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Kim, Young K.; Collins, Christopher S.; Rennick, Liz A.; Edens, David – Journal of International Students, 2017
Using a large dataset from a state education system, this study examined the experience of international college students in the United States as well as the connection to their cognitive, affective, and civic outcomes. The study utilized data from the 2010 University of California Undergraduate Experience Survey (UCUES) and a sample of 35,146…
Descriptors: Educational Experience, Foreign Students, Undergraduate Students, Research Universities
Huang, SuHua; Capps, Matthew; Blacklock, Jeff; Garza, Mary – Reading Psychology, 2014
This study employed a convergent mixed-method research design to investigate reading habits of American college students. A total of 1,265 (466 male and 799 female) college students voluntarily participated in the study by completing a self-reported survey. Twelve students participated in semi-structured interviews and classroom observations.…
Descriptors: College Students, Mixed Methods Research, Reading Habits, Student Surveys
Banatao, Eric J. – Online Submission, 2011
Educators are increasingly pressured to raise standardized test scores. Test-focused school leaders, however, may neglect school climate factors associated with positive student development and increased student achievement. The California Healthy Kids Survey (CHKS) and its Resilience Youth Development Module (RYDM) represent a research-based,…
Descriptors: Resilience (Psychology), Standardized Tests, Academic Achievement, Educational Change

Jackson, David F.; And Others – Journal of Educational Computing Research, 1992
Describes a study of high school students that investigated the use of microcomputers to teach principles relating to the design and interpretation of graphs. Results related to student achievement, higher order thinking skills, and behavioral protocols are discussed. A sample assignment sheet and test questions are appended. (66 references) (LRW)
Descriptors: Academic Achievement, Analysis of Variance, Cluster Analysis, Computer Assisted Instruction