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Brown, John S.; And Others – 1973
A question answering system which permits a computer-assisted instruction (CAI) student greater initiative in the variety of questions he can ask is described. A method is presented to represent the dynamic processes of a subject matter area by augmented finite state automata, which permits efficient inferencing about dynamic processes and…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Programs, Deep Structure
Levin, James A.; Moore, James A. – 1977
Studies of natural dialogue indicate that people interact according to established patterns which are organized around the participants' goals. These patterns have been represented by a set of knowledge structures called "Dialogue-games" which are founded on conventional knowledge about communication and its uses to achieve goals. The…
Descriptors: Artificial Intelligence, Communication (Thought Transfer), Computational Linguistics, Computer Oriented Programs
Foley, James D. – Scientific American, 1987
Discusses the coming generation of supercomputers that will have the power to make elaborate "artificial realities" that facilitate user-computer communication. Illustrates these technological advancements with examples of the use of head-mounted monitors which are connected to position and orientation sensors, and gloves that track finger and…
Descriptors: Artificial Intelligence, Computer Graphics, Computers, Electrical Stimuli
Yang, Jung-Shing – Educational Technology, 1987
This literature review discusses the differences between individual and individualized instruction and explores ways of leading future computer assisted instruction (CAI) toward genuine individualized instruction. The development and design of intelligent CAI are described, and topics for future studies are suggested. (LRW)
Descriptors: Artificial Intelligence, Cognitive Psychology, Comparative Analysis, Computer Assisted Instruction
Peer reviewedOhlsson, Stellan – Instructional Science, 1986
Research on intelligent tutoring systems is discussed from the point of view of providing moment-by-moment adaptation of content and form of instruction to the changing cognitive needs of individual learners. Implications of this goal for cognitive diagnosis, subject matter analysis, teaching tactics, and teaching strategies are analyzed. (Author)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Simulation, Diagnostic Teaching
Dear, Brian L. – Educational Technology, 1986
Introduces some general concepts and techniques of artificial intelligence (natural language interfaces, expert systems, knowledge bases and knowledge representation, heuristics, user-interface metaphors, and object-based environments) and investigates ways these techniques might be applied to analysis, design, development, implementation, and…
Descriptors: Artificial Intelligence, Authoring Aids (Programing), Change Strategies, Computer Assisted Instruction
Peer reviewedPelton, Joseph N. – English Education, 1984
Traces the effects of advancing technologies on civilization and education, arguing that radical changes are underway, such as reliance on tele-education and distance learning, that will have a profound effect on teachers and the United States educational system. (HOD)
Descriptors: Artificial Intelligence, Cybernetics, Educational Change, Educational Needs
Liskin, Miriam; And Others – Popular Computing, 1984
This collection of articles includes an examination of word-processing software; project management software; new expert systems that turn microcomputers into logical, well-informed consultants; simulated negotiation software; telephone management systems; and the physical design of an efficient microcomputer work space. (MBR)
Descriptors: Artificial Intelligence, Business, Computer Simulation, Computer Software
Peer reviewedSabbah, Daniel – Cognitive Science, 1985
Summarizes an initial foray in tackling artificial intelligence problems using a connectionist approach. The task chosen is visual recognition of Origami objects, and the questions answered are how to construct a connectionist network to represent and recognize projected Origami line drawings and the advantages such an approach would have. (30…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Graphics, Geometry
Peer reviewedRumelhart, David E.; Zipser, David – Cognitive Science, 1985
Reports results of studies with an unsupervised learning paradigm called competitive learning which is examined using computer simulation and formal analysis. When competitive learning is applied to parallel networks of neuron-like elements, many potentially useful learning tasks can be accomplished. (Author)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Simulation, Input Output
Peer reviewedLangley, Pat – Cognitive Science, 1985
Examines processes by which general but weak search methods are transformed into powerful, domain-specific search strategies by classifying types of heuristics learning that can occur and components that contribute to such learning. A learning system--SAGE.2--and its structure, behavior in different domains, and future directions are explored. (36…
Descriptors: Artificial Intelligence, Computer Software, Design, Heuristics
Roberts, Franklin C.; Park, Ok-choon – Educational Technology, 1983
Reviews the structure of intelligent computer assisted instruction (ICAI) systems, gives some examples of such systems, and discusses their relative strengths and weaknesses. Four references are listed. (MBR)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Epistemology, Futures (of Society)
Keller, Joan; Shanahan, Dolores – Computing Teacher, 1983
Describes work with kindergarten children to improve their development of estimation, decision making, divergent thinking, directionality, numerical concepts, and creative problem solving skills through learning to program and control the robot Big Trak, a truck which moves along the floor in response to their commands. (EAO)
Descriptors: Artificial Intelligence, Bionics, Decision Making, Divergent Thinking
Peer reviewedBirnbaum, Joel S. – Science, 1982
Surveys trends in hardware (logic, memory, storage) input-output technology, software, computer architecture and organization, communications, and artificial intelligence. (JN)
Descriptors: Artificial Intelligence, College Science, Communications, Computer Oriented Programs
Resnikoff, Howard L. – EDUCOM Bulletin, 1981
Discusses the impact of technological change on our society and the unique role colleges and universities can play in responding to and stimulating world change. (Author)
Descriptors: Artificial Intelligence, Computers, Databases, Futures (of Society)


