Wilkinson, H.R. and Smid, C. and Morris, Suzanne and Farran, E.K. and Dumontheil, Iroise and Mayer, S. and Tolmie, A. and Bell, D. and Porayska-Pomsta, K. and Holmes, W. and Mareschal, Denis and Thomas, Michael S.C. (2019) Domain-specific inhibitory control training to improve children’s learning of counterintuitive concepts in Mathematics and Science. Journal of Cognitive Enhancement , ISSN 2509-3290.

du Boulay, B. and Poulovassilis, Alexandra and Holmes, W. and Mavrikis, M. (2018) Artificial intelligence and big data to close the achievement gap. In: Luckin, R. (ed.) Enhancing Learning and Teaching with Technology: What the research says. London, UK: UCL Institute of Education Press. ISBN 9781782772262.

Grawemeyer, Beate and Mavrikis, M. and Holmes, W. and Gutierrez-Santos, Sergio and Wiedmann, M. and Rummel, N. (2017) Affective learning: improving engagement and enhancing learning with affect-aware feedback. User Modeling and User-Adapted Interaction - Special Issue on Impact of Learner Modeling 27 (1), pp. 119-158. ISSN 0924-1868.

Grawemeyer, Beate and Wollenschlaeger, Alex and Gutierrez-Santos, Sergio and Holmes, W. and Mavrikis, M. and Poulovassilis, Alexandra (2017) Using graph-based modelling to explore changes in students’ affective states during exploratory learning tasks. In: 3rd International Workshop on Graph-based Educational Data Mining (GEDM 2017), at EDM 2017, 25-28 Jun 2017, Wuhan, China.

Grawemeyer, Beate and Mavrikis, M. and Holmes, W. and Gutierrez-Santos, Sergio and Wiedmann, M. and Rummel, N. (2016) Affecting off-task behaviour: how affect-aware feedback can improve student learning. In: UNSPECIFIED (ed.) Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16. New York, U.S.: Association for Computing Machinery, pp. 104-113. ISBN 9781450341905.

Holmes, W. and Mavrikis, M. and Hansen, A. and Grawemeyer, Beate (2015) Purpose and level of feedback in an exploratory learning environment for fractions. In: Conati, C. and Heffernan, N. and Mitrovic, A. and Verdejo, M.F. (eds.) Artificial Intelligence in Education. Lecture Notes in Computer Science 9112. New York, U.S.: Springer, pp. 620-623. ISBN 9783319197722.

Grawemeyer, Beate and Holmes, W. and Gutierrez-Santos, Sergio and Hansen, A. and Loibl, K. and Mavrikis, M. (2015) Light-bulb moment?: towards adaptive presentation of feedback based on students' affective state. In: UNSPECIFIED (ed.) IUI '15 Proceedings of the 20th International Conference on Intelligent User Interfaces. New York, U.S.: Association for Computing Machinery, pp. 400-404. ISBN 9781450333061.

Grawemeyer, Beate and Mavrikis, M. and Holmes, W. and Gutierrez-Santos, Sergio (2015) Adapting feedback types according to students’ affective states. In: Conati, C. and Heffernan, N. and Mitrovic, A. and Verdejo, M. (eds.) Artificial Intelligence in Education. Lecture Notes in Computer Science 9112. New York, U.S.: Springer, pp. 586-590. ISBN 9783319197722.

Grawemeyer, Beate and Mavrikis, M. and Holmes, W. and Hansen, A. and Loibl, K. and Gutierrez-Santos, Sergio (2015) Affect matters: exploring the impact of feedback during mathematical tasks in an exploratory environment. In: Conati, C. and Heffernan, N. and Mitrovic, A. and Verdejo, M. (eds.) Artificial Intelligence in Education. Lecture Notes in Computer Science 9112. New York, U.S.: Springer, pp. 595-599. ISBN 9783319197722.

Grawemeyer, Beate and Mavrikis, M. and Holmes, W. and Hansen, A. and Loibl, K. and Gutierrez-Santos, Sergio (2015) The impact of feedback on students’ affective states. CEUR Workshop Proceedings 1432 , ISSN 1613-0073.

Grawemeyer, Beate and Wollenschlaeger, Alex and Gutierrez-Santos, Sergio and Holmes, W. and Mavrikis, M. and Poulovassilis, Alexandra Using graph-based modelling to explore changes in students’ affective states during exploratory learning tasks. In: Educational Data Mining Conference (EDM) 2017, 25-28 Jun 2017, Wuhan, China.