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2018-Vajravelu-Teaching Large DE Classes

Author(s): Kuppalapalle Vajravelu

University of Central Florida

Keywords: differential equations Large class large classroom

168 total view(s), 56 download(s)

Abstract

Resource Image Practical problem solving in science and engineering programs require proficiency in mathematics. Improving student performance and retention in mathematics classes requires inventive approaches.

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Article Context

Resource Type
Differential Equation Type
Technique
Qualitative Analysis
Application Area
Course
Course Level
Lesson Length
Technology
Approach
Skills

Description

Ordinary Differential Equations I, is one of the core courses for science and engineering majors. Practical problem solving in science and engineering programs require proficiency in mathematics. Improving student performance and retention in mathematics classes requires inventive approaches. At the University of Central Florida (UCF) the Department of Mathematics developed an innovative teaching method that incorporated computers, Canvas (Webcourses@UCF), WileyPlus software, and application sessions in large Ordinary Differential Equations I classes. Introduction of new technology, in-class problem solving and application (or discussion) sessions are important factors in the enhancement of students’ deep understanding of mathematics. We will detail various components of the course (online homework sets, application sessions and projects, in-class tests, and comprehensive final exam) and discuss how we obtained optimal results enhancing the traditional teaching techniques. Also, how to obtain optimal results without sacrificing the traditional teaching techniques will be brought out. We hope that the details of our experiences and the lessons we learned along the way will be helpful to others who are struggling with the same issues. Also, we provide solutions for quality education and the student-growth. Furthermore, this technique can be used to teach large classes in Science, Technology, Engineering and Mathematics (STEM).

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Authors

Author(s): Kuppalapalle Vajravelu

University of Central Florida

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