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Showing 1 to 15 of 52 results Save | Export
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Khan, Anupam; Ghosh, Soumya K. – Education and Information Technologies, 2018
Analysing the behaviour of student performance in classroom education is an active area in educational research. Early prediction of student performance may be helpful for both teacher and the student. However, the influencing factors of the student performance need to be identified first to build up such early prediction model. The existing data…
Descriptors: Data Collection, Data Analysis, Educational Research, Performance
Perry, Chantel A. – Online Submission, 2018
This study aims to develop a list of technological enhancements to a financial aid analytics application (F3A) designed to assist higher education leaders in gaining actionable insights for decision-making with grants optimization. This research utilizes the Design Science Research framework which highlights the design and evaluation of an IT…
Descriptors: Computer Software, Student Financial Aid, Data Analysis, Higher Education
Campaign for College Opportunity, 2019
With over 37 million residents, California is the most populous state in the country. California's primary and secondary schools enroll over 6.2 million students,1 and there are 3.4 million undergraduates attending 683 postsecondary institutions in California. Yet, because of the lack of a strong data infrastructure, we are unable to answer basic…
Descriptors: Data Collection, Data Analysis, Higher Education, Access to Education
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Spronken-Smith, Rachel; Cameron, Claire; Quigg, Robin – Assessment & Evaluation in Higher Education, 2018
This exploratory study determined PhD completions at a research-intensive university in New Zealand and considered factors affecting PhD completions. Completion data were calculated for PhD cohorts at the University of Otago from 2000 to 2012 (n = 2770) and survival models determined whether gender, enrolment status, age at admission, citizenship,…
Descriptors: Foreign Countries, Case Studies, Performance Factors, Research Universities
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Vanwynsberghe, Griet; Vanlaar, Gudrun; Van Damme, Jan; De Fraine, Bieke – School Effectiveness and School Improvement, 2017
Although the importance of primary schools in the long term is of interest in educational effectiveness research, few studies have examined the long-term effects of schools over the past decades. In the present study, long-term effects of primary schools on the educational positions of students 2 and 4 years after starting secondary education are…
Descriptors: Secondary Education, School Effectiveness, Elementary Secondary Education, Followup Studies
Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
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Friedel, Janice Nahra; Friesleben, Kelly L. – Community College Journal of Research and Practice, 2017
Postbaccalaureate reverse transfer students (PRTSs) are students that enroll at a community college after completion of at least a bachelor's degree. This study expanded the definition of PRTSs by including students that had completed an associate's degree prior to enrolling at a community college. This report is an exploratory, descriptive study…
Descriptors: Reverse Transfer Students, Community Colleges, Demography, Educational Background
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Fendler, Richard J.; Ruff, Craig; Shrikhande, Milind – American Journal of Distance Education, 2016
This study compared the characteristics of students who excel (those in the top quarter of their class) and students who merely survive (bottom quarter of class) when attending a course either in-class or online. Student characteristics such as personal attributes (learning styles and gender), individual competence (grade point average), and major…
Descriptors: Online Courses, Conventional Instruction, Ability Grouping, High Achievement
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Connell, Michael W.; Johnston, Sam Catherine; Hall, Tracey E.; Stahl, William – Journal of Online Learning Research, 2017
Within blended learning environments, the availability and analysis of student data has emerged as a central issue. For struggling students, data generated by digital learning systems present new opportunities to investigate critical success factors. In reality, many seemingly basic questions about persistence, progress, and performance of these…
Descriptors: Educational Technology, Technology Uses in Education, Disabilities, Online Courses
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Raju, Dheeraj; Schumacker, Randall – Journal of College Student Retention: Research, Theory & Practice, 2015
The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…
Descriptors: Student Characteristics, Higher Education, Graduation Rate, Academic Persistence
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Greenberg Motamedi, Jason; Cox, Monica; Williams, Jacob; Deussen, Theresa – Regional Educational Laboratory Northwest, 2016
English learners and students with disabilities both need educational supports to succeed in school. However, the kinds of support these two groups of students need may be different, and not receiving appropriate supports may have negative consequences on student learning (Callahan, 2013; Scott, Boynton Hauerwas, and Brown, 2014). To provide…
Descriptors: Special Education, English Language Learners, Disabilities, Student Diversity
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Glennie, Elizabeth J.; Dalton, Ben W.; Knapp, Laura G. – Educational Policy, 2015
Using a nationally representative longitudinal data-set, we examine the influence of precollege access programs on high school achievement, college preparation, postsecondary enrollment, and postsecondary persistence. Results do not show much difference in the level of academic preparation between participants and non-participants. However,…
Descriptors: College Preparation, Access to Education, Transitional Programs, Program Effectiveness
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Aliaga, Oscar A.; Kotamraju, Pradeep; Stone, James R., III – High School Journal, 2014
We examine participation in Career and Technical Education (CTE) using a typology that better reflects the CTE credit-taking experience of all public high school students, and it is based on the several changes in academic requirements that all students need to meet in order to graduate, including those considered CTE students. We argue that the…
Descriptors: Participation, Vocational Education, High School Students, Graduation Requirements
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Grigg, Jeffrey; Borman, Geoffrey D. – Journal of School Choice, 2014
Despite the prevalence of charter schools in the United States, few experimental studies evaluate the impact of charter school attendance on students in the early elementary grades. Using data from a randomized lottery in which kindergarten students and their parents applied to two oversubscribed and well-established charter schools in Denver,…
Descriptors: Charter Schools, Reading Achievement, Mathematics Achievement, Scores
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