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Rein, Benjamin A.; McNeil, Daniel W.; Hayes, Allison R.; Hawkins, T. Anne; Ng, H. Mei; Yura, Catherine A. – Journal of American College Health, 2018
Objective: Training programs exist that prepare college students, faculty, and staff to identify and support students potentially at risk for suicide. Kognito is an online program that trains users through simulated interactions with virtual humans. This study evaluated Kognito's effectiveness in preparing users to intervene with at-risk students.…
Descriptors: College Students, Program Evaluation, Suicide, Prevention
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Guarcello, Maureen A.; Levine, Richard A.; Beemer, Joshua; Frazee, James P.; Laumakis, Mark A.; Schellenberg, Stephen A. – Technology, Knowledge and Learning, 2017
Supplemental Instruction (SI) is a voluntary, non-remedial, peer-facilitated, course-specific intervention that has been widely demonstrated to increase student success, yet concerns persist regarding the biasing effects of disproportionate participation by already higher-performing students. With a focus on maintaining access for all students, a…
Descriptors: Peer Teaching, Supplementary Education, College Students, Student Participation
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Shaw, Stuart; Warren, Jayne; Gill, Tim – College and University, 2014
This article focuses on the research being conducted by Cambridge International Examinations (Cambridge) to ensure that its international assessments prepare students as well as other acceleration programs for continued study in U.S. colleges and universities. The study, which builds on previous freshman GPA data modeling work using data supplied…
Descriptors: Foreign Countries, Acceleration (Education), Program Evaluation, College Students
Patterson, Brian F. – College Board, 2012
The main goal of this study was to illustrate and provide some direction for dealing with the complexities of propensity score matching within different multilevel contexts. Special attention is given to how procedures typically applied in a non-hierarchical setting may be modified to properly reduce the expected bias in the estimated treatment…
Descriptors: Probability, Scores, Statistical Bias, High School Students
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Beck, Hall P.; Davidson, William B. – Journal of The First-Year Experience & Students in Transition, 2015
This investigation sought to determine when colleges should conduct assessments to identify first-year students at risk of dropping out. Thirty-five variables were used to predict the persistence of 2,024 first-year students from four universities in the southeastern United States. The predictors were subdivided into groups according to when they…
Descriptors: College Students, College Freshmen, Higher Education, School Holding Power
Perkhounkova, Yelena; Noble, Julie; Sawyer, Richard – American College Testing (ACT), Inc., 2005
Debates about developmental instruction have prompted postsecondary institutions to justify their developmental courses. This study investigated a method of documenting the benefits of developmental courses that involves using placement test scores to predict college outcomes separately for students who take a developmental course before taking…
Descriptors: Teaching Methods, Probability, Scores, Developmental Programs