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Saastamoinen, Kalle; Rissanen, Antti; Mutanen, Arto – International Baltic Symposium on Science and Technology Education, 2023
There were two projects at the National Defence University of Finland (NDU), which both ended by the end of 2022. One of them tried to find the answers to the main question: How artificial intelligence (AI) could be used to improve learning, teaching, and planning? The other tried to find the answer to the main question: What new skills do…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Teaching Methods, Learning Analytics
Goodman, Bradley; Linton, Frank; Gaimari, Robert – International Journal of Artificial Intelligence in Education, 2016
Our 1998 paper "Encouraging Student Reflection and Articulation using a Learning Companion" (Goodman et al. 1998) was a stepping stone in the progression of learning companions for intelligent tutoring systems (ITS). A simulated learning companion, acting as a peer in an intelligent tutoring environment ensures the availability of a…
Descriptors: Simulation, Cooperative Learning, Educational Benefits, Artificial Intelligence
Shaughnessy, Michael F.; Fulgham, Susan M. – Educational Technology, 2016
Sigmund Tobias came to the United States in 1948, after his family had fled to China from the Holocaust in Europe. His Memoir ("Strange Haven: A Jewish Childhood in Wartime Shanghai") describes that part of his life. He settled in New York, where he completed his B.A. and M.S. in School Psychology from the City College of New York, and a…
Descriptors: Educational Technology, Interviews, Leaders, Computer Games
Shaughnessy, Michael F.; Fulgham, Susan M. – Educational Technology, 2015
J. Michael Spector's academic preparation was in philosophy--epistemology and logic, primarily. His dissertation was on skepticism in modern philosophy, and that led him to a deep-seated appreciation for classical skepticism. The word "skeptic" is derived from the Greek word "skepsis," which means investigation. While the…
Descriptors: Educational Technology, Interviews, Technology Uses in Education, Teacher Education Programs
Amaral, Luiz; Meurers, Detmar; Ziai, Ramon – Computer Assisted Language Learning, 2011
Intelligent language tutoring systems (ILTS) typically analyze learner input to diagnose learner language properties and provide individualized feedback. Despite a long history of ILTS research, such systems are virtually absent from real-life foreign language teaching (FLT). Taking a step toward more closely linking ILTS research to real-life…
Descriptors: Feedback (Response), Second Language Learning, Intelligent Tutoring Systems, Information Management
Scandura, Joseph M. – Online Submission, 2010
According to Wikipedia "Automation is a step beyond mechanism." Whereas mechanization provided human operators with machinery to assist them with the muscular requirements of work, automation greatly reduces the need for human sensory and mental requirements as well. In this context, Artificial Intelligence (AI) was founded on the claim that a…
Descriptors: Learning Theories, Mathematics Skills, Automation, Computer Uses in Education
Lim, Wei-Ying; So, Hyo-Jeong; Tan, Seng-Chee – Interactive Learning Environments, 2010
While the growing prevalence of Web 2.0 in education opens up exciting opportunities for universities to explore expansive, new literacies practices, concomitantly, it presents unique challenges. Many universities are changing from a content delivery paradigm of eLearning 1.0 to a learner-focused paradigm of eLearning 2.0. In this article, we…
Descriptors: Models, Internet, Electronic Learning, Technology Uses in Education
Ross, Steven M.; Morrison, Gary R. – Journal of Computing in Higher Education, 2012
In this rejoinder to Mazoue ("J Comput High Educ," 2012) article, "the deconstructed campus," we react to his arguments regarding the replacement of face-to-face teaching on college campuses with computer-supported approaches, including on-line learning, intelligent cognitive tutors, and open-ended learning environments where, rather than being…
Descriptors: Evidence, Instructional Design, Experiential Learning, Educational Technology

Ikeda, Mitsuru; Mizoguchi, Riichiro – Journal of Artificial Intelligence in Education, 1994
Summarizes research activities concerning FITS, a Framework for Intelligent Tutoring Systems, and discusses the major results obtained thus far. Topics include system architecture; domain independent framework; student model module; expertise module; tutoring strategies; and a model of tutor's decision making, including knowledge sources and…
Descriptors: Artificial Intelligence, Decision Making, Intelligent Tutoring Systems, Models

Kang, Yun-Sun; Maciejewski, Anthony A. – System, 1996
Describes an algorithm for developing a domain knowledge base used in a Japanese language intelligent tutoring system. The domain knowledge represents a model of the expertise required of a student for proficiency in reading "katakana," a Japanese orthography. The algorithm described can generate a knowledge base of Japanese phonological…
Descriptors: Algorithms, Intelligent Tutoring Systems, Japanese, Models
Epstein, Kenneth; Hillegeist, Eleanor – 1990
An Intelligent Tutoring System (ITS) consists of an expert problem-solving program in a subject domain, a tutoring model capable of remediation or primary instruction, and an assessment model that monitors student understanding. The Geometry Proof Tutor (GPT) is an ITS which was developed at Carnegie Mellon University and field tested in the…
Descriptors: Geometry, Higher Education, Intelligent Tutoring Systems, Learner Controlled Instruction
Wegerif, Rupert; Littleton, Karen; Jones, Ann – International Journal of Educational Research, 2003
This paper focuses on three distinctive ways in which educational software can support learning dialogues in primary classrooms. After a re-capitulation of published research on Initiation, "Discussion," Response, Feedback (IDRF) exchanges, where the computer is used to stimulate discussion and then direct it through using feedback, we ask if…
Descriptors: Learning Activities, Educational Technology, Foreign Countries, Courseware

Waters, Richard C. – Computer Assisted Language Learning, 1995
Describes The Audio Interactive Tutor (TAIT), an interactive audio/oral computer-assisted study device. TAIT's output consists of explanations and examples along with commands and questions requiring responses from the user. It uses speech recognition to determine the responses made by the user and constructs an evolving model of what the user…
Descriptors: Auditory Stimuli, Computer Assisted Instruction, Courseware, Intelligent Tutoring Systems
Mitrovic, Antonija; Suraweera, Pramuditha; Martin, Brent; Weerasinghe, Amali – Journal of Interactive Learning Research, 2004
E-learning is becoming more and more popular with the widespread use of computers and the Internet in educational institutions. Current e-learning courses are nearly always developed using course management systems (CMS), such as WebCT or Blackboard. Although CMS tools provide support for some administrative tasks and enable instructors to provide…
Descriptors: Management Systems, Instructional Materials, Internet, Databases

Koschmann, 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
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