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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.

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.

Book Section

Grawemeyer, Beate and Karoudis, Konstantinos and Magoulas, George D. and Pinto, M. and Poulovassilis, Alexandra (2017) Design and evaluation of adaptive feedback to foster ICT information processing skills in young adults. In: UNSPECIFIED (ed.) WWW '17: Companion Proceedings of the 26th International Conference on World Wide Web Companion. New York, U.S.: ACM, pp. 369-377. ISBN 9781450349147.

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.

Mazziotti, C. and Hansen, A. and Grawemeyer, Beate (2016) It ain't what you do, it's the way that you do it: investigating the effect of students' active and constructive interactions with fractions representations. In: Looi, C.K. and Polman, J.L. and Cress, U. and Reimann, P. (eds.) Proceedings of International Conference of the Learning Sciences, ICLS. International Society of the Learning Sciences (ISLS), pp. 753-760. ISBN 9780990355083.

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.

Rebolledo-Mendez, G. and Mavrikis, M. and Santos, O.C. and du Boulay, B. and Grawemeyer, Beate and Rojano-Cáceres, R. (2015) International workshop on affect, meta-affect, data and learning (AMADL 2015). In: Conati, C. and Heffernan, N. and Mitrovic, A. and Verdejo, M.F. (eds.) Artificial Intelligence in Education. Lecture Notes in Computer Science 9112. Basel, Switzerland: Springer, p. 890. ISBN 9783319197722.

Grawemeyer, Beate (2006) Evaluation of ERST: an external representation selection tutor. In: Barker-Plummer, D. and Cox, R. and Swoboda, N. (eds.) Diagrams 2006: Diagrammatic Representation and Inference. Lecture Notes in Computer Science 4045. Springer, pp. 154-167. ISBN 9783540356233.

Grawemeyer, Beate and Cox, R. (2005) A Bayesian approach to modelling users' information display preferences. In: Ardissono, L. and Brna, P. and Mitrovic, A. (eds.) User Modeling 2005: 10th International Conference. Lecture Notes in Computer Science 3538. Springer, pp. 225-230. ISBN 9783540278856.

Grawemeyer, Beate and Cox, R. (2005) Developing a Bayes-net based student model for an external representation selection tutor. In: Looi, C.-K. and McCalla, G.I. and Bredeweg, B. and Breuker, J. (eds.) Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology: Proceedings of the 12th International Conference on Artificial Intelligence in Education. Frontiers in Artificial Intelligence and Applications 125. IOS Press, pp. 810-812.

Grawemeyer, Beate and Cox, R. (2005) Graphical data displays and database queries: helping users select the right display for the task. In: Butz, A. and Fisher, B.D. and Kruger, A. and Olivier, P. (eds.) Smart Graphics: 5th International Symposium. Lecture Notes in Computer Science 3638. Springer, pp. 53-64. ISBN 9783540281795.

Grawemeyer, Beate and Cox, R. (2004) The effect of knowledge-of-external-representations upon performance and representational choice in a database query task. In: Blackwell, A.F. and Marriott, K. and Shimojima, A. (eds.) Diagrammatic Representation and Inference: Third International Conference: Diagrams 2004. Lecture Notes in Computer Science 2980. Springer, pp. 351-354. ISBN 9783540212683.

Blasius, K.-H. and Grawemeyer, Beate and John, I. and Kuhn, N. (1997) Knowledge-based document analysis. In: UNSPECIFIED (ed.) 4th International Conference: Document Analysis and Recognition. IEEE Computer Society, pp. 728-731. ISBN 0818678984.

Conference or Workshop Item

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 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.