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Download full textHein, Vanessa; Smerdon, Becky; Sambolt, Megan – College and Career Readiness and Success Center, 2013
The purpose of this brief is to provide information to state, district, and school personnel seeking support to determine whether their students are on a path to postsecondary success. The College and Career Readiness and Success Center (CCRS Center) has received technical assistance requests from a number of states regarding factors that predict…
Descriptors: Predictor Variables, Postsecondary Education, Success, College Readiness
Peer reviewedSeeley, Ken – NASSP Bulletin, 1985
Discusses alienation as a cause of underachievement, antisocial behavior, and indifference among gifted adolescents; suggests educational implications on the basis of a theory that distinguishes between crystallized intelligence and fluid intelligence. (MCG)
Descriptors: Adolescents, Antisocial Behavior, Behavior Problems, Cognitive Style
Peer reviewedTurvey, Joel S. – NASSP Bulletin, 1986
Increased pressure is facing many administrators today for teachers to assign more homework to students. Recent research is reviewed that correlates homework positively with student achievement, and the need for a homework policy in school districts is emphasized. (TE)
Descriptors: Academic Achievement, Achievement Gains, Assignments, Educational Research
Papalewis, Rosemary – 1990
This paper explores the common elements identified as context variables that may effect student evaluation of instruction, and presents literature from sociology, anthropology, and linguistics that offers renewed challenges to researchers in this area of data interpretation. The common context variables that are seen as effecting student…
Descriptors: Context Effect, Data Interpretation, Ethnic Bias, Higher Education
Peer reviewedNoble, Grant; O'Connor, Steve – College and Research Libraries, 1986
A 15-item questionnaire was administered on the online catalog terminals at the University of New England (Australia) to assess student attitudes toward computer technology and the new online catalog, and identify predictors of future online catalog use. Data analyses defined two groups of respondents: "reluctant users" and "naive enthusiasts."…
Descriptors: Academic Libraries, Attitude Measures, Computers, Discriminant Analysis
