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date: 07 July 2022

Abstract and Keywords

Computer learning environments of the future need to be sensitive to the social, cognitive, emotional, and motivational (SCEM) states of students as they learn in their social environment. Language and discourse plays a central role in tracking SCEM states and influencing how the computer responds to promote learning. This essay describes a number of computer tutors that are sensitive to these psychological factors and thereby help students learn. Computer agents are central to the design of these systems. These systems include one-on-one tutoring, conversational trialogs (a tutor agent and student agent conversing with a human student), and a mentor agent interacting with students in a multiparty serious game. All of these systems automatically analyze the language and discourse of the students as they interact with the learning environments. The missions of science, technology, engineering, and mathematics (STEM) learning are likely to fail without the integration of SCEM.

Keywords: tutoring, conversational agents, discourse processing, computational linguistics, intelligent tutoring systems, emotions

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