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Researcher
Galina Deeva
- Disciplines:Applied mathematics in specific fields, Artificial intelligence, Information sciences, Information systems, Cognitive science and intelligent systems, Management, Instructional sciences
Affiliations
- Information Systems Engineering Research Group (LIRIS) (main work address Leuven) (Research unit)
Member
From21 Oct 2016 → Today
Projects
1 - 1 of 1
- Behavioral data analytics in intelligent tutoring systemsFrom21 Oct 2016 → 21 Sep 2021Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 12
- Predicting student performance using sequence classification with time-based windows(2022)
Authors: Galina Deeva, Johannes De Smedt, Jochen De Weerdt
- Educational Sequence Mining for Dropout Prediction in MOOCs: Model Building, Evaluation, and Benchmarking(2022)
Authors: Galina Deeva, Johannes De Smedt, Jochen De Weerdt
- Behavioral data analytics in intelligent tutoring systems(2021)
Authors: Galina Deeva, Jochen De Weerdt, Monique Snoeck
- A review of automated feedback systems for learners: Classification framework, challenges and opportunities(2021)
Authors: Galina Deeva, Estefanía Serral Asensio, Monique Snoeck, Jochen De Weerdt
- Mining Behavioral Sequence Constraints for Classification(2020)
Authors: Johannes De Smedt, Galina Deeva, Jochen De Weerdt
Pages: 1130 - 1142 - Predicting Student Success in a Blended Learning Environment(2020)
Authors: Daria Bogdanova, Galina Deeva, Seppe vanden Broucke, Jochen De Weerdt, Monique Snoeck
Pages: 17 - 25Number of pages: 9 - Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo(2020)
Authors: Galina Deeva, Johannes De Smedt, Jochen De Weerdt
Pages: 931 - 943 - Understanding automated feedback in learning processes by mining local patterns(2019)
Authors: Galina Deeva, Jochen De Weerdt
Pages: 56 - 68 - Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining(2018)
Authors: Galina Deeva, Johannes De Smedt, Pieter De Koninck, Jochen De Weerdt
Pages: 243 - 255Number of pages: 13 - Developing process analytics techniques for providing real-time personalized(2018)
Authors: Galina Deeva
Pages: 1 - 6