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…

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…

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…

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…

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…

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.…

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…

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…

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…

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…

Since academic competences are essential for admission to good educational institutions and competitive markets, students face increasing pressures to meet academic expectations. This study aims to examine university students' state test anxieties based on various variables. Findings obtained from 503 university students show that state test…