Dr Manolis Mavrikis is Reader in Learning Technologies with the University College London’s Knowledge Lab and leads the Masters in Educational Technology. Manolis is also one of the Editors of the British Journal of Educational Technologies. His work involves the use of Artificial Intelligence and analytics in support of classroom teaching. I found Manolis’s mention of ‘delegating’ tasks to AI to support student and the use of learning analytics for orchestrating teaching fascinating and I’m certain you will, too.
Interview: https://episodes.castos.com/onlinelearninglegends/023-Manolis-Mavrikis-Final.mp3 | recorded March 2019
Manolis’s online profile: https://iris.ucl.ac.uk/iris/browse/profile?upi=EMAVR27
Nominated works (free to access):
- Keynote for V Jornadas Iberoamericanas de Interacción Humano-Computador 2019 https://www.slideshare.net/manolismavrikis9/artificialintelligence-and-data-analytics-in-education
- Hennessy, S., Mavrikis, M., Girvan, C., Price, S., & Winters, N. (2019). BJET Editorial for the 50th Anniversary Volume in 2019: Looking back, reaching forward. British Journal of Educational Technology, 50(1), 5-11. doi:10.1111/bjet.12731
- Mavrikis M, Gutierrez-Santos S, Poulovassilis A (2016). Design and Evaluation of Teacher Assistance Tools for Exploratory Learning Environments. In: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge. ACM, New York, NY, USA, pp 168–172. https://dl.acm.org/citation.cfm?id=2883909 Also available from: https://core.ac.uk/download/pdf/42135118.pdf
- Mavrikis M, Grawemeyer B, Hansen A, Gutierrez-Santos S (2014). Exploring the Potential of Speech Recognition to Support Problem Solving and Reflection. In: Open Learning and Teaching in Educational Communities. Springer, Cham, pp 263–276. Also available from: http://www.italk2learn.eu/wp-content/uploads/2014/07/ECTEL-WOZ.pdf
- Hansen, A., Mavrikis, M., & Geraniou, E. (2016). Supporting teachers’ technological pedagogical content knowledge of fractions through co-designing a virtual manipulative. Journal of Mathematics Teacher Education, 19(2–3), 205–226. https://doi.org/10.1007/s10857-016-9344-0 (open access)
Nominated works (may require purchase):
- Grawemeyer, B., Mavrikis, M., Holmes, W., Santos, S. G., Wiedmann, M., & Rummel, N. (2017). Affective learning: improving engagement and enhancing learning with affect-aware feedback. User Modeling and User-Adapted Interaction, 27, 119-158. doi:10.1007/s11257-017-9188-z
- Gutierrez-Santos, S., Mavrikis, M., & Magoulas, G. D. (2012). A separation of concerns for engineering intelligent support for exploratory learning environments. Journal of Research and Practice in Information Technology, 44(3), 347. https://search.informit.com.au/documentSummary;dn=224958418015124;res=E-LIBRARY Also available from http://discovery.ucl.ac.uk/1490399/
Twitter: @mavrikis