Presents 2 complementary techniques for promoting success in computer-based exploration environments for arithmetic instruction. Semantic constraints are explained, heuristic guidance is discussed, use of the techniques for subtraction instruction is described, and field testing with students in grades 1-3 is briefly discussed. (25 references)…

Applications to computer-assisted instruction, in which students are led through heuristic processes, are discussed. A greater impact can be expected on America's prose from word-processing software and from the use of the microcomputer as an instrument for writing rather than for the teaching of writing. (MLW)

The development of computer-assisted and computer-managed instruction for handicapped students involves a number of instructional design issues requiring research. Discussed are algorithmic and heuristic procedures, individual rate of learning, feedback, and instructional task hierarchies.(Author/DB)

This paper defines the next generation of intelligent computer-assisted instructional systems (ICAI) by depicting the elaborations and extensions offered by educational research and theory perspectives to enhance the ICAI environment. The first section describes conventional ICAI systems, which use expert systems methods and have three modules: a…

Teaching invention strategies on the computer offers solutions to the problems of selection and presence by providing a variety of invention strategy alternatives. These strategies inform the teacher of the rhetorical task at hand and allow communication to exist at all stages of writing. A writer using a computer and a pool of heuristic…

Current notions of metacognition merge with the predominant scientific model used in psychology, that of information processing. Metacognition is seen as a control process that governs the action of more elemental cognitive skills. Given the centrality of this notion, it is important that metacognition should be examined in detail. From the point…

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…

Written in the form of a workshop transcript for participants to take with them, this booklet is designed to present new ideas, reinforce ideas covered in the workshop, suggest applications of workshop content, and encourage participants to use the applications. The concept of "problem" is defined; key ideas in problem solving are considered;…

Reviews the use of computers in the teaching and practice of writing in university courses. Highlights include hardware considerations; software options for grammar, punctuation, stylistic analysis, and prewriting (or invention) skills; artificial intelligence, composition, and literature; collaborative learning; and faculty development. (LRW)

Evaluates several views of the relationship between computers and education, and criticizes the use of artificial intelligence and natural language processing software for evaluating student writing. Recommends utilizing programs that use heuristic methods to ask students a series of questions to help them organize and compose papers. (SKC)

Discusses the implementation of interactive educational software that was designed to enhance critical thinking, scientific reasoning, and problem solving in a university psychology course. Piagetian and computer learning perspectives are explained; the courseware package, PsychWare, is described; and the use of heuristics and algorithms in…

Distinguishes between using microcomputers for wordprocessing, drills, and repetitive tasks in mechanics and vocabulary and using them for alternative methods of presenting, reviewing, and testing course materials. Argues software for computer assisted writing instruction should address significant writing problems, approach writing from a true…