Abstract
AutoMentor is an artificial intelligent mentor who guides groups of players to accomplish tasks through online interaction including chats and E-mails in a serious game called “Land Science”. The architecture of AutoMentor consists of such analysis modules as speech act classifier, newness, relevance, epistemic network analysis and state transition network. The analyses of these modules make human mentor to be replaced by automated mentor agent. The forms of conversation among mentor agent and groups of students involve multi-logues and mutli-turns.
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© 2013 Springer-Verlag Berlin Heidelberg
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Wang, J., Li, H., Cai, Z., Keshtkar, F., Graesser, A., Shaffer, D.W. (2013). AutoMentor: Artificial Intelligent Mentor in Educational Game. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_154
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DOI: https://doi.org/10.1007/978-3-642-39112-5_154
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39111-8
Online ISBN: 978-3-642-39112-5
eBook Packages: Computer ScienceComputer Science (R0)