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Belser, Christopher T.; Shillingford, M. Ann; Daire, Andrew P.; Prescod, Diandra J.; Dagley, Melissa A. – Professional Counselor, 2018
The United States is facing a crisis with respect to filling job vacancies within science, technology, engineering, and math (STEM) industries and with students completing STEM undergraduate degrees. In addition, disparities exist for females and ethnic minorities within STEM fields. Whereas prior research has centered on disparities in STEM…
Descriptors: STEM Education, Majors (Students), Academic Persistence, Career Development
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Burgiel, Heidi; Sadler, Philip M.; Sonnert, Gerhard – ACM Transactions on Computing Education, 2020
The number of computer science (CS) courses has been dramatically expanding in U.S. high schools (HS). In comparison with well-established courses in mathematics and science, little is known about how the decisions made by HS CS teachers regarding how and what to teach impact student performance later in introductory college CS courses. Drawing on…
Descriptors: Computer Science Education, High School Students, College Students, High School Teachers
Sugrue, Paul K. – Journal of Student Financial Aid, 2010
The allocation of merit-based financial aid during the college admissions process presents postsecondary institutions with complex and financially expensive decisions. This article describes the application of linear programming as a decision tool in merit based financial aid decisions at a medium size private university. The objective defined for…
Descriptors: Private Colleges, Mathematical Applications, Student Financial Aid, College Admission
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Gonsalves, Joanna – Journal of the National Collegiate Honors Council, 2017
Improving rates of honors program completion is a goal of virtually all honors directors and deans, and research can help identify and evaluate promising strategies. A number of recent empirical studies have investigated predictors of program completion, including students' admission credentials and honors program features. Though specific…
Descriptors: Honors Curriculum, Predictor Variables, College Admission, Program Descriptions
Griffen, Ron – ProQuest LLC, 2013
Underrepresented high school students must be effectively prepared for postsecondary education. Ensuring that all students graduate from high school college-ready is requiring educators to rethink traditional programming in an attempt to better meet the needs of all students. Therefore, the utilization of college preparation programs such as…
Descriptors: Academic Achievement, Improvement Programs, Demonstration Centers, Disproportionate Representation
Koop, Brian J. – ProQuest LLC, 2010
School districts looking for ways to minimize summer learning loss have implemented a variety of programs to combat this problem. Since No Child Left Behind and the need for school districts to meet the goals of Adequate Yearly Progress, it is no longer enough to limit summer learning loss. Now school leaders find it necessary to use the summer…
Descriptors: Futures (of Society), Summer Schools, Reading Comprehension, Summer Programs
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VanTassel-Baska, Joyce – NASSP Bulletin, 1985
The Midwest Talent Search Project is an effort to identify and provide an appropriate accelerated curriculum for gifted secondary school students in the midwest. Many aspects of the project are discussed here, including testing, programming, benefits, and implications for curriculum reform. (Author/MCG)
Descriptors: Academically Gifted, Curriculum Development, Educational Benefits, Needs Assessment
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Ventura, Philip R., Jr. – Computer Science Education, 2005
The paper reports on an examination of predictors of success for an "objects-first" course. The predictors considered included prior programming experience, mathematical ability, academic and psychological variables, gender, and measures of student effort. Cognitive and academic factors such as SAT scores and critical thinking ability…
Descriptors: Academic Achievement, Predictor Variables, Computer Science Education, Programming