Paper ID #33570Work in Progress: Implementing Project-based Learning Into SophomoreMechanics CourseMr. Casey Daniel Kidd, Louisiana Tech University Casey Kidd is a PhD student and graduate assistant in the College of Engineering at Louisiana Tech University. His focus is Engineering Education, with an emphasis on project-based learning. He earned his bachelor’s degree in mechanical engineering from Louisiana Tech in 2004. Since then, he has worked as a stress analyst for an oil and gas contractor in Houston, TX, and as a mechanical design engineering for a NASA contractor at the Johnson Space Center. He then spent
changes in those courses can impact student learning and retention. American c Society for Engineering Education, 2021 Advancing computational knowledge and skill through computing projects in sophomore-level mechanics coursesAbstractThe desire to graduate students with more advanced computational knowledge has become a hot topic incurriculum design. One route to do that is through integration of computing in the foundational mechanicscourses (statics, dynamics, and solid mechanics). The implementation of computing projects in thesesophomore-level courses has resulted in computing becoming an integral part of those courses at
problem development.ContextsThe three instructors on this project work in different contexts and covered different content todate. We include mechanics instructors for first-year at a transfer college (Douglas College, Site1B, particle dynamics questions), first-year at a mid-sized public research-intensive university(University of Saskatchewan, Site 2, statics questions), and second-year at a large publicresearch-intensive university (the University of British Columbia, Site 1A, rigid body dynamicsquestions) in two separate regions (1 and 2). The present collaboration began with projects thathad started at each site separately. Site 1A started a project to develop online homework andvideo worked problems for second-year mechanics. Site 1B
many papers written on team formation. Some of these papers focuson team formation for senior design [2, 3], while others focus on comparing different teamformation strategies, such as comparing self-selected teams versus instructor-selected teams [2-5]. In Ref. [2], the teams were half self-selected and the other half were assigned by theinstructor using the Jung Typology Test, which is based on Carl Jung and Isabel Myers-Briggs’typological approach to personality. Ref. [3] considered different approaches for assigningteams in a capstone design course. One approach had faculty forming teams based on studentsurveys of project interests, skills, time availability, and team preferences. The alternativemethod enabled students to form their own
mechanicsstudents that include four phases (see, feel, practice, and apply) for better understanding [5]. The“see” and “feel the concept” is achieved by a traditional lecture followed by a hands-on physicallaboratory session. Assigned homework and problem-solving sessions facilitate the “practice”phase; while a team design project ensures the “apply” phase of the program. The approachcreates a collaborative learning environment that showed improvement in student understanding.Avitabile suggested that experimental problem solving improves student understanding [6],[7]. Itis emphasized that the experiments should have unpredictable outcomes enforcing criticalthinking. A data acquisition system is introduced to the students call RUBE (Response Underbasic
StudyMC300 - Fundamentals of Engineering Mechanics and Design is an introductory level, threecredit-hour course, which covers the basics of statics and mechanics of materials. This course istaught to both engineering and non-engineering majors, primarily second- and third-yearundergraduates. Approximately 450 students are enrolled each year. The course is divided intothree blocks: 1) Statics; 2) Axial Loaded Members; and 3) Flexural Members. The topics coveredare shown in Table 1. Table 1: Lesson topics and assessments for MC300 Assessments by Topic Topics Lessons Homework Problem Set Design Project/Lab STATICS (9) (7) (2
Performance at the University of Central Florida. Her interests include resampling method, propensity score analysis, research design, measurement and evaluation, and the applications of statis- tical methods in educational research and behavioral sciences. She is actively involved educational and social science research projects. Dr. Bai has published books and many professional articles in refereed national and international journals. She has won several competitive awards at the University of Cen- tral Florida for her excellent teaching and research. Dr. Bai also served on several professional journal editorial boards, such as Journal of Experimental Education, Frontiers in Quantitative Psychology and Measurement, and
the problem-solving methods used by engineering students and howthey relate to spatial skill levels.ParticipantsIn fall 2019, students in their third or fourth year, who were enrolled in a Mechanical, or closelyrelated, engineering program at the University of Cincinnati, were recruited for participation inthis study through announcements in their upper division courses. A total of 47 students,including five female students (10.6%), participated in the study. Students were compensated $75for their participation in the project. All research conducted through this project was monitoredand approved by the Institutional Review Board at the university.ProcedureThe student participants completed the Mental Cutting Test (MCT, [10]), a test of
componentsof the course is also provided.IntroductionNC State University is very lucky to have a unit in the Provost’s office for distance learning andlearning technology applications (DELTA). DELTA maintains the learning technology softwareused across campus such as Moodle, our Learning Management Software (LMS). DELTA alsoadministers grant programs for faculty. The grant I received matches instructional designers,multi-media experts, and project managers with faculty to redesign portions of their course. Theinstructional designer on this project was Yan Shen. Ben Huckaby provided graphical designassistance, and David Tredwell was our team lead for multimedia development.DELTA has added a gamification module to Moodle for use at NC State. Before my
multi-year integrated system design (ISD) project for mechanical engineering students. He is a mentor to mechanical engineering graduate teaching fellows and actively champions the adoption and use of teaching technologies. American c Society for Engineering Education, 2021 Effect of a Concept Review Intervention on the Students’ Knowledge Retention and Demonstration of Prerequisite Fundamental ConceptsAbstractStudents achieve functional knowledge retention through active, spaced repetition of conceptsthrough homework, quizzes, and lectures. True knowledge retention is best achieved throughproper comprehension of the
using it to determine mastery of more abstractideas. All implementations of a mastery-based learning systems reported in the literature have shownbenefits, but reported outcomes are often quite different, making it difficult to compare the impacts of thevarious approaches.This paper is a follow-up to a previous paper by the authors that described how a mastery-based gradingsystem was implemented in three sophomore mechanics courses, Statics, Dynamics, and DeformableSolids through an effort we call The Mechanics Project [8]. The mastery-based grading system used inthose courses provides data on the progress toward mastery of every student on the objectives in thatcourse during each semester. This mastery progress is fed back to the student in
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
projects or activities. During “dynamics in one week,” students are engaged with examplesassociated with interesting videos of dynamic systems in action. Examples were adapted fromthe textbook by Gray, Costanzo, and Plesha [18], who revisit some systems several times indifferent contexts in their back-of-chapter problems.The present paper includes a description of the “dynamics in one week” curriculum, presents anddiscusses student feedback collected via a survey instrument, and offers suggestions for futureimprovements as well as final conclusions.Curriculum DescriptionEach of the 52-minute instructional sessions was organized around one of the three topics:kinetics, kinematics, and simulation. During a session, five major events occurred: (1
projects ranging from consumer products to power systems. As a consultant she worked with over 75 different clients ranging from startups to Fortune 500 companies. Prof. Wodin-Schwartz is passionate about teaching core engineering and critical thinking skills that apply to application driven problem solving. She is excited to work with students to help them understand not only the technical skills required of them as engineers but also the social, environmental, and physical implications of implementing technical engineering solutions. Her work with adding context to problems and projects her courses has lead her to receive teaching awards including the Russell M. Searle and Morgan Distinguished Instructorships in
Paper ID #34138Development of a Low-Cost, Compact, and Portable Experimental Kit forOnline Engineering Statics CourseDr. Md Rashedul Hasan Sarker, University of Indianapolis Md Rashedul H Sarker is an Assistant Professor at R.B. Annis School of Engineering at the University of Indianapolis (UIndy). Prior to joining at UIndy, he worked as a lecturer at The University of Texas at El Paso (UTEP). He also earned his Ph.D. at UTEP. His teaching and research interests include ac- tive learning, project-based learning, energy harvesting, and developing sensors using multi-functional materialsDr. Najmus Saqib, University of
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 include aviation physiology and biomechanics.Jenna Landy, California Polytechnic State University, San Luis Obispo Jenna Landy graduated from Cal Poly, San Luis Obispo, in June 2020 with a Bachelor’s degree in Statistics and a minor in Data Science. She worked with this group from Fall 2018 until graduation, carrying out statistical analysis of
engineering and Mechanics at the University of Wisconsin, Milwaukee. Papadopoulos has diverse research and teaching interests in structural mechanics and bioconstruction (with emphasis in bamboo); appropriate technology; engineering ethics; and mechanics education. He has served as PI of several NSF-sponsored research projects and is co-author of Lying by Approximation: The Truth about Finite Element Analysis. He is active in the Mechanics Division.Dr. Aidsa I. Santiago-Rom´an, University of Puerto Rico, Mayaguez Campus Dr. Aidsa I. Santiago-Rom´an is a Professor and Chair in the Engineering Sciences and Materials (CIIM) Department at the University of Puerto Rico, Mayag¨uez Campus (UPRM). Dr. Santiago earned a BS and MS
engineering roles. He served as the mechanical coordinator for the RMU Engineering Department for six years, and was the Director of Outreach for the Research and Outreach Center in the School of Engineering, Mathematics and Science. In 2019, Dr. Kerzmann joined the Me- chanical Engineering and Material Science (MEMS) department at the University of Pittsburgh. He is the advising coordinator and associate professor in the MEMS department, where he positively engages with numerous mechanical engineering advisees, teaches courses in mechanical engineering and sustainability, and conducts research in energy systems. Throughout his career, Dr. Kerzmann has advised over eighty student projects, some of which have won
SMART assessment, a modified mastery learning pedagogy for problem based courses. He created and co-teaches a multi-year integrated system design (ISD) project for mechanical engineering students. He is a mentor to mechanical engineering graduate teaching fellows and actively champions the adoption and use of teaching technologies. American c Society for Engineering Education, 2021 Cheating and Chegg: a RetrospectiveAbstractIn the spring of 2020, universities across America, and the world, abruptly transitioned to onlinelearning. The online transition required faculty to find novel ways to administer assessments andin some cases, for
for 20 years. She has been an active member of ASEE since 1998. She joined as a graduate student, after working on an engineering education project and presenting that work and student chapter activities at annual conference. As a faculty member, she regularly publishes and presents at the ASEE Annual Conference. Her interests are in design education and assessment in mechanical and biomedical engineering. She previously served ASEE in leadership roles in the ERM and Mechanics Divisions and as a PIC-III Chair.Ms. Melanie Amadoro, Rowan University American c Society for Engineering Education, 2021 Successes, Expectations and Challenges associated with In
has taught mechanics and related subjects at many institutions of higher learning: The University of Michigan, Eastern Michigan University, West- ern Wyoming College, Ecole Nationale Sup´erieure Polytechnique, Yaound´e, Cameroon, and Rochester Institute of Technology (RIT) and Purdue University Fort Wayne. He has been investigating the strategies that engineering students use to learn engineering subjects for many years. He is an active member of two research groups in his current department: The Undergraduate Projects Lab and the Energy Systems Lab. He is also the PI of an NSF grant for a scholarship program for guiding high-performing STEM majors from low-income families to complete their baccalaureate degrees on
, recordedvideos are preferred in terms of allowing students to learn with their own pace; and (3) livelecture sessions outperform in connecting the students with one another and the instructor.4. Provisional Refinements to Address Challenges Faced by Students in Online LearningStudents’ survey responses, overall, suggest the following challenges in comparison with face-to-face instruction: (1) students feel less motivated to collaborate on assignments, (2) it is moredifficult for students to follow the lecture and not get distracted, and (3) it is more difficult forstudents to connect with each other. Presented below are tentative approaches to address thesechallenges to some extent.To motivate students’ interaction and collaboration on projects and
learning in mechanics, and design projects to help promote adapted physical activities. Other professional interests include aviation physiology and biomechanics.Matthew Parsons Fuentes, Everett Community College American c Society for Engineering Education, 2021WIP: Hands-On Statics in the Online “Classroom”AbstractEngineering instructors often use physical manipulatives such as foam beams, rolling cylinders,and large representations of axis systems to demonstrate mechanics concepts and help studentsvisualize systems. Additional benefits are possible when manipulatives are in the hands ofindividual students or small teams of students who can explore concepts at their own
the 2008 Section Outstanding Teaching Award.Todd Haskell Todd Haskell is a cognitive scientist interested in learning and the development of expertise, especially in STEM fields. He is currently Associate Professor of Psychology at Western Washington University. In previous projects Dr. Haskell has worked on understanding how chemistry novices and experts navi- gate between macroscopic, symbolic, and small particle representations, and how pre-service elementary teachers translate an understanding of energy concepts from physics to other disciplines.Dr. Lee Singleton, Whatcom Community College Lee Singleton is a professor at Whatcom Community College, in Bellingham, WA. He holds a BS in mathematics from Harding
2020: Visions of engineering in the new century. National Academies Press Washington, DC, 2004.[6] S. J. V. G. D. Committee, S. J. Venture, U. S. F. E. M. Agency, S. E. A. o. California, A. T. Council, and C. U. f. R. i. E. Engineering, Recommended Seismic Evaluation and Upgrade Criteria for Existing Welded Steel Moment-frame Buildings. Federal Emergency Management Agency, 2000.[7] E. Wheeler and R. L. McDonald, "Writing in engineering courses," Journal of Engineering Education, vol. 89, no. 4, pp. 481-486, 2000.[8] B. Brooks, "Responding to student writing: Action research project," Retrieved June, vol. 12, p. 2011, 2000.[9] C. Costello and D. Blakesley, "Integrating written, oral, visual, and
, which occur in a two-dimensional space. Although trusses can contain non-triangles, the problems explored in Mechanixand many introductory courses all contain only triangles, so we focus on recognizing trussescontaining only triangles.For the purposes of this project, we define a truss to have the following properties: 1. A connected graph 2. Made up of only triangles 3. Each triangle shares at least one side with anotherTrusses are recognized in the following four steps:Graph conversion: The first step in recognizing a truss is to convert the substrokes into a graph.Each substroke end is a possible node, and the substroke itself is an edge in the graph. If the endsare within a threshold Euclidean distance of 30 pixels from an existing
Testing lab at Missouri S&T, teaches mechanics of materials and develops digital educational resources for the engineering students. He had the opportunity of leading several scientific and industrial research projects and mentoring graduate and undergraduate students. Over the span of his career, Dr. Libre authored and co-authored 3 chapter books, 17 peer-reviewed journal articles and over 60 conference papers. He has advised and co-advised 8 gradu- ate students and mentored over 30 undergraduate students. He has collaborated with scholars from several countries, including Iran, China, Slovenia, Canada, and the US. He also served as a reviewer for 6 journals and a committee member of 5 conferences. He is the
team hasconducted a research project that provides the environment and its accompanying diverseresources to different universities in North America and South America. In Spring 2016, Prime(pseudonym) University decided to use Freeform for an undergraduate dynamics course.The goal of this study was to examine how students perceived the Freeform learningenvironment at Prime University, whose school context differs from that of Purdue University.Much research has focused on estimating the quantitative impact of educational interventions(especially curricular) on student learning outcomes. However, previous research has paid lessattention to how students perceive the potential affordances of the learning environmentassociated with an intervention
and Physics 1,and students are expected to be proficient in these areas. Grades are based on a weighted averageof two statics exams (40%), one dynamics exam (26%), six quizzes (18%), and two projects(16%). Students must earn a minimum grade of C in the course and at least a 70% exam average tomove on to follow-up courses that require Engineering Mechanics as a prerequisite. Over the pastfour years, the overall passing rate for this course is 72%. The average passing rate was 70%,78%, 70%, and 68%, respectively, from 2017 to 2020.For the fall semester of 2020, the enrollment in the two sections of the course were 45 and 33. Dueto social distancing requirements as determined by the Centers for Disease Control and Prevention(CDC) during the