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Peer reviewedNyns, Roland R. – System, 1990
Responds to an earlier article advocating an investigation of the safety of using computer assisted instruction. (22 references) (Author/VWL)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Humanistic Education
Peer reviewedMasuch, Michael; LaPotin, Perry – Administrative Science Quarterly, 1989
Building on a simulation methodology, this study presents a new organizational decision-making model that complements the original garbage can model and overcomes design-related limitations by using artificial intelligence tools. Decision-making in organized structures may become as disorderly as in organized anarchies, but for different reasons.…
Descriptors: Artificial Intelligence, Decision Making, Models, Organizational Theories
Peer reviewedDoty, Keith L. – Tech Directions, 1999
Research on neural networks and hippocampal function demonstrating how mammals construct mental maps and develop navigation strategies is being used to create Intelligent Autonomous Mobile Robots (IAMRs). Such robots are able to recognize landmarks and navigate without "vision." (SK)
Descriptors: Artificial Intelligence, Brain Hemisphere Functions, Navigation, Robotics
Schulze, Mathias – CALICO Journal, 2008
The application of techniques from artificial intelligence (AI) to CALL has commonly been referred to as intelligent CALL (ICALL). ICALL is only slightly older than the "CALICO Journal", and this paper looks back at a quarter century of published research mainly in North America and by North American scholars. This "inventory…
Descriptors: Research and Development, Computer Assisted Instruction, Artificial Intelligence, North Americans
Hung, Wei-Chen; Chao, Chia-An – Innovations in Education and Teaching International, 2007
This study has reviewed major design approaches for electronic performance support systems and identified two common problems: users' inability to comprehend screen-based material and poorly designed instructional scaffolds. This paper presents a design approach, called the "Matrix-Aided Performance System" ("MAPS"), which enables these problems…
Descriptors: Information Needs, Design Requirements, Advance Organizers, Instructional Design
Mann, William C. – 1987
One of the major problems in artificial intelligence (AI) text generation is text organization; a poorly organized text can be unreadable or even misleading. A comparison of two AI approaches to text organization--McKeown's TEXT system and Rhetorical Structure Theory (RST)--shows that, although they share many assumptions about the nature of text,…
Descriptors: Artificial Intelligence, Comparative Analysis, Computational Linguistics, Discourse Analysis
Peer reviewedKissinger, Pat – Education Libraries, 1987
This annotated bibliography describes 12 books, 10 ERIC publications, and 7 periodical articles about artificial intelligence and robotics that were selected by the author as resources for educators. (CLB)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Educational Resources, Robotics
Peer reviewedSmith, Linda C., Comp. – Journal of the American Society for Information Science, 1984
This 19-item annotated bibliography introducing the literature of artificial intelligence (AI) is arranged by type of material--handbook, books (general interest, textbooks, collected readings), journals and newsletters, and conferences and workshops. The availability of technical reports from AI laboratories at universities and private companies…
Descriptors: Annotated Bibliographies, Artificial Intelligence, Computer Science, Information Sources
Peer reviewedHausman, Carl R. – Interchange, 1985
To be creative, an act must have as its outcome something new in the way it is intelligible and valuable. Computers have restricted contexts of information and have no ability to weigh bits of information. Computer optimists presuppose either determinism or indeterminism, either of which abandons creativity. (MT)
Descriptors: Artificial Intelligence, Computers, Creativity, Evaluative Thinking
Peer reviewedPfeffer, Jeffrey; And Others – Simulation and Games, 1971
Descriptors: Artificial Intelligence, Computer Programs, Financial Problems, Models
Peer reviewedSelf, John A. – Computers and Education, 1979
Summarizes the role of student models in computer assisted learning (CAL); lists difficulties preventing their widespread use in practical teaching systems; and describes problems, using a simple subtraction model, associated with the representation, content, creation, change, growth, execution, comparison, use for planning and monitoring, and…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Models, Problems
Peer reviewedWilson, Harold O.; Burford, Anna Marie – Journal of Education for Business, 1990
Delineates artificial intelligence/expert systems (AI/ES) concepts; provides an exposition of some business application areas; relates progress; and creates an awareness of the benefits, limitations, and reservations of AI/ES. (Author)
Descriptors: Artificial Intelligence, Business Education, Expert Systems, Technological Advancement
Peer reviewedTechnology Teacher, 1989
This curriculum unit discusses the history of programing languages, emphasizing the newer fourth- and fifth-generation languages that are increasingly human-like in their intelligence. Fourth-generation languages and knowledge-based systems are discussed at length. (CH)
Descriptors: Artificial Intelligence, Computational Linguistics, Expert Systems, Programing Languages
Peer reviewedIkeda, 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
He, Qin – Proceedings of the ASIS Annual Meeting, 2000
Maps the dynamics in the field of artificial intelligence during the last five years using the co-word analysis technique. Shows that it is possible to identify the hot topics in a particular scientific research field at one time and to map the dynamics in the topics during a series of periods. (Contains 12 references.) (Author/LRW)
Descriptors: Artificial Intelligence, Concept Mapping, Scientific and Technical Information

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