The Potential of Ambient Intelligence to Deliver Interactive Context-Aware Affective Educational Support Through Recommendations

Abstract. There is a challenge and opportunity to research if the ambient intelligent support that can be deployed with a recommender system extended with an open hardware infrastructure that can sense and react within the learners’ context is of value to supports learners’ affectively. In this paper, we summarize the status of our research on eliciting an interactive recommendation for a stressful scenario (i.e., oral examination of a foreign language) that can be delivered through the Ambient Intelligence Context-aware Affective Recommender Platform (AICARP), which is the infrastructure we have designed and implemented with Arduino, an open-source electronic prototyping platform. 1 Eliciting Interactive Recommendations with TORMES We have reported elsewhere [1] our progress on analyzing the potential of Ambient Intelligence to deliver more interactive educationally oriented recommendations that can deal with the affective state of the learner. In particular, following the TORMES ...

• Type: Journal
• Year: 2015
• Where: AIED
• Authors: Olga C. Santos, Mar Saneiro, M. Cristina Rodriguez-Sanchez, Jesús González-Boticario, Raul Uria-Rivas, Sergio Salmeron-Majadas
• Keywords: AIED 2015, Artificial Intelligence