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Tutalk: Infrastructure for authoring and experimenting with natural language dialogue in tutoring systems and learning research.
"The focus of our proposed work is to provide an infrastructure that will allow learning researchers to study dialogue in new ways and for educational technology researchers to quickly build dialogue based help systems for their tutoring systems. Most tutorial dialogue systems that to date have undergone successful evaluations (CIRCSIM, AutoTutor, WHY-Atlas, the Geometry Explanation Tutor)."
University of Memphis.
AutoTutor
ASAT
Bazaar, Carolyn Rosé and Conversational Agents.
Danielle McNamara on automated grading of explanations.
Wittwer, J., Nückles, M., & Renkl, A. (2010). Using a diagnosis-based approach to individualize instructional explanations in computer-mediated communication. Educational Psychology Review, 22, 9-23.
Conati, C., & Vanlehn, K. (2000). Toward computer-based support of meta-cognitive skills: A computational framework to coach self-explanation.International Journal of Artificial Intelligence in Education (IJAIED), 11, 389-415. [Online PDF]
McNamara, D.S. (2004). SERT: Self-explanation reading training. Discourse Processes, 38, 1-30.
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