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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 Mavrikis, M. and Mazziotti, C. and Hansen, A. and van Leeuwen, A. and Rummel, N. (2017) Exploring students’ affective states during learning with external representations. In: André, E. and Baker, R. and Hu, X. and Rodrigo, M.T. and du Boulay, B. (eds.) Artificial Intelligence in Education. Lecture Notes in Computer Science 10331 10331. Springer, pp. 514-518. ISBN 9783319614250.
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.