics

25th HUCMBS conference University of Essex

Invited Talk

22nd November 2017


30th August 2017


27th August 2017


EARLI 2017 Tampere, Finland


17th July 2017

Invited Talk

22nd March 2017

OEEE Q&A with Learning Analytics

OEEE Q&A with Learning Analytics Invited session at Open Education Europa


13th October 2016

The power of learning analytics: a need to move towards new methodologies in education?

Vrije Universiteit Amsterdam Learning analytics conference Amsterdam, The Netherlands


1st January 2016


Best Full Paper HCI 2017

Best paper award for Nguyen, Q., Rienties, B., & Toetenel, L. (2017). Mixing and Matching Learning Design and Learning Analytics. Paper presented at the HCI Conference, Vancouver, British Columbia, Canada: Springer, pp. 302-316.

Best full paper ICSE 2015

Best paper award for Tempelaar, D. T., Rienties, B., Giesbers, B. (2015). Stability and sensitivity of Learning Analytics based prediction models. Proceedings of 7th International conference on Computer Supported Education, Lisbon, Portugal, pp. 156-166.

Best Full Paper LAK 2018

Best paper award for Nguyen, Q., Huptych, M., Rienties, B. (2018). Linking students’ timing of engagement to learning design and academic performance: A longitudinal study. Paper presented at the 8th International Conference on Learning Analytics & Knowledge (LAK’18), Sydney, Australia, pp. 141-150

Open Education Excellence for Leverhulme Open World Learning PhD programme

Award for Open Education Excellence for Leverhulme Open World Learning PhD programme, Open Education Consortium

Paul Webley Award for Innovation in International Education for UKCISA project STRIDE

Social Support through Transitions: A Student-Led and Cross-Institutional Investigation of International Postgraduate Student Experiences

External Appointments