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Showing 1 to 15 of 27 results Save | Export
Wesley Jeffrey – ProQuest LLC, 2024
Sociologists of education have a longstanding interest in studying the relationship between schooling and inequality in society. While we know education matters for who gets ahead, we still know relatively less about the processes and mechanisms behind this relationship. In my dissertation, I focus on higher education as a key site where…
Descriptors: Academic Rank (Professional), Higher Education, Social Networks, Correlation
Tennessee Higher Education Commission, 2024
The 2024 Articulation and Transfer Report provides an update on the progress made toward full articulation between public institutions in Tennessee. This report uses data from National Student Clearinghouse Student Tracker (NSC), the Tennessee Higher Education Commission's Student Information System (THECSIS), and the Tennessee Board of Regents…
Descriptors: Articulation (Education), Higher Education, Data Analysis, Transfer Rates (College)
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Schuck, Amie M. – Research in Higher Education, 2017
The goal of this study is to evaluate the effect of crime and discipline on graduation rates in higher education. Using national data on more than 1250 public and private non-profit institutions that were drawn from the Integrated Postsecondary Education Data System, the results reveal that more violence on and around campus is associated with…
Descriptors: Crime, Discipline, Academic Achievement, Graduation Rate
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Montgomery, Amanda P.; Mousavi, Amin; Carbonaro, Michael; Hayward, Denyse V.; Dunn, William – British Journal of Educational Technology, 2019
Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL…
Descriptors: Blended Learning, Educational Technology, Higher Education, Undergraduate Students
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Alturkistani, Abrar; Car, Josip; Majeed, Azeem; Brindley, David; Wells, Glenn; Meinert, Edward – International Association for Development of the Information Society, 2018
Massive Open Online Courses (MOOCs) are widely used to deliver specialized education and training in different fields. Determining the effectiveness of these courses is an integral part of delivering comprehensive, high-quality learning. This study is an evaluation of a MOOC offered by Imperial College London in collaboration with Health iQ…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Witmer, Hope; Johansson, Jonas – International Journal for Educational Integrity, 2015
The purpose of this study is to identify if gender differences exist with respect to conviction of university students for academic dishonesty. To investigate this phenomenon, data from the Swedish National Agency for Higher Education (SNAHE) and from disciplinary boards of several Swedish universities were evaluated from a gender perspective. To…
Descriptors: Ethics, Cheating, Gender Differences, Data Analysis
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Chen, Chen-Tung; Chang, Kai-Yi – EURASIA Journal of Mathematics, Science & Technology Education, 2017
The phenomenon of low fertility has been negatively impacted on the social structure of the educational environment in Taiwan. To increase the learning effectiveness of students became the most important issue for the Universities in Taiwan. Due to the subjective judgment of evaluators and the attributes of influenced factors are always fuzzy, it…
Descriptors: Data Collection, Data Analysis, Foreign Countries, Higher Education
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Heileman, Gregory L.; Babbitt, Terry H.; Abdallah, Chaouki T. – Change: The Magazine of Higher Learning, 2015
Many institutions are trying to better understand the factors that drive student success and failure in order to improve the efficiency of degree production. Traditional academic reporting systems are not adequate for this purpose, since they are designed to measure outcomes, not to uncover the factors that influence them. To address this problem,…
Descriptors: Misconceptions, Academic Achievement, Academic Advising, Student Characteristics
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Bartlett, Michelle E.; Bartlett, James E. – Journal of Educators Online, 2016
A qualitative case study research design provided an in-depth perspective of the participants in relation to understanding the holistic impact technology has on the incivility of student-to-student and student-to-faculty interactions in higher education. The conceptual framework by Twale and Deluca (2008), based upon Salin's (2003) proposed model…
Descriptors: Qualitative Research, Case Studies, Influence of Technology, Antisocial Behavior
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Firat, Mehmet – Journal of Information Technology Education: Research, 2016
Two of the most important outcomes of learning analytics are predicting students' learning and providing effective feedback. Learning Management Systems (LMS), which are widely used to support online and face-to-face learning, provide extensive research opportunities with detailed records of background data regarding users' behaviors. The purpose…
Descriptors: Academic Achievement, Integrated Learning Systems, Electronic Learning, Management Systems
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Chung, Gregory K. W. K. – Teachers College Record, 2014
Background: Historically, significant advances in scientific understanding have followed advances in measurement and observation. As the resolving power of an instrument increased, so have gains in the understanding of the phenomena being observed. Modern interactive systems are potentially the new "microscopes" when they are…
Descriptors: Online Systems, Data Analysis, Data Collection, Data Interpretation
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Chen, Rong; DesJardins, Stephen L. – Journal of Higher Education, 2010
This study focuses on the differences in college student dropout behavior among racial/ethnic groups. We employ event history methods and data from the Beginning Postsecondary Students (BPS) and National Postsecondary Student Aid Study (NPSAS) surveys to investigate how financial aid may differentially influence dropout risks among these student…
Descriptors: Access to Education, Higher Education, College Students, At Risk Students
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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Smith, William L.; Zhang, Pidi – College Student Journal, 2009
This paper investigates one aspect of the transition of students from high school to college. It assesses whether students who had an academic ethic in high school performed better in their first semester of college than students who did not possess an academic ethic in high school. Survey data were collected from students at a medium-sized state…
Descriptors: High Schools, Developmental Continuity, School Orientation, Higher Education
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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