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Titlebook: Artificial Intelligence in Education; 17th International C Cristina Conati,Neil Heffernan,M. Felisa Verdejo Conference proceedings 2015 Spr

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https://doi.org/10.1057/9780230583146nts were highly attracted by the TA with dynamic needs. They statistically completed more tasks. Also, better results were obtained on students’ learning efficiency and attitude towards TA’s informational usefulness and affective interactions.
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Bree Andrews,Nilu Rahman,Neethi Pintortain characteristics) experience of positive emotions (e.g., enjoyment) and minimize their experience of negative emotions (e.g., boredom). Such an approach presents a scalable and easily implemented method for creating emotionally-adaptive, agent-based learning environments, and improving learner-
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Teachable Agents with Intrinsic Motivationnts were highly attracted by the TA with dynamic needs. They statistically completed more tasks. Also, better results were obtained on students’ learning efficiency and attitude towards TA’s informational usefulness and affective interactions.
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Examining the Predictive Relationship Between Personality and Emotion Traits and Learners’ Agent-Dirrtain characteristics) experience of positive emotions (e.g., enjoyment) and minimize their experience of negative emotions (e.g., boredom). Such an approach presents a scalable and easily implemented method for creating emotionally-adaptive, agent-based learning environments, and improving learner-
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