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Corey Rosso – ProQuest LLC, 2022
This study sought to better understand present-day relationships between institutional and programmatic characteristics and their impact on student outcomes at postsecondary career and technical schools. This is critical given: (a) the existence of a significant middle-skills gap impacting the U.S. economy; (b) a lack of research and guidance for…
Descriptors: Institutional Characteristics, Outcomes of Education, Academic Achievement, Vocational Education
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Krasodomska, Joanna; Godawska, Justyna – Accounting Education, 2021
In this study, we examined the relationship between university students' engagement in a blended learning course and their performance. We also explored the roles which gender and nationality may play in the learning process. Our sample consisted of 335 students of International Accounting course. We used 23,796 student access computer logs as a…
Descriptors: Accounting, Electronic Learning, Correlation, Blended Learning
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Narayanasamy, Senthil Kumar; Elçi, Atilla – International Journal of Distance Education Technologies, 2020
Due to tremendous reception on digital learning platforms, many online users tend to register for online courses in MOOC offered by many prestigious universities all over the world and gain a lot on cutting edge technologies in niche courses. As the reception of online courses is increasing on one side, there have been huge dropouts of…
Descriptors: Dropout Rate, Online Courses, Prevention, Universities
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Neely, Megan L.; Troy, Jesse D.; Gschwind, Gerald T.; Pomann, Gina-Maria; Grambow, Steven C.; Samsa, Gregory P. – Journal of Curriculum and Teaching, 2022
We describe an innovative preorientation curriculum (POC) for a Master of Biostatistics (MB) program. The goal of the POC is to fill critical skills gaps for students entering the MB program from heterogeneous backgrounds so they are prepared to engage in the program's rigorous, fast-paced training upon arrival. To achieve this goal, we introduce…
Descriptors: Masters Programs, Graduate Students, Biology, Statistics Education
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Nguyen, Quan; Poquet, Oleksandra; Brooks, Christopher; Li, Warren – International Educational Data Mining Society, 2020
Network analysis in educational research has primarily relied on self-reported relationships or connections inferred from online learning environments, such as discussion forums. However, a large part of students' social connections through day-to-day on-campus encounters has remained underexplored. The paper examines spatial-temporal student…
Descriptors: Social Networks, Network Analysis, Data Analysis, Computer Networks
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De Veyga, Guillermo A. – Strategic Enrollment Management Quarterly, 2016
This study examined the effect that variances in the"U.S. News & World Report" rankings have on enrollment trends and practices in both top and non-top 25 business schools. The purpose of this study was to determine whether mobility in the rankings was met with a statistically significant response to the research questions presented.…
Descriptors: Reputation, Enrollment Trends, Periodicals, Business Schools
Vriesema, Christine Calderon; Gehlbach, Hunter – Policy Analysis for California Education, PACE, 2019
Education researchers use surveys widely. Yet, critics question respondents' ability to provide high-quality responses. As schools increasingly use student surveys to drive policymaking, respondents' (lack of) motivation to provide quality responses may threaten the wisdom of using surveys for data-based decision-making. To better understand…
Descriptors: Data Analysis, Educational Policy, Decision Making, Student Attitudes
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Martín-Monje, Elena; Castrillo, María Dolores; Mañana-Rodríguez, Jorge – Computer Assisted Language Learning, 2018
Data mining is increasing its popularity in the research of Technology-Enhanced Language Learning and Applied Linguistics in general. It enables a better understanding of progress, performance and possible pitfalls, which would be useful for language learners, teachers and researchers. Until recently it was an unexplored field, but it is expected…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Shogren, Karrie A.; Garnier Villarreal, Mauricio; Dowsett, Chantelle; Little, Todd D. – Career Development and Transition for Exceptional Individuals, 2016
This study conducted secondary analysis of data from the National Longitudinal Transition Study-2 (NLTS2) to examine the degree to which student, family, and school constructs predicted self-determination outcomes. Multi-group structural equation modeling was used to examine predictive relationships between 5 student, 4 family, and 7 school…
Descriptors: Self Determination, Predictor Variables, Family Characteristics, Student Characteristics
Shogren, Karrie A.; Garnier Villarreal, Mauricio; Dowsett, Chantelle; Little, Todd D. – Grantee Submission, 2016
This study conducted secondary analysis of data from the National Longitudinal Transition Study-2 (NLTS2) to examine the degree to which student, family, and school constructs predicted self-determination outcomes. Multi-group structural equation modeling was used to examine predictive relationships between 5 students, 4 family, and 7 school…
Descriptors: Self Determination, Predictor Variables, Family Characteristics, Student Characteristics
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McLaughlin, Jacqueline E.; McLaughlin, Gerald W.; McLaughlin, Josetta – Journal of Higher Education Policy and Management, 2015
The role and impact of diversity in higher education has permeated conversations about student access and achievement for many years. Language articulated by various courts suggests that higher education policies should reflect a broad conceptualisation of diversity beyond that of the magnitude and proportion of race and ethnicity, yet…
Descriptors: Student Diversity, Higher Education, Measurement Techniques, Court Litigation
Li, Dan; Benton, Stephen L.; Brown, Ron; Sullivan, Patricia; Ryalls, Kenneth R. – IDEA Center, Inc., 2016
This report describes statistical analyses performed on data collected in the Spring of 2015 from the pilot study of proposed revised and new items in the IDEA Student Ratings of Instruction (SRI) system. Described are the methods employed, results obtained, and decisions made in selecting items for the updated instruments. The procedures occurred…
Descriptors: Statistical Analysis, Rating Scales, Student Evaluation of Teacher Performance, Course Evaluation
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Miyamoto, Yohsuke R.; Coleman, Cody A.; Williams, Joseph Jay; Whitehill, Jacob; Nesterko, Sergiy; Reich, Justin – Journal of Learning Analytics, 2015
A long history of laboratory and field experiments have demonstrated that dividing study time into many sessions is often superior to massing study time into few sessions, a phenomenon known as the "spacing effect." We use this well-established finding from the psychology literature as inspiration for investigating how students…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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Pardos, Zachary A. – Journal of Learning Analytics, 2015
In Miyamoto et al. (2015, this issue) the authors looked to substantiate the presence of the spacing effect, referenced from the psychology literature, in several MOOCs. Their secondary analyses constituted a robust, empirical finding on the correspondence between session distribution and certification but with only a coarse, analogous…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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Demanet, Jannick; Van Houtte, Mieke – School Effectiveness and School Improvement, 2013
Few studies with respect to grade retention and school-disruptive behavior have focused on adolescence. Moreover, previous retention research has ignored multilevel issues. This study aims to fill these research lacunae by addressing the role of grade retention in adolescent students' school misconduct. Furthermore, we explore the role of the…
Descriptors: Adolescent Attitudes, Grade Repetition, Student Behavior, Behavior Problems
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