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Ray, Roger D.; And Others – Journal of Instruction Delivery Systems, 1995
Describes an artificially intelligent multimedia computerized instruction system capable of developing a conceptual image of what a student is learning while the student is learning it. It focuses on principles of learning and adaptive behavioral control systems theory upon which the system is designed and demonstrates multiple user modes.…
Descriptors: Adjustment (to Environment), Artificial Intelligence, Computer Assisted Instruction, Computer System Design

Carlson, Patricia A. – Journal of Computing in Higher Education, 1991
Artificial neural networks (ANN), part of artificial intelligence, are discussed. Such networks are fed sample cases (training sets), learn how to recognize patterns in the sample data, and use this experience in handling new cases. Two cognitive roles for ANNs (intelligent filters and spreading, associative memories) are examined. Prototypes…
Descriptors: Artificial Intelligence, Associative Learning, Computer Assisted Instruction, Computer Oriented Programs
Spector, J. Michael; And Others – Educational Technology, 1992
Presents a taxonomy describing various uses of artificial intelligence techniques in automated instructional development systems. Instructional systems development is discussed in relation to the design of computer-based instructional courseware; two systems being developed at the Air Force Armstrong Laboratory are reviewed; and further research…
Descriptors: Artificial Intelligence, Authoring Aids (Programing), Classification, Computer Assisted Instruction

Pence, Penny; And Others – Research & Teaching in Developmental Education, 1990
Describes five categories of software that can be useful in the basic writing classroom: computer-assisted instruction, computer-controlled instruction, artificial intelligence, computer-based rhetorical invention, and word processing. Evaluates each type of software in terms of their ability to fulfill the goals of basic writing instruction to…
Descriptors: Artificial Intelligence, Basic Writing, Classroom Techniques, Computer Assisted Instruction

Shute, Valerie J.; Regian, J. Wesley – Journal of Artificial Intelligence in Education, 1993
Discussion of intelligent tutoring systems (ITS) focuses on what is required to evaluate the efficacy of an ITS. Research and development aspects of ITS are examined; and seven main principles that may be used to design, plan, and implement an effective ITS evaluation are described. (Contains 40 references.) (LRW)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Design Requirements, Evaluation Methods

Malone, Linda C.; And Others – Information Processing and Management, 1991
Presents a statistical model for predicting the performance of an automated keywording system on each document it keywords. Methods of text analysis are described, including statistical methods, discriminant analysis, linguistic approaches, and artificial intelligence; performance measures are discussed; and regression models are explained. (16…
Descriptors: Artificial Intelligence, Automatic Indexing, Computational Linguistics, Discriminant Analysis

Orwig, Richard E.; Chen, Hsinchun; Nunamaker, Jay F., Jr. – Journal of the American Society for Information Science, 1997
Describes research using an artificial intelligence approach in the application of a Kohonen Self-Organizing Map (SOM) to the problem of classification of electronic brainstorming output and an evaluation of the results. The graphical representation of textual data produced by the Kohonen SOM suggests many opportunities for improving information…
Descriptors: Algorithms, Artificial Intelligence, Brainstorming, Classification

Holder, Lawrence B.; Cook, Diane J. – Journal of Computing in Higher Education, 2001
Describes the development of a Web-based multimedia delivery method of increasing students' interest in artificial intelligence (AI). The course material features an integrated simulation environment that allows students to develop and test AI algorithms in a dynamic and uncertain visual environment. Evaluated the effect of the simulation on the…
Descriptors: Artificial Intelligence, College Students, Computer Simulation, Curriculum Development

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
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
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
Brammer, Robert – 1997
The ways in which experience and academic training influence the types of questions therapists ask of their clients were studied. Psychologists and psychology students of varying degrees of expertise (n=138) were provided an artificial intelligence program that simulated a date rape client's responses to typed questions and were asked to conduct a…
Descriptors: Artificial Intelligence, Clinical Experience, Computer Assisted Testing, Knowledge Level
Brammer, Robert – 1998
The interview process was studied to uncover the relationship of expertise in psychotherapy to the likelihood of accurate diagnosis. Experience and training affect the number of diagnostic questions clinicians ask as compared to personal, family, social, occupational, and history questions; and this in turn affects the accuracy of the diagnoses…
Descriptors: Artificial Intelligence, Clinical Diagnosis, Clinical Experience, Clinical Psychology
Muir, Michael – 1990
Intended for learners with a basic familiarity with the Logo programming language, this manual is designed to introduce them to artificial intelligence and enhance their programming capabilities. Nine chapters discuss the following features of Logo: (1) MAZE.MASTER, a look at robots and how sensors make machines aware of their environment; (2)…
Descriptors: Artificial Intelligence, Computer Games, Computer Software, Educational Strategies
Katz, Sandra; Lesgold, Alan – 1992
Student modeling--the task of building dynamic models of student ability--is fraught with uncertainty, caused by such factors as multiple sources of student errors, careless errors and lucky guesses, learning and forgetting. Within the context of the Sherlock intelligent tutoring systems project, we have been experimenting with various ways of…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Electronics