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| Atnip, Gilbert W. | 1 |
| Cole, Michael | 1 |
| Eisenstadt, Marc | 1 |
| Lieberman, Henry | 1 |
| Lopez, Antonio M., Jr. | 1 |
| Manzo, Anthony V. | 1 |
| Reiser, Brian J. | 1 |
| Rowe, Neil | 1 |
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Peer reviewedLieberman, Henry – Instructional Science, 1986
Describes a programming environment called Tinker, in which a beginning programmer presents examples to the machine, distinguishing accidental and essential aspects of the examples. Examples of programming in Tinker are presented in which programmers demonstrate how to handle specific examples and the machine formulates a procedure for handling…
Descriptors: Artificial Intelligence, Decision Making, Educational Environment, Feedback
Reiser, Brian J. – 1989
The pedagogical strategies of human tutors in problem solving domains are described and the possibility of incorporating these techniques into computerized tutors is examined. GIL (Graphical Instruction in LISP), an intelligent tutoring system for LISP programming, is compared to human tutors teaching the same material in order to identify how the…
Descriptors: Artificial Intelligence, Cognitive Processes, Comparative Analysis, Computer Assisted Instruction
Cole, Michael; And Others – 1983
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…
Descriptors: Artificial Intelligence, Cognitive Processes, Cooperation, Design Requirements
Rowe, Neil – 1976
Student projects that involve writing generative grammars in the computer language, "LOGO," are described in this paper, which presents a grammar-running control structure that allows students to modify and improve the grammar interpreter itself while learning how a simple kind of computer parser works. Included are procedures for…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Oriented Programs, Elementary Secondary Education
Atnip, Gilbert W. – 1985
This paper describes an undergraduate-level course designed to teach the applications of computers that are most relevant in the social sciences, especially psychology. After an introduction to the basic concepts and terminology of computing, separate units were devoted to word processing, data analysis, data acquisition, artificial intelligence,…
Descriptors: Artificial Intelligence, Computer Literacy, Computer Simulation, Course Content
Eisenstadt, Marc – 1982
This paper describes the results of a 6-year period of design, implementation, testing, and iterative redesign of a programming language, user aids, and curriculum materials for use by psychology students learning how to write simple computer programs. The SOLO language, which was the resulting product, is primarily a simple, database…
Descriptors: Artificial Intelligence, Computer Programs, Databases, Design Requirements
Computing Teacher, 1985
Defines computer literacy and describes a computer literacy course which stresses ethics, hardware, and disk operating systems throughout. Core units on keyboarding, word processing, graphics, database management, problem solving, algorithmic thinking, and programing are outlined, together with additional units on spreadsheets, simulations,…
Descriptors: Artificial Intelligence, Computer Graphics, Computer Literacy, Computer Simulation
Manzo, Anthony V. – 1981
This paper discusses computers and their potential role in education. The term "byte" is first explained, to emphasize the idea that the use of computers should be implemented one "byte" or step at a time. The reasons for this approach are then outlined. Potential applications in computer usage in educational administration are suggested, computer…
Descriptors: Access to Computers, Artificial Intelligence, Computer Assisted Instruction, Computer Literacy
Peer reviewedLopez, Antonio M., Jr. – Mathematics and Computer Education, 1989
Provides background material on logic programing and presents PROLOG as a high-level artificial intelligence programing language that borrows its basic constructs from logic. Suggests the language is one which will help the educator to achieve various goals, particularly the promotion of problem solving ability. (MVL)
Descriptors: Artificial Intelligence, College Science, Computer Science, Computer Science Education


