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Lauren Wisnieski; Kimberly Carney; Gary Vroegindewey – International Society for Technology, Education, and Science, 2023
Studies have shown Adverse Childhood Experiences (ACEs) to be associated with reduced academic performance. To the best of our knowledge, there are no studies on ACEs and academic performance in veterinary students. We conducted a survey among veterinary students to collect data on ACEs and demographics. We linked survey data to repository data…
Descriptors: College Students, Veterinary Medical Education, Early Experience, Trauma
Elkins, Erin – International Society for Technology, Education, and Science, 2022
Doctoral students experience mental health concerns, while 12% to 30.9% utilize support services such as counseling and prescription medication. Overall, one out of two students do not graduate. This quantitative correlational study explored the relationship between doctoral students' mental health status and the utilization of mental health…
Descriptors: Doctoral Students, Mental Health, Correlation, Access to Health Care
Mustafa Koc; Mehmet Sinan Bugday – International Society for Technology, Education, and Science, 2023
With the development of technology, people's gaming tools and practices have also changed. While games are an activity that people need to have fun, they are also important for their cognitive and affective development. Today, digital games have largely replaced traditional games and become popular among children and young people. This situation…
Descriptors: Video Games, Addictive Behavior, Public Health, Health Behavior
Elise Kokenge; Laura B. Holyoke – American Association for Adult and Continuing Education, 2023
A comparative longitudinal data analysis between two online non-thesis master's programs--natural resource management and environmental science--in a college of natural resources to determine the relationship between student characteristics and disenrollment risks. Risks varied between the two programs, with significance found to increase the risk…
Descriptors: Electronic Learning, Graduate Students, Longitudinal Studies, Data Analysis
Öksüzoglu, Irem Elçi; Tünkler, Vural – International Society for Technology, Education, and Science, 2022
The aim of this study was to examine prospective social studies teachers' efficacy perceptions of 21st century skills based on gender, grade, academic success and mastery of information-communication technologies. Descriptive survey model was adopted in the study. The sample of the study consisted of a total of 257 prospective social studies…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, 21st Century Skills
Zualkernan, Imran – International Association for Development of the Information Society, 2021
A significant amount of research has gone into predicting student performance and many studies have been conducted to predict why students drop out. A variety of data including digital footprints, socio-economic data, financial data, and psychological aspects have been used to predict student performance at the test, course, or program level.…
Descriptors: Prediction, Engineering Education, Academic Achievement, Dropouts
Deng, Pan; Zhou, Jianjun; Lyu, Jing; Zhao, Zitong – International Educational Data Mining Society, 2021
Attendance rate is an important indicator of students' study motivation, behavior and Psychological status; however, the heterogeneous nature of student attendance rates due to the course registration difference or the online/offline difference in a blended learning environment makes it challenging to compare attendance rates. In this paper, we…
Descriptors: Attendance Patterns, Peer Influence, Online Courses, Blended Learning
Bahçekapili, Ekrem; Karaman, Selçuk – Knowledge Management & E-Learning, 2020
This study tests the direct and indirect effects of online learners' personality traits, self-efficacy, and academic locus of control variables on grade point average (GPA) via path analysis. The participants of the study are 525 online learners from two different universities in Turkey. The results of the study reveal a good fit of the proposed…
Descriptors: Personality Traits, Self Efficacy, Locus of Control, Academic Achievement
Ong, Nathan; Zhu, Jiaye; Mossé, Daniel – International Educational Data Mining Society, 2022
Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…
Descriptors: Prediction, Grades (Scholastic), Learning Analytics, Student Characteristics
Burstein, Jill; McCaffrey, Daniel; Beigman Klebanov, Beata; Ling, Guangming; Holtzman, Steven – Grantee Submission, 2019
Writing is a challenge and a potential obstacle for students in U.S. 4-year postsecondary institutions lacking prerequisite writing skills. This study aims to address the research question: Is there a relationship between specific features (analytics) in coursework writing and broader success predictors? Knowledge about this relationship could…
Descriptors: Undergraduate Students, Writing (Composition), Writing Evaluation, Learning Analytics
Grabarnik, Genady; Kim-Tyan, Luiza; Yaskolko, Serge – International Association for Development of the Information Society, 2021
The goal of the paper is to understand to what degree the student success depends on teaching practices and materials, and to what degree it is due to differences in background, including prior knowledge, skills, preparation, abilities, etc. We analyzed the existing research on outcomes of the SAT and ACT in the United States and the Unified…
Descriptors: Foreign Countries, Mathematics Education, Success, Mathematics Tests
Escaname, Rogelio; Flores, Luis; Flores, Sylvia; Fuentes, Jorge; Martinez, Alan Herrera; Garcia, Iraselia; Mora, Vanessa – International Society for Technology, Education, and Science, 2020
The following research will assist in better understanding if gender, major, and technology use influences success rates among the Latino-ethnic undergraduate students in a Hispanic Serving Institution. The site chosen to be studied was located in a southern region of Texas and in a highly impoverished area. A previously administered instrument…
Descriptors: Hispanic American Students, College Students, Colleges, Undergraduate Students
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
Ertas, Bulent; Ozer, Ipek; Samur, Yavuz – AERA Online Paper Repository, 2018
Teenagers spend an incredible amount of time on smartphones, especially on social media and online games. The purpose of this study is to investigate the gender differences and relationship between smartphone, game, social networking sites (SNS) addiction and students' grade point average (GPA) scores. High school students from grades 9-12 (N=504)…
Descriptors: Adolescents, Telecommunications, Handheld Devices, High School Students
Morsomme, Raphaël; Alferez, Sofia Vazquez – International Educational Data Mining Society, 2019
Liberal Arts programs are often characterized by their open curriculum. Yet, the abundance of courses available and the highly personalized curriculum are often overwhelming for students who must select courses relevant to their academic interests and suitable to their academic background. This paper presents the course recommender system that we…
Descriptors: Liberal Arts, Course Selection (Students), Courses, College Students