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Weirick, Chad William – ProQuest LLC, 2019
Students who attend two-year institutions are not always academically prepared for the level of work that is required to be successful. Two-year institutions determine students' readiness for college-level mathematics courses using one of three placement methods. However, few empirical studies have investigated which placement methods are most…
Descriptors: Student Placement, College Mathematics, Two Year College Students, Two Year Colleges
Rickard, Brian; Mills, Melissa – International Journal of Mathematical Education in Science and Technology, 2018
Tutoring centres are common in universities in the United States, but there are few published studies that statistically examine the effects of tutoring on student success. This study utilizes multiple regression analysis to model the effect of tutoring attendance on final course grades in Calculus I. Our model predicted that every three visits to…
Descriptors: Mathematics Instruction, College Mathematics, Calculus, Tutoring
Salehi, Shima; Burkholder, Eric; Lepage, G. Peter; Pollock, Steven; Wieman, Carl – Physical Review Physics Education Research, 2019
We have studied the impact of incoming preparation and demographic variables on student performance on the final exam in the standard introductory calculus-based mechanics course at three different institutions. Multivariable regression analysis was used to examine the extent to which exam scores can be predicted by a variety of variables that are…
Descriptors: Physics, Science Instruction, Introductory Courses, Calculus
Wakefield, Nathan; Champion, Joe; Bolkema, Jessalyn; Dailey, Douglas – International Journal of Research in Undergraduate Mathematics Education, 2018
The purpose of this study was to investigate implementation of an early intervention mastery activity during the first two weeks of college algebra and precalculus courses at a large U.S. public university. Statistical modeling of (N = 935) students' performance in the courses, including a logistic regression model of pass/fail course achievement…
Descriptors: Algebra, Calculus, Mastery Learning, Mathematics Instruction
Hieb, Jeffrey L.; Lyle, Keith B.; Ralston, Patricia A. S.; Chariker, Julia – International Journal of Mathematical Education in Science and Technology, 2015
At the University of Louisville, a large, urban institution in the south-east United States, undergraduate engineering students take their mathematics courses from the school of engineering. In the fall of their freshman year, engineering students take "Engineering Analysis I," a calculus-based engineering analysis course. After the…
Descriptors: Calculus, College Mathematics, Engineering Education, Undergraduate Students
Heiny, Robert L.; Heiny, Erik L.; Raymond, Karen – Journal of College Student Retention: Research, Theory & Practice, 2017
Two approaches, Linear Discriminant Analysis, and Logistic Regression are used and compared to predict success or failure for first-time freshmen in the first calculus course at a medium-sized public, 4-year institution prior to Fall registration. The predictor variables are high school GPA, the number, and GPA's of college prep mathematics…
Descriptors: College Freshmen, College Mathematics, Calculus, Student Placement
Wade, Carol H.; Sonnert, Gerhard; Sadler, Philip M.; Hazari, Zahra – American Secondary Education, 2017
Using data from the first National study on high school preparation for college calculus success, the Factors Influencing College Success in Mathematics (FICSMath) project, this article connects student high school instructional experiences to college calculus performance. The findings reported here reveal that students were better prepared for…
Descriptors: Transitional Programs, Secondary School Mathematics, College Mathematics, Calculus
Barnett, M.D.; Sonnert, G.; Sadler, P.M. – International Journal of Mathematical Education in Science and Technology, 2014
Relativizing the popular belief that student effort is the key to success, this article finds that effort in the most advanced mathematics course in US high schools is not consistently associated with college calculus performance. We distinguish two types of student effort: productive and ineffective efforts. Whereas the former carries the…
Descriptors: Calculus, Mathematics Achievement, Correlation, Advanced Courses
Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
Mayo, Sandra Sims – ProQuest LLC, 2012
Improving college performance and retention is a daunting task for colleges and universities. Many institutions are taking action to increase retention rates by exploring their academic programs. Regression analysis was used to compare the effectiveness of ACT mathematics scores, high school grade point averages (HSGPA), and demographic factors…
Descriptors: Regression (Statistics), Scores, Standardized Tests, Mathematics Achievement
Rueda, Norma G.; Sokolowski, Carole – Mathematics Educator, 2004
A study was conducted at Merrimack College in Massachusetts to compare the grades of students who took the recommended course as determined by their mathematics placement exam score and those who did not follow this recommendation. The goal was to decide whether the mathematics placement exam used at Merrimack College was effective in placing…
Descriptors: Student Placement, Mathematics Achievement, Statistical Analysis, Mathematics Instruction

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