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Dabae Lee; Taekwon Son; Sheunghyun Yeo – Journal of Computer Assisted Learning, 2025
Background: Artificial Intelligence (AI) technologies offer unique capabilities for preservice teachers (PSTs) to engage in authentic and real-time interactions using natural language. However, the impact of AI technology on PSTs' responsive teaching skills remains uncertain. Objectives: The primary objective of this study is to examine whether…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Preservice Teachers
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Graesser, Arthur C.; Forsyth, Carol M.; Lehman, Blair A. – Grantee Submission, 2017
Background: Pedagogical agents are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with the students in natural language. Dialogues occur between a tutor agent and the student in the case of AutoTutor and other intelligent tutoring systems with natural language…
Descriptors: Intelligent Tutoring Systems, Computer Managed Instruction, Natural Language Processing, Instructional Design
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Pérez-Marín, Diana; Pascual-Nieto, Ismael – Behaviour & Information Technology, 2013
A pedagogic conversational agent (PCA) can be defined as a computer system that interacts with the student in natural language assuming the role of the instructor, a student or a companion. It can have a personality and can generate different sentences according to the agent or the student mood. Empathy with the students' feelings seems to…
Descriptors: Natural Language Processing, Conversational Language Courses, Computer Assisted Instruction, Questionnaires
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Morris, Bradley J. – Journal of Cognition and Development, 2008
Why is it that young children use connectives correctly in conversation, yet frequently err when asked to use the same connectives in formal reasoning? One possibility is that connective acquisition is item-based in which usage rules are induced from natural language input. This possibility was evaluated by examining the correspondence between the…
Descriptors: Language Patterns, Linguistic Input, Natural Language Processing, Speech Communication