This paper focuses on graphics and how they can be created, in real time, from information stored in a database, and the application of this technique to computer-assisted instruction (CAI). It is noted that this is a special case of the general trend towards endowing instructional systems with a degree of decision-making or design expertise, as…

Describes a model that displays structures necessary to map between the conceptual and external levels in database management systems, using an algorithm that maps the syntactic representations of tuples onto semantic representations. A technique for translating tuples into natural language sentences is introduced, and a system implemented in…

Presents an overview of the IR-NLI II system, an expert interface that allows users to access online information retrieval systems and that encompasses user modeling capabilities. Highlights include the design of the system, the structure and content of stereotypes that represent typical classes of users, and construction of user models.…

This document presents hypotheses about how much understanding a user needs to perform skillfully using a computer or a computer program. A framework for characterizing user understanding is presented which includes three criteria for evaluating the representation generated during problem solving: (1) internal coherence--whether the components of…

Arguing that sufficient theory exists about the interplay between human information processing, computer systems, and the demands of various tasks to construct useful theories of human-computer interaction, this study presents a structural model of human-computer interaction and reports the results of various statistical analyses of this model.…

Based on systematic observations of five experienced online searchers, this model compares two searching styles: operationalist, which aims at optimal strategies to achieve precise retrieval and uses a large range of system capabilities, and conceptualist, which analyzes the request by seeking to fit it into a faceted structure. (13 references)…

This paper describes a Prolog execution model which serves as the uniform basis of textbook material, video-based teaching material, and an advanced graphical user interface for Prolog programmers. The model, based upon an augmented AND/OR tree representation of Prolog programs, uses an enriched "status box" in place of the traditional…

This report incorporates a literature review, a workshop paper, and discussion by workshop participants on the current status of research on what the users of computer systems know, and how these different forms of knowledge fit together in learning and performance. It is noted that such research is important to the problem of designing systems…

Describes probabilistic document retrieval systems as a sequential learning process, in which the system learns the parameters of probability distributions describing the frequencies of feature occurrences in relevant and nonrelevant documents. Several techniques for estimating the parameters of distributions are described and the results of tests…

Presents a series of six prescriptions for constructing an authoring system that guides the instructional design process used to create computer-based lessons. The importance of providing opportunities for dynamic interaction between the program and the student is emphasized. (Author/LRW)

This report discusses the importance of presenting qualitative, causally consistent models in the initial stages of learning so that students can gain an understanding of basic electrical circuit concepts and principles that builds on their preexisting ways of reasoning about physical phenomena, and it argues that tutoring environments must help…

This survey of intelligent tutoring systems describes the components of these systems, different teaching scenarios, and the relation of these systems to a theory of instruction. It argues that the underlying pedagogical approach is to make latent knowledge manifest by using different forms of quantitative modeling: (1) simulating physical…

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…

MINDS (Multiple Intelligent Node Document Servers) is a distributed system of knowledge-based query engines for efficiently retrieving multimedia documents in an office environment of distributed workstations. By learning document distribution patterns and user interests and preferences during system usage, it customizes document retrievals for…

Reviews approaches to machine learning (development of techniques to automate acquisition of new information, skills, and ways of organizing existing information) in symbolic domains. Four categorical tasks addressed in machine learning literature are examined: learning from examples, learning search heuristics, learning by observation, and…