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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:

  • learning analytics
  • affective computing
  • user modeling
  • intelligent user interfaces
  • user centered design
  • individual differences

Education/Academic qualification

Computer Science and Artificial Intelligence, Doctorate, University of Sussex

Knowledge-Based Systems, MSc, University of Sussex

Fingerprint Dive into the research topics where Beate Grawemeyer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 10 Similar Profiles
Students Engineering & Materials Science
Feedback Engineering & Materials Science
learning Social Sciences
Learning Environment Mathematics
autism Social Sciences
Speech recognition Engineering & Materials Science
User interfaces Engineering & Materials Science
Education Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2015 2018

  • 67 Citations
  • 5 h-Index
  • 11 Conference proceeding
  • 5 Article
  • 2 Editorial
6 Downloads (Pure)

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, 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 proceedingConference proceeding

Open Access
File
Students
Learning
13 Citations (Scopus)
5 Downloads (Pure)

Affective learning: improving engagement and enhancing learning with affect-aware feedback

Grawemeyer, B., Mavrikis, M., Holmes, W., Gutiérrez-Santos, S., Wiedmann, M. & Rummel, N., 1 Mar 2017, In : User Modeling and User-Adapted Interaction. 27, 1, p. 119-158 40 p.

Research output: Contribution to journalArticle

Open Access
File
Feedback
learning
Students
Educational technology
boredom
1 Citation (Scopus)
1 Downloads (Pure)

Exploring students’ affective states during learning with external representations

Grawemeyer, B., Mavrikis, M., Mazziotti, C., Hansen, A., van Leeuwen, A. & Rummel, N., 23 Jun 2017, Artificial Intelligence in Education - 18th International Conference, AIED 2017, Proceedings. Springer-Verlag London Ltd, Vol. 10331 LNAI. p. 514-518 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10331 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Open Access
File
Students
Reasoning
User Studies
Range of data
Learning
13 Citations (Scopus)

Affecting Off-Task Behaviour: How Affect-aware feedback can improve student learning

Grawemeyer, B., Mavrikis, M., Holmes, W., Sergio, G. S., Wiedmann, M. & Rummel, N., 25 Apr 2016, LAK 2016 Conference Proceedings, 6th International Learning Analytics and Knowledge Conference - Enhancing Impact: Convergence of Communities for Grounding, Implementation, and Validation. Association for Computing Machinery, Vol. 25-29-April-2016. p. 104-113 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Students
Feedback
Bayesian networks
Experiments

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

Mazziotti, C., Hansen, A. & Grawemeyer, B., 1 Jan 2016, 12th International Conference of the Learning Sciences, ICLS 2016: Transforming Learning, Empowering Learners, Proceedings. International Society of the Learning Sciences (ISLS), Vol. 2. p. 753-760 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Students
interaction
student
learning performance
flexibility