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Levine, Lawrence H.; Loerinc, Beatrice M. – Journal of Educational Technology Systems, 1985
Investigates effectiveness of advance organizers for teaching functioning and use of compilers to undergraduate students in computer science courses. Two experimental groups used the advance organizer while two control groups did not. Findings indicate that an explicitly concept-directed organizer is effective in providing a framework for…
Descriptors: Advance Organizers, Computer Science Education, Higher Education, Instructional Design

Sorge, Dennis H.; Wark, Lois K. – AEDS Journal, 1984
Describes a study of computer science majors conducted at Purdue University to determine what factors predict academic success or lack of it. Results show that strength in mathematical and verbal skills is necessary for success as indicated by SAT scores, minimum number of high school mathematics credits, and class standing. (MBR)
Descriptors: Academic Achievement, Admission Criteria, Computer Science Education, Educational Research

Dologite, D. G. – Journal of Educational Technology Systems, 1988
Discusses the results of an ongoing research study to measure college students' microcomputer literacy before taking a microcomputer course. A brief review of the literature on computer literacy is provided, a comparative analysis of results is given, and a microcomputer literacy index is described that measures literacy and ranks students.…
Descriptors: Comparative Analysis, Computer Literacy, Computer Science Education, Computer Software
Strober, Myra H.; Arnold, Carolyn L. – 1984
This discussion of the impact of new computer occupations on women's employment patterns is divided into four major sections. The first section describes the six computer-related occupations to be analyzed: (1) engineers; (2) computer scientists and systems analysts; (3) programmers; (4) electronic technicians; (5) computer operators; and (6) data…
Descriptors: Computer Science, Employed Women, Employment Practices, Equal Opportunities (Jobs)

Szymczuk, Michael; Frerichs, Dean – AEDS Journal, 1985
Describes an investigation which assessed predictive value of Iowa Test of Educational Development, Science Research Associates Inc.'s Computer Programming Aptitude Battery, and Wolfe Programming Aptitude Test for predicting secondary school students' success in computer science courses, to develop a prediction model, and to estimate mastery…
Descriptors: Academic Aptitude, Computer Science, Correlation, Educational Research

Cafolla, Ralph – Journal of Educational Technology Systems, 1988
Describes a study designed to determine if college students' success in writing computer programs is related to level of cognitive development as described by Piaget, verbal ability, and mathematics reasoning. Regression analysis showed that level of cognitive development, when combined with verbal reasoning, is linearly predictive of programming…
Descriptors: Academic Achievement, Analysis of Variance, Cognitive Development, Computer Science Education

Takayama, Masaya – Information Services and Use, 1986
Describes the methodology and results of a study that examined information flow at the technological research front by analyzing a Japanese national project in computer technology. Various formats of information dissemination are identified, and a classification of researchers and engineers by information transfer activities is presented. (4…
Descriptors: Citation Analysis, Computer Science, Developed Nations, Foreign Countries

Greer, Jim – AEDS Journal, 1986
Reviews a study of 117 students at the University of Saskatchewan which examined the relationship between high school computer experience and university achievement in introductory computer science. The pretests used are described, findings are analyzed, and student withdrawal patterns are discussed. (Author/LRW)
Descriptors: Academic Achievement, Analysis of Variance, Computer Science Education, Correlation

Oman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education