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Artificial Intelligence Moving Serious Gaming: Presenting Reusable Game AI Components
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Westera, Wim; Prada, Rui; Mascarenhas, Samuel; Santos, Pedro A.; Dias, João; Guimarães, Manuel; Georgiadis, Konstantinos; Nyamsuren, Enkhbold; Bahreini, Kiavash; Yumak, Zerrin; Christyowidiasmoro, Chris; Dascalu, Mihai; Gutu-Robu, Gabriel; Ruseti, Stefan – Education and Information Technologies, 2020
This article provides a comprehensive overview of artificial intelligence (AI) for serious games. Reporting about the work of a European flagship project on serious game technologies, it presents a set of advanced game AI components that enable pedagogical affordances and that can be easily reused across a wide diversity of game engines and game…
Descriptors: Artificial Intelligence, Educational Games, Educational Technology, Computer Software
Towards Multimodal Emotion Recognition in E-Learning Environments
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Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Interactive Learning Environments, 2016
This paper presents a framework (FILTWAM (Framework for Improving Learning Through Webcams And Microphones)) for real-time emotion recognition in e-learning by using webcams. FILTWAM offers timely and relevant feedback based upon learner's facial expressions and verbalizations. FILTWAM's facial expression software module has been developed and…
Descriptors: Educational Technology, Emotional Response, Computer Mediated Communication, Nonverbal Communication
Communication Skills Training Exploiting Multimodal Emotion Recognition
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Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Interactive Learning Environments, 2017
The teaching of communication skills is a labour-intensive task because of the detailed feedback that should be given to learners during their prolonged practice. This study investigates to what extent our FILTWAM facial and vocal emotion recognition software can be used for improving a serious game (the Communication Advisor) that delivers a…
Descriptors: Communication Skills, Skill Development, Training Methods, Computer Software
Towards Real-Time Speech Emotion Recognition for Affective E-Learning
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Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Education and Information Technologies, 2016
This paper presents the voice emotion recognition part of the FILTWAM framework for real-time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving Learning Through Webcams And Microphones) intends to offer timely and appropriate online feedback based upon learner's vocal intonations and facial expressions in order…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Recognition (Psychology)
Self-Arrangement of Fleeting Student Pairs: A Web 2.0 Approach for Peer Tutoring
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Westera, Wim; de Bakker, Gijs; Wagemans, Leo – Interactive Learning Environments, 2009
This article presents a Web 2.0 approach for the arrangement of peer tutoring in online learning. In online learning environments, the learners' expectations of obtaining frequent, one-to-one support from their teachers tend to increase the teachers' workloads to unacceptably high levels. To address this problem of workload a self-organised peer…
Descriptors: Peer Teaching, Tutoring, Academic Support Services, Educational Environment