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Kimberly Rogers Davis; Akeya Simeon; Emily Anne Pride Sutton – New Directions for Student Services, 2024
As institutions implement more comprehensive hazing prevention efforts, assessment is a necessary strategy for ensuring that programs and services for students are achieving their intended outcomes, especially as hazing behaviors change and evolve. Using a multi-stage student learning and development outcomes cycle, this article outlines steps to…
Descriptors: Hazing, Prevention, Intervention, Program Evaluation
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Casey, Erin A.; Vanslyke, Jan; Beadnell, Blair; Tatiana Masters, N.; McFarland, Kirstin – American Journal of Evaluation, 2023
Principles focused evaluation (PFE) can complement existing formative and outcome evaluation plans by identifying Effectiveness Principles (EPs), an operationalization of values and standards that guide practitioners during program implementation. To date, however, few examples of PFE are available in the literature. This description of the…
Descriptors: Rape, Prevention, Sexual Abuse, Evaluation Methods
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Matthew Landers – Higher Education for the Future, 2025
This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…
Descriptors: Ethics, Cheating, Plagiarism, Artificial Intelligence
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Caspari-Sadeghi, Sima – Cogent Education, 2023
Data-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various online platforms, digital tools, and communication…
Descriptors: Learning Analytics, Data Analysis, Higher Education, Feedback (Response)
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Debby R. E. Cotton; Peter A. Cotton; J. Reuben Shipway – Innovations in Education and Teaching International, 2024
The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of…
Descriptors: Integrity, Cheating, Artificial Intelligence, Man Machine Systems
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Hewawitharana, Sridharshi C.; Kao, Janice; Rider, Carolyn D.; Talmage, Evan; Costello, Sadie; Webb, Karen; Gosliner, Wendi; Woodward-Lopez, Gail – American Journal of Evaluation, 2022
Schools are a critical setting for improving child nutrition and food security and preventing obesity in the United States. The U.S. Department of Agriculture mandates that the Supplemental Nutrition Assistance Program--Education, known as CalFresh Healthy Living (CFHL) in California, implements obesity prevention efforts that utilize…
Descriptors: Nutrition, Obesity, Prevention, Health Promotion
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Bonifay, Wes; Depaoli, Sarah – Prevention Science, 2023
Statistical analysis of categorical data often relies on multiway contingency tables; yet, as the number of categories and/or variables increases, the number of table cells with few (or zero) observations also increases. Unfortunately, sparse contingency tables invalidate the use of standard goodness-of-fit statistics. Limited-information fit…
Descriptors: Bayesian Statistics, Programming Languages, Psychopathology, Classification
Zhang, Lixin – ProQuest LLC, 2022
Social network analysis (SNA) is increasingly viewed as a contributing methodology to program evaluation to examine the complexities of social programs and interrelationships within the program networks. Despite the growing literature on the topic, more knowledge is needed to understand how, when, and under what conditions social network analysis…
Descriptors: Social Networks, Network Analysis, Program Evaluation, Health Education
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Lebohang Victoria Mulaudzi; Joleen Hamilton – Journal of Academic Ethics, 2025
This qualitative study explores lecturers' perspectives on the role of artificial intelligence (AI) in personalised learning within higher education. The rapid proliferation of AI has introduced numerous ethical challenges, including the potential for academic dishonesty and misuse. One concern highlighted in this study is maintaining academic…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Technology Uses in Education
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Mirick, Rebecca G. – Journal of Teaching in Social Work, 2023
Suicide is a major public health issue in the United States and schools of social work have an important role to play in educating future social workers in suicide prevention. This article describes the results of a survey of BSW and MSW practice instructors (N = 259) exploring the strategies used to teach suicide content, including resources used…
Descriptors: Teaching Methods, Suicide, Social Work, Professional Education
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Valizadeh, Mohammadreza – Turkish Online Journal of Distance Education, 2022
This study aimed at highlighting the Turkish higher education learners' perceptions of cheating on online learning programs, the ways of, causes for, and some suggestions to minimize cheating. Both quantitative and qualitative data were gathered from 163 online learners via a questionnaire including both open-ended and close-ended questions. Data…
Descriptors: Foreign Countries, Online Courses, Cheating, Student Attitudes
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Zhaoyang Han; Tzu-Hsuan Liu; Zhihao Ma; Yiwei Xia – Journal of Adolescence, 2025
Introduction: Bullying victimization profoundly impacts the psychological and physical well-being of adolescents. There is limited research on the specific role of physical fitness in bullying victimization, and existing studies often overlook sex differences in these dynamics. This study investigates the relationship between sprint performance…
Descriptors: Physical Fitness, Bullying, Victims, Rating Scales
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Chen, Huey T.; Morosanu, Liliana; Bellury, Lanell M.; Teleaga, Jessica; Hardin, Abigail E. – American Journal of Evaluation, 2021
Intervention programs are open systems that must withstand the disturbances of the environments in which they are implemented if they are to thrive. Stakeholders can benefit from proactive insights related to potential program malfunction or failure. Evaluators have not developed approaches to serve this preventive function. This study proposes…
Descriptors: Evaluation Methods, Program Evaluation, Intervention, Prevention
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Roberts, Angela; Aveni, Katharine; Basque, Shalane; Orange, Joseph B.; McLaughlin, Paula; Ramirez, Joel; Troyer, Angela K.; Gutierrez, Stephanie; Chen, Angie; Bartha, Robert; Binns, Malcolm A.; Black, Sandra E.; Casaubon, Leanne K.; Dowlatshahi, Dar; Hassan, Ayman; Kwan, Donna; Levine, Brian; Mandzia, Jennifer; Sahlas, Demetrios J.; Scott, Christopher J. M.; Strother, Stephen; Sunderland, Kelly M.; Symons, Sean; Swartz, Richard – Topics in Language Disorders, 2021
Purpose: Dementia due to cerebrovascular disease (CVD) is common. Detecting early cognitive decline in CVD is critical because addressing risk factors may slow or prevent dementia. This study used a multidomain discourse analysis approach to determine the spoken language signature of CVD-related cognitive impairment. Method: Spoken language and…
Descriptors: Prediction, Discourse Analysis, Language Impairments, Dementia
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Sánchez-Fernández, Magdalena; Borda-Mas, Mercedes – Education and Information Technologies, 2023
University students are a high-risk population with problematic online behaviours that include generalized problematic Internet/smartphone use and specific problematic Internet uses (for example, social media or gaming). The study of their predictive factors is needed in order to develop preventative strategies. This systematic review aims to…
Descriptors: College Students, Student Behavior, Telecommunications, Handheld Devices
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