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Marchand, Gwen C.; Gutierrez, Antonio P. – Internet and Higher Education, 2012
As the presence of online and hybrid coursework at institutions of higher education has increased, so too has interest among educators and scholars in understanding personal and contextual factors that predict success in different types of learning environments. The purpose of the present study was to examine the relations among temporally-ordered…
Descriptors: Graduate Students, Self Efficacy, Research Methodology, 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
Keeves, J. P. – 1974
In this paper, personality characteristics of the students and their performance at school are linked together. The performance cycle model of 12 months duration used here contains causal relationships between initial achievement, the mediating variables of academic motivation and attentiveness, and final achievement. A random sample of 215…
Descriptors: Academic Achievement, Attention, Educational Research, Family Environment
Hilton, Thomas L.; And Others – 1985
Since the mean score for a sample composed of several subgroups can be viewed as the sum of the mean of each subgroup weighted by the proportional size of the subgroup, then the mean change in a time period--in this case, from 1972 to 1980--is the sum of the differences between the means for each subgroup, with each mean weighted by its…
Descriptors: Analysis of Covariance, Cohort Analysis, Cross Sectional Studies, Educational Trends