The effectiveness of games for educational purposes: a review of recent research
Simulation and Gaming
The persona effect: affective impact of animated pedagogical agents
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Model-based reasoning about learner behaviour
Artificial Intelligence
The effects of animated characters on anxiety, task performance, and evaluations of user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The automated design of believable dialogues for animated presentation teams
Embodied conversational agents
The Persona Effect: How Substantial Is It?
HCI '98 Proceedings of HCI on People and Computers XIII
Authoring scenes for adaptive, interactive performances
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Proceedings of the 9th international conference on Intelligent user interfaces
Ontology Matching
Dialogue Modes in Expert Tutoring
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Multiple agent roles in an adaptive virtual classroom environment
IVA'10 Proceedings of the 10th international conference on Intelligent virtual agents
Semantic techniques for enabling knowledge reuse in conceptual modelling
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
DynaLearn: architecture and approach for investigating conceptual system knowledge acquisition
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Ambient intelligence in edutainment: tangible interaction with life-like exhibit guides
INTETAIN'05 Proceedings of the First international conference on Intelligent Technologies for Interactive Entertainment
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Motivation is a critical requirement for successful learning. Previous research has identified that animated pedagogical agents can increase motivation. Following these results, we present the cast of pedagogical agents in the DynaLearn Intelligent Learning Environment. Each of these agents is associated with one of the different support types available in the environment, giving each agent a clearly defined role. We describe the different character roles, how their knowledge is generated and related to the pedagogical purpose at hand, how they interact with the learners and finally how this interaction helps increasing the learners' motivation. To assess this, we conducted a preliminary evaluation with three of the characters and report our findings.