Descriptor
Author
Clancey, William J. | 4 |
Bock, Conrad | 1 |
Brusilovsky, P. L. | 1 |
Johnson, Brian L. | 1 |
Murray, William R. | 1 |
Stanchev, Ivan | 1 |
Thompson, Timothy F. | 1 |
Publication Type
Reports - Research | 6 |
Journal Articles | 3 |
Information Analyses | 2 |
Opinion Papers | 1 |
Education Level
Audience
Researchers | 3 |
Location
USSR | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Clancey, William J.; Bock, Conrad – 1985
A poorly designed knowledge base can be as cryptic as an arbitrary program and just as difficult to maintain. Representing inference procedures abstractly, separately from domain facts and relations, makes the design more transparent and explainable. The combination of abstract procedures and relational language for organizing domain knowledge…
Descriptors: Classification, Computer System Design, Expert Systems, Identification

Clancey, William J. – 1986
The concept of a qualitative model provides a unifying perspective for understanding how expert systems differ from conventional programs. Knowledge bases contain qualitative models of systems in the world, that is, primarily non-numeric descriptions that provide a basis for explaining and predicting behavior and formulating action plans. The…
Descriptors: Computer Simulation, Computer System Design, Expert Systems, Inferences
Murray, William R. – 1988
This paper compares two alternative computer architectures that have been proposed to provide the control mechanism that enables an intelligent tutoring system to decide what instructional action to perform next, i.e., discourse management networks and blackboards. The claim that an intelligent tutoring system controlled by a blackboard…
Descriptors: Comparative Analysis, Computer Assisted Instruction, Computer System Design, Design Requirements

Johnson, Brian L.; And Others – Computers and Education, 1990
Discusses the teaching consultant process in computer programing courses, describes a teaching consultant model from both the teachers' and students' perspectives, and shows how this model can be used to develop an intelligent teaching consultant (ITC). Differences between this collection of expert systems and conventional intelligent tutoring…
Descriptors: Computer Assisted Instruction, Computer Science Education, Computer System Design, Expert Systems

Thompson, Timothy F.; Clancey, William J. – 1986
This report describes the application of a shell expert system from the medical diagnostic system, Neomycin, to Caster, a diagnostic system for malfunctions in industrial sandcasting. This system was developed to test the hypothesis that starting with a well-developed classification procedure and a relational language for stating the…
Descriptors: Artificial Intelligence, Classification, Clinical Diagnosis, Computer System Design

Stanchev, Ivan – Journal of Research on Computing in Education, 1990
Discussion of the portability of educational software focuses on the software design and development process. Topics discussed include levels of portability; the user-computer dialog; software engineering principles; design techniques for student performance records; techniques of courseware programing; and suggestions for further research and…
Descriptors: Academic Achievement, Computer Assisted Instruction, Computer Software Development, Computer System Design

Brusilovsky, P. L. – Educational and Training Technology International, 1992
Describes the integrated Intelligent Tutor, Environment and Manual for Introductory Programing (ITEM/IP), which supports a course on computer programing based on the minilanguage Turingal. Discussion covers system design, including design philosophy, system overview, concepts included and information structure, programing laboratory mode,…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Science Education, Computer System Design

Clancey, William J. – 1986
The concept of a qualitative model is used as the focus of this review of qualitative student models in order to compare alternative computational models and to contrast domain requirements. The report is divided into eight sections: (1) Origins and Goals (adaptive instruction, qualitative models of processes, components of an artificial…
Descriptors: Artificial Intelligence, Cognitive Structures, Computer Assisted Instruction, Computer System Design