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Dyer, Kelly; Childers, Gina; Odell, Michael R. L. – Journal of Advanced Academics, 2022
Enrollment in dual credit classes has increased over the last 10 years benefiting K-20 education and high school students in providing an opportunity to obtain college credits and increasing postsecondary education enrollment. The purpose of this study was to investigate the predictors of achievement through the lens of Social Cognitive Theory by…
Descriptors: Predictor Variables, Academic Achievement, Dual Enrollment, Secondary School Students
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Liang, Jian-Hua; Heckman, Paul E.; Abedi, Jamal – Journal of Advanced Academics, 2018
This study examines the power of cognitive and noncognitive variables to predict students' performance in algebra. We investigated students' prior year's assessment scores and demographic characteristics to predict eighth-grade algebra scores. Using California statewide assessment data, we explored predictive factors in three regression models.…
Descriptors: Algebra, Grade 8, Predictor Variables, Prior Learning
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Foreman, Jennifer L.; Gubbins, E. Jean – Journal of Advanced Academics, 2015
Teacher nominations of students are commonly used in gifted and talented identification systems to supplement psychometric measures of reasoning ability. In this study, second grade teachers were requested to nominate approximately one fourth of their students as having high learning potential in the year prior to the students' participation in a…
Descriptors: Academically Gifted, Talent Identification, Psychometrics, Elementary School Teachers
Nihalani, Priya K.; Wilson, Hope E.; Thomas, Gregory; Robinson, Daniel H. – Journal of Advanced Academics, 2010
The notion that greater learning outcomes will be achieved if the cognitive work is distributed amongst a group of individuals working together versus working alone has received mixed support when explored empirically (e.g., Daiute & Dalton 1993; Johnson & Johnson, 1991). This study examined the relationship between small-group…
Descriptors: Academic Achievement, Attendance, Low Achievement, Cooperative Learning
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Young, Adena E.; Worrell, Frank C.; Gabelko, Nina H. – Journal of Advanced Academics, 2011
In this study, we used logistic regression to examine how well student background and prior achievement variables predicted success among students attending accelerated and enrichment mathematics courses at a summer program (N = 459). Socioeconomic status, grade point average (GPA), and mathematics diagnostic test scores significantly predicted…
Descriptors: Summer Programs, Grade Point Average, Academic Achievement, Diagnostic Tests