Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 10 |
Since 2006 (last 20 years) | 19 |
Descriptor
Source
Author
Publication Type
Journal Articles | 13 |
Reports - Research | 11 |
Reports - Descriptive | 4 |
Collected Works - Proceedings | 3 |
Information Analyses | 3 |
Numerical/Quantitative Data | 1 |
Speeches/Meeting Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Audience
Location
Brazil | 2 |
China | 2 |
Colorado | 1 |
Florida | 1 |
Georgia | 1 |
Indiana | 1 |
Malaysia | 1 |
New York | 1 |
North Carolina | 1 |
Oklahoma | 1 |
South Africa | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Harun Cigdem; Semiral Oncu – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite efforts to implement innovative approaches such as flipped learning leveraging computer technology, the challenge of student failure persists. Understanding the factors that contribute to student success in flipped engineering courses remains a critical issue. This study addresses this issue by investigating the impact of student…
Descriptors: Gamification, Flipped Classroom, Learner Engagement, Learning Readiness
Xu, Tonghui – Journal of Educators Online, 2023
The early detection of students' academic performance or final grades helps instructors prepare their online courses. In the Open University Learning Analytics Dataset, I found many online students clicked the course materials before the first day of class. This study aims to investigate how data mining models can use this student interaction data…
Descriptors: College Students, Online Courses, Academic Achievement, Data Analysis
Tisha L. N. Emerson; KimMarie McGoldrick – Journal of Economic Education, 2024
Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…
Descriptors: Microeconomics, Student Attrition, Withdrawal (Education), Academic Persistence
Mangaroska, Katerina; Sharma, Kshitij; Giannakos, Michail; Træteberga, Hallvard; Dillenbourg, Pierre – Journal of Learning Analytics, 2018
This study investigates how multimodal user-generated data can be used to reinforce learner reflection, improve teaching practices, and close the learning analytics loop. In particular, the aim of the study is to utilize user gaze and action-based data to examine the role of a mirroring tool (i.e., Exercise View in Eclipse) in orchestrating basic…
Descriptors: Eye Movements, Student Behavior, Computer Science Education, Programming
Sandlin, Michele – College and University, 2019
This feature focuses on the five areas an institution needs to know before implementing holistic measures. These include: what does a holistic review entail, how to be legally complaint, Sedlacek's noncognitive variables, applying student success measures, and the vital importance of training.
Descriptors: Predictor Variables, Success, Holistic Approach, Compliance (Legal)
Parnell, Amelia; Jones, Darlena; Wesaw, Alexis; Brooks, D. Christopher – EDUCAUSE, 2018
As higher education institutions in the United States strive to maximize their use of resources to better support students, it is critical for professionals to make data-informed decisions. Most institutions are currently gathering an abundance of data from multiple sources, which provides a good opportunity for functional units, divisions, and…
Descriptors: College Students, Colleges, Data Analysis, Data Collection
Zevallos, Ana L.; Washburn, Mara – About Campus, 2014
Over the past decades, Vincent Tinto, Edmund Thile, Francis Ianni, and others all link mentoring to better academic performance, improved social adjustment, enhanced academic experiences, and greater rates of degree completion. Even more specifically, Jean E. Rhodes, Renée Spencer, Thomas E. Keller, Belle Liang, and Gil Noam describe three…
Descriptors: Mentors, Peer Counseling, College Students, Program Descriptions
Haber, Mason G.; Mazzotti, Valerie L.; Mustian, April L.; Rowe, Dawn A.; Bartholomew, Audrey L.; Test, David W.; Fowler, Catherine H. – Review of Educational Research, 2016
Students with disabilities experience poorer post-school outcomes compared with their peers without disabilities. Existing experimental literature on "what works" for improving these outcomes is rare; however, a rapidly growing body of research investigates correlational relationships between experiences in school and post-school…
Descriptors: Meta Analysis, Predictor Variables, Success, Postsecondary Education
Prinsloo, Paul; Archer, Elizabeth; Barnes, Glen; Chetty, Yuraisha; van Zyl, Dion – International Review of Research in Open and Distributed Learning, 2015
In the context of the hype, promise and perils of Big Data and the currently dominant paradigm of data-driven decision-making, it is important to critically engage with the potential of Big Data for higher education. We do not question the potential of Big Data, but we do raise a number of issues, and present a number of theses to be seriously…
Descriptors: Foreign Countries, Distance Education, Open Universities, Online Courses
Derrico, Cindy M.; Tharp, Jennifer L.; Schreiner, Laurie A. – Christian Higher Education, 2015
Research on the contribution of psychosocial factors to holistic student success in the context of the distinctive mission of Christian colleges and universities remains limited despite increased attention given to such factors in broader studies of student success. In recent years, the study of thriving has added to the measurement of…
Descriptors: Church Related Colleges, Christianity, College Students, Student Experience
Razali, Rozilawati; Zainal, Dzulaiha Aryanee Putri – International Education Studies, 2013
The Case Method (CM) has long been used effectively in Social Science education. Its potential use in Applied Science such as Software Engineering (SE) however has yet to be further explored. SE is an engineering discipline that concerns the principles, methods and tools used throughout the software development lifecycle. In CM, subjects are…
Descriptors: Foreign Countries, Case Method (Teaching Technique), Engineering Education, Computer Software
Kuh, George D. – Trusteeship, 2011
Are students learning what they need to know to thrive in the 21st century? Boards can answer that question positively by ensuring that students are engaged in the kind of activities that encourage critical thinking, problem solving, and other important skills. In this article, the author discusses why student engagement matters and describes the…
Descriptors: Learner Engagement, Critical Thinking, Governing Boards, Classroom Techniques
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
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
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Previous Page | Next Page »
Pages: 1 | 2