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Rockinson-Szapkiw, Amanda J.; Wendt, Jillian; Wighting, Mervyn; Nisbet, Deanna – International Review of Research in Open and Distributed Learning, 2016
The Community of Inquiry framework has been widely supported by research to provide a model of online learning that informs the design and implementation of distance learning courses. However, the relationship between elements of the CoI framework and perceived learning warrants further examination as a predictive model for online graduate student…
Descriptors: Graduate Students, Higher Education, Grades (Scholastic), Synchronous Communication
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Lacey, Anna; Cornell, Dewey – Journal of Applied School Psychology, 2013
Hierarchical regression analyses conducted at the school level found that the perceived prevalence of teasing and bullying was predictive of schoolwide passing rates on state-mandated achievement testing used to meet No Child Left Behind requirements. These findings could not be attributed to the proportion of minority students in the school,…
Descriptors: Bullying, Academic Achievement, Achievement Tests, Predictive Validity
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Kitsantas, Anastasia; Steen, Sam; Huie, Faye – International Electronic Journal of Elementary Education, 2009
The present study examined the predictiveness of self-regulated learning strategies and goal orientation of elementary students' academic achievement. Eighty one (n = 81) fifth graders were asked to respond to two scales. It was hypothesized that student achievement would be predicted by prior achievement, use of self-regulation strategies, and…
Descriptors: Elementary School Students, Academic Achievement, Learning Strategies, Independent Study
Buddeke, Veronica N. – 1969
Selected students at Marymount college of Virginia were tested to discover any differences between teacher-candidates who completed their training and those who did not and to see if certain characteristics or competencies correlated with achievement. Early prediction of success or dropout, in light of the great need for teachers, is important to…
Descriptors: Correlation, Persistence, Predictive Validity, Statistical Analysis