Seattle, Washington
June 14, 2015
June 14, 2015
June 17, 2015
978-0-692-50180-1
2153-5965
Division Experimentation & Lab-oriented Studies: Mechanical Engineering and Control
Division Experimentation & Lab-Oriented Studies
9
26.1228.1 - 26.1228.9
10.18260/p.24565
https://peer.asee.org/24565
538
Julianne Vernon is a Postdoctoral Fellow at the University of Michigan, the College of Engineering, researching and assessing the redesign of the first year engineering experience. She received her bachelors of engineering in chemical engineering from the City College of New York and her doctorate degree at University of Florida in Environmental Engineer. She has experience developing international and national research experience for STEM majors. Her interests include course development to increase engage learning for first year engineers.
Dr. Cynthia Finelli, Director of the Center for Research on Learning and Teaching in Engineering and research associate professor of engineering education at University of Michigan (U-M), earned B.S.E.E., M.S.E.E., and Ph.D. degrees from U-M in 1988, 1989, and 1993, respectively. Prior to joining U-M in 2003, she was the Richard L. Terrell Professor of Excellence in Teaching, founding director of the Center for Excellence in Teaching and Learning, and associate professor of electrical engineering at Kettering University. In her current role, she coordinates faculty and TA professional development in the College of Engineering, conducts rigorous engineering education research, and promotes the growth of engineering education both locally at UM and nationally. Dr. Finelli's current research interests include evaluating methods to improve teaching, studying faculty motivation to change classroom practices, and exploring ethical decision-making in engineering students. She also has established a national presence in engineering education; she is a fellow in the American Society of Engineering Education, is an Associate Editor of the IEEE Transactions on Education, and past chair of the Educational Research and Methods Division of ASEE.
Noel Perkins is the Donald T. Greenwood Collegiate Professor of Engineering and an Arthur F. Thurnau Professor in Mechanical Engineering at the University of Michigan. He earned his PhD at U. C. Berkeley in 1986 (Mechanical Engineering) prior to joining the faculty at Michigan. His research interests draw from the fields of computational and nonlinear dynamics with applications to the mechanics of single molecule DNA and DNA/protein complexes, wireless inertial sensors for analyzing human motion, and structural dynamics, topics on which he has published over 150 publications in archival journals and conference proceedings.
Piloting i-‐Newton for the Experiential Learning of Dynamics Newtonian dynamics is the foundation for STEM education that starts in middle school and progresses through high school and college. A solid understanding of Newton’s laws is critical for students pursuing degrees in engineering, physics, and chemistry, as well as in most life sciences. Students seem proficient at reciting Newton’s law with ease; however, few are able to apply these laws to natural and engineered systems. This disconnect in students’ conceptual understanding may be linked to fundamental misconceptions of Newton’s laws and to an abundance of over fabricated examples. Hands-‐on laboratories that feature real measurements could allow students to probe the dynamics of realistic systems, thereby strengthening their conceptual understanding. However, the prohibitive cost of equipment and dearth of laboratory space limits these options. Our project aims to overcome these challenges by utilizing a new, highly-‐portable and inexpensive technology, which we call interactive-‐Newton (i-‐Newton), that can engage students in the experiential learning of dynamics outside the confines of the traditional teaching methods. We hypothesize that including i-‐Newton based instructor demonstrations and student experiments in undergraduate physics and engineering courses will positively impact students’ conceptual understanding. As a result of having a stronger understanding of the fundamental concepts, we hypothesize that this will also increase students’ self-‐efficacy and their intention to persist in the major. We introduced i-‐Newton experiments in two sections of PHYS 161: Introductory Honors Physics -‐ Laboratory and two sections of ME 240: Introduction to Dynamics and Vibrations. Students in these four course sections comprise our intervention group. For purposes of comparison, we established a control group which consisted of students enrolled in three sections of ME 240 in which i-‐Newton was NOT introduced. Students in both the intervention and control groups were asked to complete a series of instruments to provide data for assessing the impact of i-‐Newton. First, to measure the impact on students’ conceptual understanding, we used validated concept inventory instruments. Students in PHYS 160 completed the Force-‐Motion Concept Evaluation (FCME) at both the beginning and end of the course, while students in ME 240 completed the Dynamics Concept Inventory (DCI) at the end of the course. Additionally, students in both courses completed a modified version of the Longitudinal Assessment of Engineering Self-‐Efficacy (LAESE) survey. The LAESE is a validated instrument that measures engineering self-‐efficacy, course specific self-‐efficacy, intention to persist in the field, and feelings of inclusion. For this paper we will describe i-‐Newton in detail and present findings about the impact of i-‐Newton on students’ conceptual understanding, self-‐efficacy, and intention to persist in the major. In particular, for conceptual understanding, we will compare item-‐by-‐item gains in FCME data from the beginning to the end of the PHYS 161 courses, and we will compare these gains to historical trends. For ME 240, we will compare end-‐of-‐course DCI data for the control and the intervention groups on an item-‐by-‐item basis. To assess the impact on students’ self-‐efficacy and intention to persist in the major, we will compare relevant LAESE data from the beginning to the end of the term in each intervention class, and we will compare gains between the control and intervention groups. We will conclude by describing our plans for a broader implementation of i-‐Newton and offering suggestions for others wishing to use similar approaches to experiential learning.
Vernon, J., & Finelli, C. J., & Perkins, N. C., & Orr, B. G. (2015, June), Piloting i-Newton for the Experiential Learning of Dynamics Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.24565
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