Designed to promote cooperative efforts between researchers in artificial intelligence and instruction for the development of future computer-delivered instructional systems, this article contrasts intelligent computer-assisted instruction (ICAI) and traditional computer-based instruction (CBI) in terms of the basic philosophies underlying their…

The Minnesota Adaptive Instructional System research program investigates variables and conditions that improve learning through adaptive instructional strategies. The macro- level component of the system includes a learner model, knowledge base, and expert tutor model. At the micro-level there are nine variables which form the possible…

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…

Examines the functional characteristics of intelligent computer assisted instruction (ICAI) and discusses the requirements of a multidisciplinary cooperative effort of its development. A typical ICAI model is presented and intelligent features of ICAI systems are described, including modeling the student's learning process, qualitative decision…

Examines desirable functional features of hypermedia; describes its instructional uses and limitations; and discusses research issues, including learner control principles, the selection of information representation forms, the use of hypermedia as a knowledge base for computer-based instruction (CBI), and the development of intelligent…

Discussion of the use of artificial intelligence in computer-based instruction focuses on training development for the U.S. Army. Topics discussed include the Systems Approach to Training (SAT); knowledge acquisition; domain expertise; intelligent computer-assisted instruction; software tools and decision aids; and expert systems. (10 references)…

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)

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…

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)

Presents a knowledge representation model that was designed for instructional decision making. Topics discussed include classification models for instructional design; artificial intelligence; semantic networks; natural language; and data models, including network and hierarchical models. An example is given of knowledge analysis for a secondary…

Identifies and discusses 10 overly optimistic claims for the use of computers in the classroom, and makes recommendations concerning each claim. Highlights include computer labs versus curriculum integration; the development of hardware versus software; the values of computer literacy; computer networking; computer education training; the use of…

Discusses successes and failures in the field of instructional technology and suggests methods to design more appropriate systems that would present fewer barriers to adoption. Topics discussed include educational television; videotext; video technology; audiovisual aids; teleconferencing; computer assisted instruction; interactive video; CD-ROM;…