Manolis Mavrikis
- Qualifications and position:
- MSc, PhD in Artificial Intelligence with applications in Educational Technology
- Research Officer
- Faculty:
- Faculty of Children and Learning
- Department:
- Culture, Communications and Media
- Centre:
- Summary:
- My research interests lie around the representation of domain and pedagogical knowledge, and the modelling of users of Interactive Learning Environments, particularly for Mathematics, with the aim to provide adaptive feedback to students and other stakeholders (e.g., teachers).
In order to analyse students' interactions, I am trying to combine qualitative methods with the rigour and constistency provided by statistical and machine learning techniques.
- Research Projects:
- Conferences/presentations:
- EC-TEL'08. European Conference on Technology Enhanced Learning. Times of convergence: Technologies across learning context
- Languages Spoken:
- Website / Blogsite:
Contact details
- Email: M.Mavrikis@ioe.ac.uk
Address:
- Culture, Communications and Media
Institute of Education University of London
20 Bedford Way
London
WC1H 0AL
Office Location:
- Room 102
23-29 Emerald Street, WC1N 3QS
Publications
- Mavrikis, M. and Gutierrez-Santos, S. (in press) 'Not all wizards are from Oz: Iterative Design of Intelligent Learning Environments by Communication Capacity Tapering', Computers & Education
- Noss, R., Hoyles, C., Mavrikis, M. (2009) 'Broadening the sense of 'dynamic': a microworld to support students' mathematical generalization', Special Issue of ZDM – The International Journal of Mathematics Education 41(4), 493-503.
- Porayska-Pomsta, K., Mavrikis, M., and Pain, H. (2008) 'Diagnosing and acting on student affect: the tutor's perspective', User Modeling and User-Adapted Interaction 18 (1), 125-173.
- Mavrikis, M. (2008) 'Data-driven modelling of students' interactions in an ILE' Paper presented at International Conference on Educational Data Mining (EDM08) , Cordoba
- Mavrikis, M. and González Palomo, A. (2004) 'Mathematical, interactive exercise generation from static documents', Electronic Notes in Theoretical Computer Science
- Mavrikis, M., Maciocia, A. and Lee, J. (2007) 'Towards predictive modelling of student affect from web-based interactions' Paper presented at 13th International Conference on Artificial Intelligence in Education, AIED2007
- Porayska-Pomsta, K., Mavrikis, M. and Pain, H. (2008) 'Diagnosing and acting on student affect: the tutor's perspective', User Modeling and User-Adapted Interaction: The Journal of Personalization Research 18(1-2), 125–173.