BIROn - Birkbeck Institutional Research Online
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    Article

    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.

    Book Section

    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.

    This list was generated on Sat Oct 16 06:08:26 2021 BST.