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Lisabeth Marie Santana; Alysa Malespina; Sonja Cwik; Chandralekha Singh – Journal of College Science Teaching, 2025
We present data from large introductory algebra-based physics courses at a large public research university in the US in which most students were bioscience majors or other health-related majors. The data was analyzed from two introductory physics courses, which are required for most of these students and they are often considered "weed…
Descriptors: Academic Failure, Repetition, Algebra, Introductory Courses
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Hartman, Jenifer J.; Janssens, Radford; Hensberry, Karina K. R. – Education Leadership Review, 2020
Data-driven decision making is a critical leadership skill. This study describes how leadership at a four-year university used extant data to improve student outcomes. The University identified the high rate of first-time-in-college (FTIC) student withdrawal/failure in initial algebra courses as having a detrimental effect on other student success…
Descriptors: College Freshmen, Student Placement, College Mathematics, Leadership
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Wilson, Dawn; Allen, David – Research in Higher Education Journal, 2011
Are students setting themselves up for failure by taking online courses? Should students be restricted from taking online courses if they have not reached a certain GPA? Should students who fail or withdraw from an online course be required to take to traditional courses for at least one semester? At one Historically Black College or University…
Descriptors: Online Courses, Conventional Instruction, Success, Grade Point Average
Rampell, Catherine – Chronicle of Higher Education, 2008
This article reports that several colleges and universities like Purdue University are mining data they have about students to try to improve retention. The institutions analyze years' worth of data on which students did well and which did poorly, and what variables--whether they be SAT scores, financial-aid status, or attendance at the dining…
Descriptors: Data Analysis, School Holding Power, Computer Mediated Communication, Academic Achievement
Henderson, Susan J.; Orr, Scott P. – 1989
A method was developed for identifying students who may be at high risk for failing the State Board Licensing Examination (SBE) for registered nurses. The subjects used in developing prediction equations included 50 students who graduated from the nursing program at Saint Joseph's College (SJC) in North Windham (Maine) during the years 1983-84.…
Descriptors: Certification, College Students, Equations (Mathematics), Failure