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Mandalapu, Varun; Chen, Lujie Karen; Chen, Zhiyuan; Gong, Jiaqi – International Educational Data Mining Society, 2021
With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment and improving teaching practice. Most of these research efforts focused on course-level variables to predict student…
Descriptors: Integrated Learning Systems, Interaction, Undergraduate Students, Minority Group Students
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Barros, Thiago M.; Souza Neto, Plácido A.; Silva, Ivanovitch; Guedes, Luiz Affonso – Education Sciences, 2019
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…
Descriptors: Predictor Variables, Models, Dropout Rate, Classification
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Natale, Vickie C.; Jones, Stephanie J. – Community College Journal of Research and Practice, 2018
The study examined how institutional and student characteristics may influence the earning of student success points by state-supported community colleges under the Texas performance funding system that was fully implemented in the 2016-2017 biennium. Texas has historically funded community colleges based on an enrollment formula; however, the…
Descriptors: Institutional Characteristics, Student Characteristics, Community Colleges, Two Year College Students
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Gitinabard, Niki; Xu, Yiqiao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin F. – IEEE Transactions on Learning Technologies, 2019
Blended courses that mix in-person instruction with online platforms are increasingly common in secondary education. These platforms record a rich amount of data on students' study habits and social interactions. Prior research has shown that these metrics are correlated with students performance in face-to-face classes. However, predictive models…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Prediction
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Nilsen, Trude; Gustafsson, Jan-Eric – Educational Research and Evaluation, 2014
We study whether changes in school emphasis on academic success (SEAS) and safe schools (SAFE) may explain the increased science performance in Norway between TIMSS 2007 and 2011. Two-level structural equation modelling (SEM) of merged TIMSS data was used to investigate whether changes in levels of SEAS and SAFE mediate the changes in science…
Descriptors: Academic Achievement, Success, Science Achievement, Performance Based Assessment
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Jin, Jang C. – International Journal of Higher Education, 2019
This paper examines empirically the determinants of student evaluation of teaching (SET). Empirical models were specified and estimated using the SET data collected in Hong Kong over six academic years. A key finding is that three different origins of students had a differentiated impact on teaching evaluation. In particular, students from…
Descriptors: Foreign Countries, Student Evaluation of Teacher Performance, Student Attitudes, Teacher Effectiveness
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Murray, Thomas A.; Schultz, Stacie M.; Cabrera, Nolan L. – Journal of The First-Year Experience & Students in Transition, 2016
While there is little empirical research regarding how the college choice process unfolds for students with disabilities, Webb (2000) developed a five-stage transition model for this population. In this study, we sought to identify the overlap as well as the specific points of departure that Webb's model has with traditional college choice models.…
Descriptors: College Choice, Disabilities, Accessibility (for Disabled), Transitional Programs
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Williams-Klotz, Denise N.; Gansemer-Topf, Ann M. – Journal of College Student Development, 2017
We examined how the experiences--academic, financial, social, and personal--and relationship factors of military-connected students attending a 4-year institution are associated with their academic success. This multi-institution study highlights the demographic characteristics, experiences, and campus relationships that are associated with…
Descriptors: Military Service, Grade Point Average, Academic Achievement, Student Characteristics
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Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
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Isaias, Pedro; Reis, Francisco; Coutinho, Clara; Lencastre, Jose Alberto – Interactive Technology and Smart Education, 2017
Purpose: This paper examines the acceptance, of a group of 79 students, of an educational forum, used for mobile and distance learning, that has been modified to include empathic characteristics and affective principles. Design/Methodology/Approach: With this study is proposed that the introduction of empathic and affective principles in…
Descriptors: Telecommunications, Handheld Devices, Distance Education, Educational Technology
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Bowyer, Kyle – Journal of Higher Education Policy and Management, 2012
Student workload is a contributing factor to students deciding to withdraw from their study before completion of the course, at significant cost to students, institutions and society. The aim of this paper is to create a basic workload model for a group of undergraduate students studying business law units at Curtin University in Western…
Descriptors: Foreign Countries, Education Work Relationship, Undergraduate Students, Business Education
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Brouwer, Jasperina; Jansen, Ellen; Hofman, Adriaan; Flache, Andreas – Research in Post-Compulsory Education, 2016
Two theoretical approaches underlie this investigation of the determinants of early study success among first-year university students. Specifically, to extend Walberg's educational productivity model, this study draws on the expectancy-value theory of achievement motivation in a contemporary university context. The survey data came from 407…
Descriptors: College Freshmen, Progress Monitoring, Success, Achievement Need
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Benedetti, Christopher – Journal of College Teaching & Learning, 2015
This article examines the characteristics and challenges of online instruction and presents a model for improving learner adaptation in an online classroom. Instruction in an online classroom presents many challenges, including learner individualization. Individual differences in learning styles and preferences are often not considered in the…
Descriptors: Models, Online Courses, Electronic Learning, Student Adjustment
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Ocean, Mia; Hawkins, Damian; Chopra, Kobitta – Community College Journal of Research and Practice, 2014
Community college students face a number of life and academic challenges. It is unknown what counseling models are currently employed by community colleges to meet their students' many needs. Representatives of Florida's 28 community colleges completed a survey detailing their counseling model, student populations, rationale behind the model…
Descriptors: Racial Differences, Community Colleges, Models, Counseling Services
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Mainardes, Emerson; Alves, Helena; Raposo, Mario – Tertiary Education and Management, 2013
In accordance with the importance of the student stakeholder to universities, the objective of this research project was to evaluate student satisfaction at Portuguese public universities as regards their self-expressed core expectations. The research was based both on stakeholder theory itself and on previous studies of university stakeholders.…
Descriptors: Foreign Countries, College Students, Stakeholders, Expectation
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