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Tisha L. N. Emerson; KimMarie McGoldrick – Journal of Economic Education, 2024
Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…
Descriptors: Microeconomics, Student Attrition, Withdrawal (Education), Academic Persistence
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Bozick, Robert; Gonzalez, Gabriella; Engberg, John – Journal of Student Financial Aid, 2015
The Pittsburgh Promise is a scholarship program that provides $5,000 per year toward college tuition for public high school graduates in Pittsburgh, Pennsylvania who earned a 2.5 GPA and a 90% attendance record. This study used a difference-in-difference design to assess whether the introduction of the Promise scholarship program directly…
Descriptors: Merit Scholarships, College Bound Students, Enrollment Influences, Enrollment Management
Jacob, Brian; Berger, Dan; Hart, Cassandra; Loeb, Susanna – Grantee Submission, 2016
This chapter assesses the potential for several prominent technological innovations to promote equality of educational opportunities. We review the history of technological innovations in education and describe several prominent innovations, including intelligent tutoring, blended learning, and virtual schooling.
Descriptors: Educational Technology, Equal Education, Educational Opportunities, Technological Advancement
Hansen, Michael – Journal of Educational Research, 2014
Present federal education policies promote learning in science, technology, engineering, and mathematics (STEM) and the participation of minority students in these fields. Using longitudinal data on students in Florida and North Carolina, value-added estimates in mathematics and science are generated to categorize schools into performance levels…
Descriptors: School Effectiveness, Effective Schools Research, Institutional Characteristics, Evidence
Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Reading Comprehension, Reading Achievement, Elementary School Students, Secondary School Students
Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Response to Intervention, Achievement Gains, High Stakes Tests, Prediction
Niemi, David; Gitin, Elena – International Association for Development of the Information Society, 2012
An underlying theme of this paper is that it can be easier and more efficient to conduct valid and effective research studies in online environments than in traditional classrooms. Taking advantage of the "big data" available in an online university, we conducted a study in which a massive online database was used to predict student…
Descriptors: Higher Education, Online Courses, Academic Persistence, Identification
Sykes, Andrea R.; Szuplat, Mary A.; Decker, Cynthia G. – Office of Career, Technical, and Adult Education, US Department of Education, 2014
Federal policymakers have interest in three specific areas of postsecondary career and technical education (CTE): associate degrees and certificates awarded in CTE, skills and training obtained through noncredit courses, and industry-recognized certifications. Research and data are readily available on students earning degrees and certificates in…
Descriptors: Educational Certificates, Vocational Education, Noncredit Courses, Outcomes of Education
Whitehurst, Grover J.; Chingos, Matthew M.; Gallaher, Michael R. – Brookings Institution, 2013
School districts occupy center stage in education reform in the U.S. They manage nearly all public funding and are frequently the locus of federal and state reform initiatives, e.g., instituting meaningful teacher evaluation systems. Financial compensation for district leaders is high, with many being paid more than the chief state school officers…
Descriptors: School Districts, Superintendents, Academic Achievement, Influences
Farazmand, Farideh A.; Green, Robert D. – Journal of Case Studies in Accreditation and Assessment, 2012
In response to the current challenges to undergraduate business education, this study examines seniors, and sophomores and juniors active, or applied learning outcomes (knowledge, skills, personal development). The sample includes 143 students (51 seniors and 92 sophomores and juniors) who participated in applied course projects. The data analysis…
Descriptors: College Seniors, College Freshmen, Achievement Gap, Achievement Gains
Rutschow, Elizabeth Zachry; Richburg-Hayes, Lashawn; Brock, Thomas; Orr, Genevieve; Cerna, Oscar; Cullinan, Dan; Kerrigan, Monica Reid; Jenkins, Davis; Gooden, Susan; Martin, Kasey – MDRC, 2011
In 2004, Lumina Foundation for Education launched "Achieving the Dream: Community Colleges Count," a national initiative aimed at improving success among community college students, particularly low-income students and students of color. Now encompassing more than 130 institutions in 24 states and the District of Columbia, Achieving the…
Descriptors: Research Methodology, Program Descriptions, Student Characteristics, College Administration
Sass, Tim R.; Hannaway, Jane; Xu, Zeyu; Figlio, David N.; Feng, Li – National Center for Analysis of Longitudinal Data in Education Research, 2010
This paper examines whether teachers in schools serving students from high-poverty backgrounds are as effective as teachers in schools with more advantaged students. The question is important. Teachers are recognized as the most important school factor affecting student achievement, and the achievement gap between disadvantaged students and their…
Descriptors: Teacher Effectiveness, Elementary Schools, Poverty, Educational Attainment

Carroll, Stephen J.; Relles, Daniel A. – 1975
Florida's decisionmakers need usable methods of obtaining information on the likely future demands their higher educational systems will have to meet. An analysis is made to provide the information and focuses on the problems of predicting freshman enrollment in the state's public colleges and universities, with particular attention given to the…
Descriptors: Data Analysis, Educational Assessment, Enrollment Rate, Enrollment Trends
Data Quality Campaign, 2010
Now that all 50 states and the District of Columbia are building statewide longitudinal data systems, the next step is to ensure that the information in these systems is used to improve student learning. The Data Quality Campaign (DQC) has identified 10 actions that states can take to ensure that the right data are available and accessible and…
Descriptors: Academic Achievement, Feedback (Response), High School Graduates, Graduation Rate
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