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Sarah Besse; Andréa Kaniuka; Sasha Zabelski; Annelise Mennicke; Kaley Meyer; Robert J. Cramer – Journal of American College Health, 2024
The rate of college student mental health difficulties has been climbing, leading to overburdened college counseling centers. We propose the Holistic Prevention & Intervention Model (HPIM) as one solution in which campus and community resources work collaboratively to support students experiencing psychological distress and alleviate clinical…
Descriptors: College Students, Mental Health, Suicide, Prevention
Cath Ellis; Kane Murdoch – Assessment & Evaluation in Higher Education, 2024
Current approaches used by educational institutions to address the problem of student cheating are not working. This is because the discourse of academic integrity that currently dominates is, on its own, inadequate for addressing the problem. We propose that in order for higher education institutions to challenge cheating effectively, they need…
Descriptors: Cheating, Student Behavior, Barriers, College Students
Fendler, Richard J.; Yates, Michael C.; Godbey, Jonathan M. – Journal of Instructional Pedagogies, 2023
This research utilizes a unique, validated, multiple-choice exam design that allows researchers to observe and measure the degree to which students copy answers from their peers. Using data collected from the exam, this study investigates whether asking students to sign an honor code at the start of the exam reduced instances of cheating relative…
Descriptors: Cheating, Prevention, Multiple Choice Tests, Ethics
Harsimran Singh; Banipreet Kaur; Arun Sharma; Ajeet Singh – Education and Information Technologies, 2024
Today, the main aim of educational institutes is to provide a high level of education to students, as career selection is one of the most important and quite difficult decisions for learners, so it is essential to examine students' capabilities and interests. Higher education institutions frequently face higher dropout rates, low academic…
Descriptors: College Students, At Risk Students, Academic Achievement, Artificial Intelligence
Weishaar, Megan G.; Kentopp, Shane D.; Wallace, Gemma T.; Conner, Bradley T. – Journal of American College Health, 2023
Objective: Extreme sport participation and injury rates have increased in recent decades. This study aimed to investigate sub-dimensions of impulsivity and sensation seeking that contribute to participation and injury risk in extreme sports. Participants: Data included cross-sectional survey responses from 7,109 college students (Mage=19.68, SD =…
Descriptors: Injuries, Athletics, Predictor Variables, Young Adults
Prediction of Students' Early Dropout Based on Their Interaction Logs in Online Learning Environment
Mubarak, Ahmed A.; Cao, Han; Zhang, Weizhen – Interactive Learning Environments, 2022
Online learning has become more popular in higher education since it adds convenience and flexibility to students' schedule. But, it has faced difficulties in the retention of the continuity of students and ensure continual growth in course. Dropout is a concerning factor in online course continuity. Therefore, it has sparked great interest among…
Descriptors: Prediction, Dropouts, Interaction, Learning Analytics
Hu, Yung-Hsiang – International Review of Research in Open and Distributed Learning, 2022
Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have…
Descriptors: Dropout Prevention, At Risk Students, Online Courses, Private Colleges
Patterson, M. S.; Prochnow, T.; Nelon, J. L.; Spadine, M. N.; Brown, S. E.; Lanning, B. A. – Journal of American College Health, 2022
Objective: To use egocentric network analysis to understand how composition and structure of egonetworks relate to violence victimization among college students. Participants: 697 students from a large southeastern university completed online surveys. Methods: Hierarchical logistic regression analyses assessed the relationship between egocentric…
Descriptors: Violence, Victims, College Students, Student Attitudes
Ellis, Cath; Zucker, Ian Michael; Randall, David – International Journal for Educational Integrity, 2018
While there is growing awareness of the existence and activities of Academic Custom Writing websites, which form a small part of the contract cheating industry, how they work remains poorly understood. Very little research has been done on these sites, probably because it has been assumed that it is impossible to see behind their firewalls and…
Descriptors: Cheating, Contracts, Web Sites, Academic Discourse
Herman, Benjamin C.; Clough, Michael P.; Rao, Asha – Science & Education, 2022
Like all SSI, the COVID-19 pandemic requires decisions that are contentious, involve scientific thinking, and vary across social groups. This investigation determined how perceptions about COVID-19 science and sociocultural membership associate with 557 university biology students': (1) COVID-19 behaviors after stay-at-home orders and (2) support…
Descriptors: Science and Society, Science Education, COVID-19, Pandemics
Beres, Melanie A.; Treharne, Gareth J.; Stojanov, Zoran – Journal of Higher Education Policy and Management, 2019
Universities across the world have been increasingly focused on responding to campus sexual violence. Developing a response is complex and involves addressing policy, support for those impacted by sexual violence and prevention. This manuscript outlines the structure and development of the University of Otago's whole campus approach to sexual…
Descriptors: Foreign Countries, Sexual Abuse, College Students, Models
Rubin, Beth – Journal on Excellence in College Teaching, 2018
Academic integrity is a critical issue in online courses, where students are removed from their instructors in time and space. This article presents a model describing the steps that academic leaders and administrators should follow to implement systems that support academic integrity in online courses. Rather than identifying vendors, which…
Descriptors: College Students, Integrity, Cheating, Online Courses
Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
Parcover, Jason; Mays, Sally; McCarthy, Amy – Journal of College Student Psychotherapy, 2015
The mental health needs of college students are placing increasing demands on counseling center resources, and traditional outreach efforts may be outdated or incomplete. The public health model provides an approach for reaching more students, decreasing stigma, and addressing mental health concerns before they reach crisis levels. Implementing a…
Descriptors: Public Health, Health Needs, Counseling Services, Mental Health
Hang, Bui Thi Thuy; Kaur, Amrita; Nur, Abdul Hamid Busthami – Malaysian Journal of Learning and Instruction, 2017
Purpose: Student motivation for positive academic outcome and persistence at school is significantly affected by personal and environmental factors. Anchored in self-determination theory, this study tested a motivational model which looked at how support in terms of perceived teacher autonomy and from school administration constituted the key…
Descriptors: Foreign Countries, Self Determination, Motivation Techniques, Models