Virtual Conference
July 26, 2021
July 26, 2021
July 19, 2022
Mechanics
13
10.18260/1-2--37313
https://peer.asee.org/37313
403
Ning Fang is a Professor in the Department of Engineering Education at Utah State University, U.S.A. He has taught a variety of courses at both graduate and undergraduate levels, such as engineering dynamics, metal machining, and design for manufacturing. His areas of interest include computer-assisted instructional technology, curricular reform in engineering education, and the modeling and optimization of manufacturing processes. He earned his Ph.D., M.S., and B.S. degrees in mechanical engineering. He is a Senior Member of the Society for Manufacturing Engineering (SME), a member of the American Society of Mechanical Engineers (ASME), and a member of the American Society for Engineering Education (ASEE).
Mathematics plays a significant role in solving engineering problems. This paper presents the results of in-class real-time assessments of students’ fundamental skills of applying vectors and calculus to solve problems in engineering dynamics, a sophomore-year foundational undergraduate engineering course. In-class real-time assessments were conducted via a radio-frequency wireless technology called Classroom Response System (nicknamed clickers). The focus of this paper is not on the introduction to clicker technology because clicker technology has been well known and well documented. The focus of this paper is on detecting and assessing students’ fundamental vector and calculus skills using clickers as a tool for collecting real-time data. This paper provides several examples to demonstrate how the instructor obtained immediate feedback from students in the classroom and then make just-in-time adjustments of the lecture to maximize student learning outcomes. Discussions are also made concerning the integration of engineering into mathematics classrooms.
Fang, N. (2021, July), In-Class Real-Time Assessments of Students’ Fundamental Vector and Calculus Skills in an Undergraduate Engineering Dynamics Course Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--37313
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