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Murray, Tom – International Journal of Artificial Intelligence in Education, 2016
Intelligent Tutoring Systems authoring tools are highly complex educational software applications used to produce highly complex software applications (i.e. ITSs). How should our assumptions about the target users (authors) impact the design of authoring tools? In this article I first reflect on the factors leading to my original 1999 article on…
Descriptors: Usability, Programming, Computer Software, Intelligent Tutoring Systems
Craig, Scotty D.; Graesser, Arthur C.; Sullins, Jeremiah; Gholson, Barry – Journal of Educational Media, 2004
The role that affective states play in learning was investigated from the perspective of a constructivist learning framework. We observed six different affect states (frustration, boredom, flow, confusion, eureka and neutral) that potentially occur during the process of learning introductory computer literacy with AutoTutor, an intelligent…
Descriptors: Learning Processes, Natural Language Processing, Correlation, Constructivism (Learning)
Peer reviewedKoschmann, Timothy – Artificial Intelligence, 1996
Reviews Dreyfus's writings about human cognition and artificial intelligence (AI), and explains some of the implications of his position, particularly in education. Topics include Dreyfus' critique of AI, representationlaism and expertise, technology and its role in instruction, computer-assisted instruction, and intelligent tutoring systems. (JKP)
Descriptors: Artificial Intelligence, Cognitive Development, Cognitive Processes, Cognitive Psychology
Baylor, Amy – Educational Technology, 1999
Examines the educational potential for intelligent agents as cognitive tools. Discusses the role of intelligent agents: managing large amounts of information (information overload), serving as a pedagogical expert, and creating programming environments for the learner. (AEF)
Descriptors: Artificial Intelligence, Cognitive Development, Educational Media, Educational Technology

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