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Sierra Castedo de Martell; Lori Holleran Steiker; Andrew Springer; Jeffery Jones; Emily Eisenhart; H. Shelton Brown III – Journal of American College Health, 2024
Objective: To conduct a preliminary cost-effectiveness analysis of collegiate recovery programs in the United States and to create a tailorable cost-effectiveness calculator based on the preliminary cost-effectiveness model. Methods: Cost-effectiveness was assessed with a base case, one-way sensitivity analyses, and probabilistic sensitivity…
Descriptors: Cost Effectiveness, College Students, Substance Abuse, Drug Rehabilitation
Sarah J. Hatteberg; Christy Kollath-Cattano – Journal of American College Health, 2024
Objective: Amidst the COVID-19 pandemic, colleges worked to minimize transmission through non-pharmaceutical interventions (NPIs). The objective of this study was to apply the Health Belief Model to assess correlates of US college students' early stage NPI uptake. Participants: Sample includes 1,223 students from a medium-sized university who…
Descriptors: College Students, Health Behavior, COVID-19, Pandemics
Gilfillan, Audrey; Ehrnstrom, Colleen – About Campus, 2023
College students in the 21st century face unprecedented levels of stress, which has led to a global and deleterious impact on their mental health. The mental health of college students is widely considered to be a public health crisis according to the World Health Organization (WHO), and universities are challenged to provide adequate resources…
Descriptors: College Students, Mental Health, Coaching (Performance), Academic Achievement
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
Luvia R. Nastiti; Widha Sunarno; Sukarmin Sukarmin; Sulistyo Saputro; Luqman Baehaqi – Journal of Baltic Science Education, 2024
The intricacy of real-world challenges in project-based geoscience learning is complex to assess with a STEM approach; hence, research into an effective model is necessary to address current issues in education. Understanding the role of STEM in resolving challenging real-world issues requires integrating STEM literacy that is appropriate for…
Descriptors: STEM Education, Multiple Literacies, Active Learning, Student Projects
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
Chuan Cai; Adam Fleischhacker – Journal of Educational Data Mining, 2024
We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…
Descriptors: College Students, Student Attrition, Dropouts, Potential Dropouts
Ernesto Panadero; Javier Fernández; Leire Pinedo; Iván Sánchez; Daniel García-Pérez – Assessment in Education: Principles, Policy & Practice, 2024
While self-assessment is a widely explored area in educational research, our understanding of how students assess themselves, or in other words, generate self-feedback, is quite limited. Self-assessment process has been a black box that recent research is trying to open. This study explored and integrated two data collections (secondary and higher…
Descriptors: Feedback (Response), Secondary School Students, College Students, Self Evaluation (Individuals)
Du, Xiaoming; Ge, Shilun; Wang, Nianxin – International Journal of Information and Communication Technology Education, 2022
In the context of education big data, it uses data mining and learning analysis technology to accurately predict and effectively intervene in learning. It is helpful to realize individualized teaching and individualized teaching. This research analyzes student life behavior data and learning behavior data. A model of student behavior…
Descriptors: Prediction, Data, Student Behavior, Academic Achievement
Scharff, Lauren F. V.; Samuels, Michelle A. Butler – Teaching & Learning Inquiry, 2023
Academic institutions are now expected to engage in developing and assessing learning outcomes; however, responsibility outcomes, such as respect for human dignity (RFHD), can be particularly challenging. As part of our Biopsychology course and Sensation and Perception course over the past decade, we applied the scientist-educator model of…
Descriptors: Human Dignity, College Students, Intervention, Models
Xingle Ji; Lu Sun; Xueyong Xu; Xiaobing Lei – International Journal of Information and Communication Technology Education, 2024
This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…
Descriptors: Information Retrieval, Data Analysis, Educational Research, Individualized Instruction
Tanya Kathleen Bailey – ProQuest LLC, 2021
People have long found comfort and support by interacting and sharing their lives with animals, and from this interest has led to a specific modality in human healthcare called Animal-Assisted Interactions (AAI). One application of AAI in higher education has gained much attention in the past 10 years. University campuses are a setting where…
Descriptors: College Students, Mental Health, Animals, Interaction
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
David B. Spight; Deirdre Mooney; Rachael Orr – NACADA Review: Academic Advising Praxis and Perspectives, 2023
Advising programs for undecided/exploratory students risk reinvention of the wheel through lack of familiarity with existing literature. This lack can also leave the scholar and the practitioner unable to identify potential gaps within the research. Applying the methodological approach of qualitative historiography to literature from 1950 to 2022,…
Descriptors: Academic Advising, Historiography, Decision Making, Risk
Lea Dickhäuser; Christine Koddebusch; Christiane Hermann – Journal of College Student Mental Health, 2024
As stress in students has increased in the last years, factors predicting stress need to be investigated. The aim of the present study was to replicate previous findings using the demand-control model and to examine the role of emotional distress in a transactional model (inspired by Lazarus' transactional stress model). "Stress, mental…
Descriptors: Prediction, Stress Variables, Validity, Models