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Shiue, Ya-Ming – Journal of Educational Computing Research, 2007
Based on the decomposed theory of planned behavior, this study used path analysis to examine the relative strength of the factors that influence teachers' use of instructional technology. The study focused on teachers' use of word processors, spreadsheets, presentation software, e-mail, and Web browsers. A path analysis was performed on…
Descriptors: Foreign Countries, Path Analysis, Educational Technology, Courseware

Kay, Robin – Journal of Educational Computing Research, 1992
Review of research investigating gender differences in computer-related behavior examines statistical and methodological flaws. Issues addressed include sample selection, sample size, scale development, scale quality, the use of univariate and multivariate analyses, regressional analysis, construct definition, construct testing, and the…
Descriptors: Computers, Construct Validity, Literature Reviews, Research Methodology

Shavelson, Richard J.; And Others – Journal of Educational Computing Research, 1985
This study describes how elementary and secondary California teachers nominated as successful in their microcomputer-based instruction teach science and mathematics, and how their computer usage varies in relation to (1) teacher characteristics (computer and subject matter knowledge, and attitudes toward computers); and (2) district, school, and…
Descriptors: Cluster Analysis, Elementary Secondary Education, Interviews, Mathematics Instruction

Steinberg, Esther R.; And Others – Journal of Educational Computing Research, 1986
This study was conducted to determine whether students would use a computer-presented organizational/memory tool as an aid in problem solving, and whether and how locus of control would affect tool use and problem-solving performance. Learners did use the tools, which were most effective in the learner control with feedback condition. (MBR)
Descriptors: Artificial Intelligence, Feedback, Higher Education, Learning Strategies

Erwin, T. Dary; Nelson, Randall B. – Journal of Educational Computing Research, 1986
Describes development of a causal model to test effects of scholastic ability, computing attitudes, and computing background of university undergraduates on use of a computer-assisted instructional system, PLATO-LDEC; on attitudes toward PLATO-LDEC; on computing attitudes after students' PLATO-LDEC experience; and on course grade. (Author/MBR)
Descriptors: Academic Ability, Computer Assisted Instruction, Courseware, Engineering Education