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Boudreaux, Gregory M.; Haugh, Janine; Johnson, Ed; Tinney, Laura; Whitlock, Cathy – PRIMUS, 2022
Several publishing companies now offer competing brands of online homework (OHW) software. Students rarely have a voice in choosing their required course materials, even though, ultimately, they will be asked to use and pay for these systems. In this study, Calculus I students each tested three different OHW systems. The students were then asked…
Descriptors: Mathematics Instruction, Calculus, Homework, Educational Technology
Botts, Ryan T.; Carter, Lori; Crockett, Catherine – PRIMUS, 2018
The efforts to improve the quantitative reasoning (quantitative literacy) skills of college students in the United States have been gaining momentum in recent years. At the same time, the blended learning approach to course delivery has gained in popularity, promising better learning with flexible modalities and pace. This paper presents the…
Descriptors: Blended Learning, Statistical Analysis, Comparative Analysis, Outcomes of Education
Axvig, Nathan; David, John; Falcetti, Alex – PRIMUS, 2015
The Applied and Industrial Mathematics program partners applied mathematics students with businesses, governments, laboratories, and agencies to solve real problems. We will discuss the logistics of the program and give advice on starting and running similar programs. We also give a detailed example of a specific project, namely our work with the…
Descriptors: Mathematics Instruction, Undergraduate Study, College Mathematics, Problem Solving
Sullivan, Eric; Melvin, Timothy – PRIMUS, 2016
Written communication and computer programming are foundational components of an undergraduate degree in the mathematical sciences. All lower-division mathematics courses at our institution are paired with computer-based writing, coding, and problem-solving activities. In multivariable calculus we utilize MATLAB and LATEX to have students explore…
Descriptors: Calculus, College Mathematics, Mathematics Instruction, Technical Writing
Kostadinov, Boyan – PRIMUS, 2013
This article attempts to introduce the reader to computational thinking and solving problems involving randomness. The main technique being employed is the Monte Carlo method, using the freely available software "R for Statistical Computing." The author illustrates the computer simulation approach by focusing on several problems of…
Descriptors: Computation, Monte Carlo Methods, College Mathematics, Problem Solving
Blyth, Russell D.; Rainbolt, Julianne G. – PRIMUS, 2010
A traditional abstract algebra course typically consists of the professor stating and then proving a sequence of theorems. As an alternative to this classical structure, the students could be expected to discover some of the theorems even before they are motivated by classroom examples. This can be done by using a software system to explore a…
Descriptors: Computer Software, Algebra, Computer Uses in Education, Mathematics Instruction
Santos-Trigo, Manuel; Barrera-Mora, Fernando – PRIMUS, 2011
The study documents the extent to which high school teachers reflect on their need to revise and extend their mathematical and practicing knowledge. In this context, teachers worked on a set of tasks as a part of an inquiring community that promoted the use of different computational tools in problem solving approaches. Results indicated that the…
Descriptors: High Schools, Problem Solving, Calculators, Secondary School Teachers
Erickson, Amy H.; Melendez, Barbra S.; Ball, Daniel L.; Morse, Steven T.; Phillips, Geoffrey P. – PRIMUS, 2010
This project is one of four that were issued to first semester sophomore undergraduates at the United States Military Academy as part of an integrated learning experience at the end of their Calculus II course work. This project was used during a short, seven lesson block of instruction that was intended to capitalize on their recent academic…
Descriptors: Majors (Students), Mathematical Models, Learning Experience, Calculus
Scott, Damon – PRIMUS, 2007
For over a decade it has been a common observation that a "fog" passes over the course in linear algebra once abstract vector spaces are presented. See [2, 3]. We show how this fog may be cleared by having the students translate "abstract" vector-space problems to isomorphic "concrete" settings, solve the "concrete" problem either by hand or with…
Descriptors: Algebra, Undergraduate Study, Mathematics Instruction, College Science

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