Paper ID #34057Work in Progress: Hands-on Engineering Dynamics using Physical ModelsinLaboratory SessionsDr. Mohammad Shafinul Haque, Angelo State University Assistant Professor (Mechanical Engineering) at Angelo State University. American c Society for Engineering Education, 2021 Work in Progress: Hands-on Engineering Dynamics using Physical Models in Laboratory SessionsAbstractEngineering Dynamics is one of the fundamental courses that most engineering students have totake in sophomore year. In Dynamics, students have to deal with problems of motion and
Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for seven years. Brian has taught in the Mechanical Engineering Department at Cal Poly, San Luis Obispo since 2006. During the 2011-2012 academic year he participated in a professor exchange, teaching at the Munich University of Applied Sciences. His engineering education interests include collaborating on the Dynamics Concept Inventory, developing model-eliciting activities in mechanical engineering courses, inquiry-based learning in mechanics, and design projects to help promote adapted physical activities. Other professional interests
Indianapolis. I like researching additive manufacturing as well as new forms of education for engineers.Mr. Bill Faton, University of Indianapolis I am a junior studying Mechanical Engineering at the University of Indianapolis. I have interests in coding, additive manufacturing, and engineering education.Mr. James T. Emery II, University of Indianapolis James Emery is the Laboratory Manager for Mechanical Systems at the R.B. Annis School of Engineering at the University of Indianapolis. Prior to coming to the University of Indianapolis James worked as a lead model maker at a scale model wind tunnel.Dr. Kenneth Reid, University of Indianapolis American c Society for
Work in Progress: Thematic Analysis of Engineering Students’ Technical WritingAbstractThis study describes the process of thematic analysis within the context of teaching and learningtechnical writing in a materials testing laboratory course. This process involves searchingstudents’ lab reports for their writing mistakes and sorting the relevant extracts into categoriesand identifying themes. Characterization and theme identification are made by analyzingprevious semesters’ reports for a total of 140 lab reports and pre-defining the themes for futureapplications. Observations may be made at each semester that do not fit into any of the pre-defined categories. For this reason, the themes will grow over the course
included homework assignments, comprehensive problemsets, a laboratory report, two engineering design projects, two midterm examinations, and a finalexamination. The number of assessments by topic are shown in Table 1. A full breakdown of thegraded requirements for the previous and new versions of the course are shown in Table 2.Previous studies indicated out-of-class assignments increased student engagement with thematerial more than in-class exercises [18]. Therefore, the reading quizzes in the previous versionof the course were replaced with out-of-class homework assignments focused on both problemsolving and self-learning. Table 2: Graded requirements for the two versions of MC300
Paper ID #32895The Mechanics of SUCCESS: How Non-Cognitive and Affective Factors Re-lateto Academic Performance in Engineering MechanicsDr. Brian P. Self, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for seven years. Brian has taught in the Mechanical Engineering Department at Cal Poly, San Luis Obispo since 2006. During the 2011-2012 academic year he participated in
, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for seven years. Brian has taught in the Mechanical Engineering Department at Cal Poly, San Luis Obispo since 2006. During the 2011-2012 academic year he participated in a professor exchange, teaching at the Munich University of Applied Sciences. His engineering education interests include collaborating on the Dynamics Concept Inventory, developing model-eliciting activities in mechanical engineering courses, inquiry-based
videos, example problems, quizzes, hands-on laboratories, demonstrations, and group work. Dr. Kerzmann is enthusiastic in the continued pursuit of his educational goals, research endeavors, and engagement of mechanical engineering students.Mr. Lee Allen Dosse, University of Pittsburgh Lee A. Dosse is a PhD student working with the Engineering Education Research Center at the University of Pittsburgh. ©American Society for Engineering Education, 2021 Development of an Interactive Top Hat Text for Engaged LearningAbstractCollegiate education requires a multi-faceted instructional approach both within and outside theclassroom to effectively build student comprehension and competency. There are
Professor in the School of Mechanical Engineering at Purdue University and serves as the Director of the Ray W. Herrick Laboratories and the Director of Practice for MEERCat Purdue: The Mechanical Engineering Education Research Center at the same institution. He previously served as the Associate Director of PERC: The Purdue Energetics Research Center. Dr. Rhoads received his B.S., M.S., and Ph.D. degrees, each in mechanical engineering, from Michigan State University in 2002, 2004, and 2007, respectively. Dr. Rhoads’ current research interests include the predictive design, analysis, and implementation of resonant micro/nanoelectromechanical systems (MEMS/NEMS) for use in chemical and biological sensing