Discussion of the history and development of artificial intelligence (AI) highlights a bibliography of introductory books on various aspects of AI, including AI programing; problem solving; automated reasoning; game playing; natural language; expert systems; machine learning; robotics and vision; critics of AI; and representative software. (LRW)

Addresses the potential of conversational simulations for computer-assisted language learning (CALL) and reasons why this potential is largely untapped. Topics discussed include artificial intelligence; microworlds; parsing; realism versus reality in computer software; intelligent tutoring systems; and criteria to clarify what kinds of CALL…

The article reviews Intelligent Computer Assisted Instruction (ICAI), an area of artificial intelligence and notes its shortcomings for learning disabled students. It is suggested that emphasis on antecedent knowledge (important facts, concepts, rules, and/or strategies for the content area) and content analysis and design techniques would make…

This instructional module examines a key function of science and technology: problem solving. It studies the meaning of problem solving, looks at techniques for problem solving, examines case studies that exemplify the problem-solving approach, presents problems for the reader to solve, and provides a student self-quiz. (Author/CT)

Describes results of a system rating study in which users responded to WPS (word processing software) questions. Study objectives were data collection and evaluation of variables; statistical quantification of WPS's contribution (along with other variables) to user satisfaction; design of an expert system to evaluate WPS; and database update and…

Contrasts artificial behavior with artificial intelligence, traces Law of Effect's development from a verbal statement into a mathematical model providing algorithms for artificial behavior programs, and describes an attempt to use computer graphics and animation to simulate behavior and teach abstract concepts. (MBR)

Reviews Logo programming language's developmental history, including Papert's vision, creation of LISP, and evolution of Logo from LISP; discusses reasons for Logo not becoming a commonplace programming language; describes Logo program design and its utility for serious programmers; and lists sources of further information on Logo. (MBR)

The author reviews Seymour Papert's "Mindstorms: Children, Computers and Powerful Ideas," looking at implications for the field of education when the child is programer. Evaluation of the computer as an innovation is needed before either the reactionary pessimists or the enthusiastic advocates can rest on solid ground. (MT)

Discusses various aspects of artificial intelligence, focusing on three interrelated issues: (1) representation of knowledge, which is roughly the machine equivalent of human memory; (2) control and use of knowledge, which corresponds to human abilities in problem solving and planning; and (3) the acquisition of knowledge, or what humans call…

Explores various issues, trends, and topics related to the impact and role of educational technology (particularly computers) on teaching and learning. Areas considered include how computers should be used, uses of such devices as interactive video for adult training, and the potential of artificial intelligence. (JN)

To break the bottleneck inherent in today's linear computer architectures, parallel schemes (which allow computers to perform multiple tasks at one time) are being devised. Several of these schemes are described. Dataflow devices, parallel number-crunchers, programing languages, and a device based on a neurological model are among the areas…

The field of Artificial Intelligence (AI) and Education has traditionally a technology-based focus, looking at the ways in which AI can be used in building intelligent educational software. In addition AI can also provide an excellent methodology for learning and reasoning from the human experiences. This paper presents the potential role of AI in…

Discusses recent progress in artificial intelligence in such narrowly defined areas as medical and electronic diagnosis. Also discusses use of expert systems, man-machine communication problems, novel programing environments (including comments on LISP and LISP machines), and types of knowledge used (factual, heuristic, and meta-knowledge). (JN)

Reviews the work of Yale computer scientist Roger C. Schank in the area of reading instruction and offers five reasons why his model of computer reading should not be applied to the reading processes of children. (FL)

Distinguishes between computer hardware and software and discusses status of software, application development productivity, software production, and research directions. (JN)