Research output per year
Research output per year
Personal profile
Research Interests
My research work is in the area of computer science / artificial intelligence and human computer interaction. I am particularly interested in learning environments which are able to support and adapt to the special characteristics of individuals with the aim of enhancing their learning experience.
My research interests include:
- technology enhanced learning
- user/student modeling
- intelligent user interfaces
- learning analytics
- affective computing
- user centered design
- individual differences
Education/Academic qualification
Computer Science and Artificial Intelligence, Doctorate, Supporting representation selection to improve reasoning: the iterative design of an adaptive system, University of Sussex
Award Date: 1 Jul 2007
Knowledge-Based Systems, MSc, University of Sussex
Award Date: 30 Sept 1999
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Collaborations and top research areas from the last five years
External collaboration on country/territory level for the past five years. Dive into details by clicking on the dots or
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Feedback and Engagement on an Introductory Programming Module
Grawemeyer, B., Halloran, J., England, M. & Croft, D., 6 Jan 2022, CEP 2022: Computing Education Practice 2022. English, R. & Stewart, C. (eds.). ACM, p. 17-20 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
2 Citations (Scopus) -
Social Explainability of AI: The Impact of Non-Technical Explanations on Trust
Kroeger, F., Slocombe, B., Inuwa-Dutse, I., Kagimu, B., Grawemeyer, B. & Bhatt, U., 23 Jul 2022, p. 150-156. 7 p.Research output: Contribution to conference › Paper › peer-review
Open Access -
When the Going Gets Tough: Students’ Perceptions on Affect-Aware Support in an Exploratory Learning Environment for Fractions
Grawemeyer, B., Mavrikis, M. & Holmes, W., 26 Jul 2022, (E-pub ahead of print) Artificial Intelligence in Education. : Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium, Proceedings, Part II. Mercedes Rodrigo, M., Matsuda, N., Cristea, A. I. & Dimitrova, V. (eds.). Springer, Cham , Vol. 13356. p. 483-487 5 p. (Lecture Notes in Computer Science; vol. 13356).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
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Design and evaluation of adaptive feedback to foster ICT information processing skills in young adults
Grawemeyer, B., Karoudis, K., Magoulas, G., Pinto, M. & Poulovassilis, A., 1 Jan 2019, WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee, p. 369-377 9 p. (26th International World Wide Web Conference 2017, WWW 2017 Companion).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
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The impact of affect-aware support on learning tasks that differ in their cognitive demands
Grawemeyer, B., Mavrikis, M., Mazziotti, C., van Leeuwen, A. & Rummel, N., 20 Jun 2018, (E-pub ahead of print) Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer-Verlag London Ltd, Vol. 10948 LNAI. p. 114-118 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10948 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
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