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Download full textMagliaro, Susan; Burton, John K. – 1986
To investigate what children learn during computer programming instruction, students attending a summer computer camp were asked to recall either single lines or chunks of computer programs from either coherent or scrambled programs. The 16 subjects, ages 12 to 17, were divided into three instructional groups: (1) beginners, who were taught to…
Descriptors: Adolescents, Analysis of Variance, Cognitive Ability, Computer Science Education
Miura, Irene T. – 1986
The purpose of this study was to investgate the role of self-efficacy expectations in understanding gender differences in the election of college computer science courses. Participants were 368 undergraduate students (males=104, females=264) enrolled in a course fulfilling a general education requirement at a large urban university. A two-page…
Descriptors: Analysis of Variance, College Students, Computer Literacy, Computer Science
Peer reviewedCafolla, 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
Peer reviewedGreer, 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
Peer reviewedOman, 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
Gressard, Clarice P.; Loyd, Brenda H. – 1985
The effectiveness of multiple matrix sampling was examined in a study of 495 students' attitudes toward a computer education program. A post hoc analysis of variance was used, with the class as the unit of analysis. The Computer Attitude Scale, a 30-item rating scale, was used to measure attitudes toward learning about and working with computers.…
Descriptors: Analysis of Variance, Attitude Measures, Class Size, Classroom Research
