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Showing 811 to 825 of 898 results Save | Export
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Tchogovadze, Gotcha G. – Education and Computing, 1986
Describes one way of structuring an intelligent tutoring system (ITS) in light of developments in artificial intelligence. A specialized intelligent operating system (SIOS) is proposed for software for a network of microcomputers, and it is postulated that a general learning system must be used as a basic framework for the SIOS. (Author/LRW)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Networks, Computer Software
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Roberts, Franklin C. – Peabody Journal of Education, 1984
Intelligent computer-assisted instruction (ICAI) allows both student and program a flexibility resembling a one-on-one interaction between student and teacher. This paper reviews the components of artificial intelligence, describes the structure of ICAI systems, and examines the relative strengths and weaknesses of such systems. (MT)
Descriptors: Artificial Intelligence, Authoring Aids (Programing), Computer Assisted Instruction, Computers
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Kumar, Amruth N. – Journal on Educational Resources in Computing, 2004
We have been using robots in our artificial intelligence course since fall 2000. We have been using the robots for open-laboratory projects. The projects are designed to emphasize high-level knowledge-based AI algorithms. After three offerings of the course, we paused to analyze the collected data and to see if we could answer the following…
Descriptors: Artificial Intelligence, Robotics, Laboratories, College Students
Murray, William R. – 1988
This report presents the Blackboard Instructional Planner, a dynamic instructional planner designed and implemented in the BB1 Blackboard Architecture to teach troubleshooting a complex physical device by first imparting a mental model of the device and its operation. Control in intelligent tutoring systems is defined as selection of pedagogical…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Higher Education
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Bailin, Alan – CALICO Journal, 1988
Computer-assisted language instruction incorporating artificial intelligence (CALI-AI) is based on the assumption that human cognitive abilities can be reproduced by mechanical means. The major components of CALI-AI are: 1) natural language processing; 2) problem solving; 3) language learning; and 4) modeling teacher behavior. Language teachers…
Descriptors: Artificial Intelligence, Cognitive Ability, Computer Assisted Instruction, Language Processing
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Duchastel, Philippe – Computers and Education, 1989
Discussion of intelligent computer-assisted instruction (ICAI) systems focuses on tutorial strategies. Highlights include artificial intelligence; degree of learner control; student modeling requirements in ICAI; ICAI system architecture; forms of knowledge; and tutoring functions, including questioning, teaching, and motivating. (17 references)…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Models
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Reis, Marcelo Menezes; Paladini, Edson Pacheco; Khator, Suresh; Sommer, Willy Arno – Computers and Education, 2006
Statistical quality control--SQC (consisting of Statistical Process Control, Process Capability Studies, Acceptance Sampling and Design of Experiments) is a very important tool to obtain, maintain and improve the Quality level of goods and services produced by an organization. Despite its importance, and the fact that it is taught in technical and…
Descriptors: Artificial Intelligence, Quality Control, Teaching Methods, Statistical Analysis
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Dunning, Jeremy; Bhattacharya, Sunand; Daniels, David; Dunning, Katherine – Forum on Public Policy Online, 2007
Science and technology, when applied to educational excellence, have become part of the arts and humanities of tomorrow. The interactive multimedia technology tools available to educators today provide an opportunity to build into the distance or traditional course through learning objects, highly interactive experiential exercises that allow the…
Descriptors: Technology Uses in Education, Educational Technology, Higher Education, Partnerships in Education
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Lieberman, Henry – Instructional Science, 1986
Describes a programming environment called Tinker, in which a beginning programmer presents examples to the machine, distinguishing accidental and essential aspects of the examples. Examples of programming in Tinker are presented in which programmers demonstrate how to handle specific examples and the machine formulates a procedure for handling…
Descriptors: Artificial Intelligence, Decision Making, Educational Environment, Feedback
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Nisheva-Pavolva, Maria – International Journal of Computer Algebra in Mathematics Education, 1999
Describes the experimental intelligent computer algebra system STRAMS which can solve problems using a set of methods and techniques traditionally taught, learn new mathematical problem solving methods, and generate different kinds of explanations. Analyzes these features of STRAMS to give reasons for its potential applicability in building…
Descriptors: Algebra, Artificial Intelligence, Computer Uses in Education, Educational Technology
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Soller, Amy – Journal of Computer Assisted Learning, 2004
The rapid advance of distance learning and networking technology has enabled universities and corporations to reach out and educate students across time and space barriers. Although this technology enables structured collaborative learning activities, online groups often do not enjoy the same benefits as face-to-face learners, and their…
Descriptors: Interaction, Educational Technology, Educational Benefits, Teaching Methods
Educational Technology, 1993
Provides the transcript of an interview with Dr. Lev Landa that addressed issues related to his algorithmico-heuristic theories of learning and instruction, called Landamatics. Highlights include teaching thinking versus knowledge; algorithms; instructional design; improving training and performance in industry, business, and government;…
Descriptors: Algorithms, Artificial Intelligence, Heuristics, Instructional Design
Reiser, Brian J. – 1989
The pedagogical strategies of human tutors in problem solving domains are described and the possibility of incorporating these techniques into computerized tutors is examined. GIL (Graphical Instruction in LISP), an intelligent tutoring system for LISP programming, is compared to human tutors teaching the same material in order to identify how the…
Descriptors: Artificial Intelligence, Cognitive Processes, Comparative Analysis, Computer Assisted Instruction
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Cole, Michael; And Others – 1983
A group of American and Japanese psychologists, anthropologists, linguists, and computer scientists gathered at the University of California, San Diego, to exchange ideas on models of joint problem solving and their special relevance to the design and implementation of computer-based systems of instruction. Much of the discussion focused on…
Descriptors: Artificial Intelligence, Cognitive Processes, Cooperation, Design Requirements
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