J
Jesus G. Boticario
Researcher at National University of Distance Education
Publications - 151
Citations - 2255
Jesus G. Boticario is an academic researcher from National University of Distance Education. The author has contributed to research in topics: Adaptive learning & User modeling. The author has an hindex of 25, co-authored 150 publications receiving 2100 citations. Previous affiliations of Jesus G. Boticario include Carnegie Mellon University.
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Proceedings Article
A personal learning apprentice
TL;DR: The organization of CAP, its performance in initial field tests, and more general lessons learned from this effort about learning apprentice systems are described.
Journal ArticleDOI
Extending web-based educational systems with personalised support through User Centred Designed recommendations along the e-learning life cycle
TL;DR: An educational-oriented approach for building personalised e-learning environments that focuses on putting the learners' needs in the centre of the development process is provided.
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Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal Approaches
TL;DR: An annotation methodology to tag facial expression and body movements that conform to changes in the affective states of learners while dealing with cognitive tasks in a learning process is described.
Journal Article
An open IMS-based user modelling approach for developing adaptive learning management systems
TL;DR: The design rationale of the developed architecture, the user modelling approach and the main experimentation results at the aLFanet project are described and the current research works on key open issues are introduced.
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Application of machine learning techniques to analyse student interactions and improve the collaboration process
TL;DR: This research studied two approaches that use machine learning techniques to analyse student collaboration in a long-term collaborative learning experience during the academic years 2006-2007, 2007-2008 and 2008-2009 to suggest that collaboration can be analysed in this way.