• Publications
  • Influence
Panorama of Recommender Systems to Support Learning
TLDR
We present an extended version of a state-of-the-art review on recommender systems (RecSys) in Technology Enhanced Learning (TEL). Expand
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Recommender Systems for Technology Enhanced Learning
TLDR
An introduction to the deployment of recommender systems in TEL settings, keeping in mind the particularities of this application domain. Expand
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Training the Body: The Potential of AIED to Support Personalized Motor Skills Learning
  • O. Santos
  • Psychology, Computer Science
  • International Journal of Artificial Intelligence…
  • 7 March 2016
TLDR
This paper argues that the research field of Artificial Intelligence in Education (AIED) can benefit from integrating recent technological advances (e.g., wearable devices, big data processing, 3D modelling,3D printing, ambient intelligence) and design methodologies, such as TORMES, when developing systems that address the psychomotor learning domain. Expand
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Usability in e-Learning Platforms : heuristics comparison between Moodle , Sakai and dotLRN
Recently, educational institutions largely adopted open source elearning platforms. Several studies and comparisons between those platforms were conducted. However, these analyses were more focusedExpand
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Integration of Educational Specifications and Standards to Support Adaptive Learning Scenarios in ADAPTAPlan
TLDR
ADAPTAPlan project provides dynamic assistance for reducing authors’ effort in developing instructional design tasks using user modelling, planning and machine learning techniques and making a pervasive use of educational specifications and standards. Expand
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Extending web-based educational systems with personalised support through User Centred Designed recommendations along the e-learning life cycle
TLDR
We provide an educational-oriented approach for building personalised e-learning environments that focuses on putting the learners' needs in the centre of the development process. Expand
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An Evaluation of Mouse and Keyboard Interaction Indicators towards Non-intrusive and Low Cost Affective Modeling in an Educational Context
TLDR
We propose a series of indicators, which derive from user's interactions with mouse and keyboard. Expand
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Affective issues in Semantic Educational Recommender Systems
TLDR
We discuss the benefits of considering affective issues in educational recommender systems and describe the extension of the Semantic Educational Recommender Systems (SERS) approach, which is characterized by its interoperability with e-learning services, to deal with learners’ affective traits in educational scenarios. Expand
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Modeling recommendations for the educational domain
TLDR
We present TORMES, a semantic recommendations model that can be used to describe the recommendations for technology enhanced learning. Expand
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Toward interactive context-aware affective educational recommendations in computer-assisted language learning
TLDR
This work explores the benefits of supporting learners affectively in a context-aware learning situation. Expand
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