Speech and Language Technology in Education (SLaTE 2013)
This talk will illustrate some of the opportunities and challenges in applying speech and language processing to two types of STEM (Science, Technology, Engineering, and Mathematics) dialogue applications: 1) one-on-one physics tutoring, where students engage in dialogues with either a computer or human tutor, and 2) engineering design, where students engage in multi-party dialogue to complete a group project. I will first present results illustrating that relationships exists between student learning and both student affect, as well as lexical/prosodic entrainment between conversational partners. I will then illustrate our use of such findings to build better educational dialogue systems.
Index Terms: spoken dialogue systems, intelligent tutoring, multi-party dialogue, affective systems, lexical and prosodic entrainment
Bibliographic reference. Litman, Diane J. (2013): "Enhancing the effectiveness of spoken dialogue for STEM education", In SLaTE-2013, 13-15.