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Direct linkRebecca G. Mathien; Beth Cochran; Aimee K. Johnson; A. Laura Dengo – Journal of American College Health, 2024
Objective: To understand the wellness needs of university employees to design more effective and inclusive worksite wellness programs (WWP) for health promotion. Methods: Cross-sectional assessment of university employees' wellness needs (online survey, n = 639). Results: Employees were most interested in physical activity (PA), nutrition, and…
Descriptors: Wellness, Employees, School Personnel, Health Promotion
Download full textKelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Kern, Ben D.; Graber, Kim C. – Measurement in Physical Education and Exercise Science, 2017
Program satisfaction, self-efficacy to change, and willingness to change, are dispositions that influence physical education teacher change. The study purpose was to validate an instrument measuring program satisfaction, self-efficacy to change, and willingness to change relative to teachers' likelihood to change. A 15-item Teacher Change…
Descriptors: Physical Education Teachers, Test Validity, Questionnaires, Self Efficacy
Cowart, Brian L. – ProQuest LLC, 2013
For healthcare agencies and other professionals to most efficiently provide aid following large scale community tragedies, agencies and professionals must understand the determinants that lead individuals to require and seek various forms of help. This study examined Andersen's Behavioral Model of Healthcare Use and its utility in predicting…
Descriptors: Help Seeking, College Students, Violence, Tragedy
Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
Smith, Maurice W. J. – ProQuest LLC, 2010
Fifty-two years after "Brown v. Board of Education" and 42 years after the Civil Rights Act of 1964, there remains a declining presence of Black teachers and administrators in the United States. As powerful role models for all students, especially Black students, Black educators are crucial to the increasing minority student population…
Descriptors: Principals, Role Models, Rating Scales, Probability
