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Showing 1 to 15 of 36 results Save | Export
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Aom Perkash; Qaisar Shaheen; Robina Saleem; Furqan Rustam; Monica Gracia Villar; Eduardo Silva Alvarado; Isabel de la Torre Diez; Imran Ashraf – Education and Information Technologies, 2024
Developing tools to support students, educators, intuitions, and government in the educational environment has become an important task to improve the quality of education and learning outcomes. Information and communication technology (ICT) is adopted by educational institutions; one such instance is video interaction in flipped teaching.…
Descriptors: Academic Achievement, Colleges, Artificial Intelligence, Predictor Variables
Sahar Voghoei – ProQuest LLC, 2021
The importance of retention rate for higher education institutions has encouraged data analysts to present various methods to predict at-risk students. Their objective is to provide timely information that may enable educators to channel the most effective remedial treatments towards precisely targeted students in an efficient manner. The present…
Descriptors: Data Science, Academic Achievement, School Holding Power, Predictor Variables
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Bowen, Bradley D.; Wilkins, Jesse L. M.; Ernst, Jeremy V. – Journal of STEM Education: Innovations and Research, 2019
The problematic persistence rates that many colleges and schools of engineering encounter has resulted in ongoing conversations about academic readiness, retention, and degree completion within engineering programs. Although a large research base exists about student preparedness in engineering, many studies report a wide variety of factors that…
Descriptors: At Risk Students, Engineering Education, Graduation Rate, College Students
Marini, Jessica; Shaw, Emily; Young, Linda; Ewing, Maureen – College Board, 2018
This study investigated differences in college grading practices (first-year grade point average and course grades) by student and institutional characteristics and by academic discipline to inform and improve our understanding and use as among the most commonly employed criteria in validity and college readiness research. In addition, trends in…
Descriptors: Higher Education, Grading, College Students, Student Characteristics
Williams, Lindsey N. – ProQuest LLC, 2017
Postsecondary student performance has been studied in great detail by higher education systems and their stakeholders in attempts to identify what may contribute to increased rates of retention and degree completion. Research on predictors of postsecondary performance has focused significantly on the relationship between performance and…
Descriptors: College Students, Persistence, Academic Persistence, Academic Achievement
Swafford, Stacy James – ProQuest LLC, 2017
This study examined factors that may affect the retention of first-time, full-time college freshmen to sophomore year. Institutions in the Appalachian College Association (ACA) were invited to participate, and nine of the 35 member schools provided data. The research questions were (1) Is there a relationship between retention for students'…
Descriptors: School Holding Power, College Freshmen, Full Time Students, College Students
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Mengo, Cecilia; Black, Beverly M. – Journal of College Student Retention: Research, Theory & Practice, 2016
Violence against university students has significant impact on their mental health. The impact of violence on students' academic performance has received little attention. The primary purpose of this study is to examine the impact of sexual and physical/verbal violence on the academic performance of college students. Data from 74 case files of…
Descriptors: Violence, Victims, Grade Point Average, Dropouts
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Kim, Jinhee; Chatterjee, Swarn; Young, J.; Moon, U. J. – College Student Journal, 2017
Student loans have become a social-financial issue in the United States. This study uses a nationally representative dataset to examine the association between financial socialization and student loan borrowing behavior of individuals after controlling a number of different socio-demographic factors. Results show that the financial burdens of…
Descriptors: Student Loan Programs, Access to Education, Young Adults, Student Costs
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Prakhov, Ilya – Tertiary Education and Management, 2017
This paper examines the prevalence and the costs of pre-entry coaching programs before and after the introduction of the Unified State Examination in Russia. The efficiency of private tutoring under the new standardized university admission procedures is estimated. It is argued that the main types of pre-entry coaching are still in demand, however…
Descriptors: Incidence, Investment, Coaching (Performance), Efficiency
Darolia, Rajeev; Koedel, Cory – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2018
We use statewide administrative data from Missouri to examine the explanatory power of high schools over student sorting to colleges and majors at 4-year public universities. We develop a "preparation and persistence index" (PPI) for each university-by-major cell in the Missouri system that captures dimensions of selectivity and rigor…
Descriptors: Majors (Students), High School Students, College Choice, Predictor Variables
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Thiele, Tamara; Singleton, Alexander; Pope, Daniel; Stanistreet, Debbi – Studies in Higher Education, 2016
Students' trajectories into university are often uniquely dependent on school qualifications though these alone are limited as predictors of academic potential. This study endorses this, examining associations between school grades, school type, school performance, socio-economic deprivation, neighbourhood participation, sex and academic…
Descriptors: Predictor Variables, Student Characteristics, Academic Achievement, Correlation
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Stadler, Matthias J.; Becker, Nicolas; Greiff, Samuel; Spinath, Frank M. – Higher Education Research and Development, 2016
Successful completion of a university degree is a complex matter. Based on considerations regarding the demands of acquiring a university degree, the aim of this paper was to investigate the utility of complex problem-solving (CPS) skills in the prediction of objective and subjective university success (SUS). The key finding of this study was that…
Descriptors: Success, Predictive Validity, Predictor Variables, Problem Solving
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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
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Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
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Dvorak, Tomas; Jia, Miaoqing – Journal of Learning Analytics, 2016
This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…
Descriptors: Online Courses, Educational Technology, Study Habits, Academic Achievement
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