conducted through funding from a University of Florida Foundation Grant“Goldberg Gators Engineering” program as part of the EQuIPD project at the University ofFlorida. The researcher would like to thank their co-authors and the rest of the research team fortheir assistance and support throughout this study. In particular, the researcher would like to thankAreesha Razi for the time and effort spent in support of codebook testing and revision.7. References[1] Committee on Effective Mentoring in STEMM, Board on Higher Education and Workforce, Policy and Global Affairs, and National Academies of Sciences, Engineering, and Medicine, The Science of Effective Mentorship in STEMM. Washington, D.C.: National Academies Press, 2019, p. 25568. doi
providestudents with dedicated time to develop their system maps, receive feedback from instructors andteaching assistants, engage in collaborative brainstorming, and interact with campus and externalexperts for valuable insights and guidance. These sessions also serve as platforms for peer-to-peer knowledge exchange and constructive feedback on project proposals and system maps. 1.3 Systems Thinking Process as a Conceptual Framework: A search for most fitting frameworks was conducted to best understand the connectionbetween ST process steps and the various ST skills. The ST Process as a conceptual framework[9] was chosen to maintain consistent analysis across various research work previouslyconducted on the topic of ST skill building [6, 7
(HT) is a required course for students completing the mechanical engineering concentration andis taught annually in the Spring. Students typically take the course during their third-year in theengineering program. In Spring 2024, 30 students were enrolled in HT.In Spring 2009, the instructor began teaching a heat transfer course using a traditional,lecture-based pedagogy. During the following years, the instructor both heard from other facultyand witnessed how electrical engineering students were better prepared to handle the open-endproblems encountered during Senior Design projects. One electrical engineering course inparticular (ENGE 420 Embedded Systems Design, taught by Dr. Gary Spivey) seemed to be themain contributor to student
overlapping part body. Missingor dimensionally incorrect features can be visualized to prompt self-correction. It’s also easierfor the instructor to hone in on errors when providing help. One drawback of this approach is thatit limits the practice of reading and interpreting views in drawings which can be a secondarylearning outcome in a CAD class as is the case for the capstone example discussed earlier. As illustrated earlier, more complex assignments where students are expected to do more independentthinking on their modeling strategy, capture design intent, and use appropriate best practices are muchmore challenging to automate their assessment. It might even be true that because more complexassignments such as a capstone project are meant to
employees involved in a construction project,” [20]. In 1976 NSPE funded adecertification drive for engineers employed by the Leeds & Northrop Company. 1980 NSPEweighed in as a ‘friend of the court’ in the US Supreme Court case regarding Yeshiva University,which did not have an engineering faculty, to support the notion that teaching and professionalstaff had sufficient supervisory authority to bar them from unionizing. The Supreme Courtdecided in favor of this position, with the far-reaching effect of barring the faculty at all USprivate higher education institutions from unionizing.It is within this historical context that we analyze NSPE’s use of the codes of ethics to furthertheir anti-union actions and the ideology of business
teaches engineering mechanics, structural engineering, and introduction to engineering courses and enjoys working with his students on bridge related research projects and the ASCE student chapter. His research interests include engineering licensure policies, civil engineering curriculum development, and the use of innovative materials on concrete bridges.Dr. Benjamin Z. Dymond, Northern Arizona University Ben Dymond obtained his B.S. and M.S. degrees in Civil Engineering at Virginia Tech before obtaining his Ph.D. in Civil Engineering at the University of Minnesota Twin Cities. Ben is currently an associate professor of structural engineering at Northern Arizona University.Dr. Kacie Caple D’Alessandro, Virginia Military
MSE curricula at upper-level undergraduateand graduate courses, introductory courses are still largely taught with traditional diagrams andformulae approaches, leaving computational thinking, exploration, and modeling for later. Thistraditional approach misses an opportunity to leverage computational modeling as a coreteaching and learning tool when students begin their study of MSE. According to the OpenSyllabus project [11], which has collected over 230,000 engineering syllabi, the most popularintroductory MSE textbook, authored by Callister and Rethwisch [12], is the second mostassigned textbook across all engineering disciplines. This textbook has been through manyeditions, but it was originally written in 1985 and does not include any
. Harmon, T. C.; Burks, G. A.; Giron, J. J.; Wong, W.; Chung, G. K. W. K.; Baker, E. L., An interactivedatabase supporting virtual fieldwork in an environmental engineering design project. Journal of EngineeringEducation 2002, 91, 167-176.13. Prince, M. J.; Felder, R. M., Inductive teaching and learning methods: Definitions, comparisons, andresearch bases. Journal of Engineering Education 2006, 95 (2), 123-138.14. Glasersfeld, E. V., Cognition, construction of knowledge, and teaching. Synthese 1989, 80 (1), 121-140.15. Dewey, J., How we think: A restatement of the relation of reflective thinking to the educative process. D.C.Heath and Company: Boston, 1933.16. Jonassen, D. H., Computers as mindtools for schools, engaging
Page 22.1157.5phenomenography to explore specific concepts in computing education.StudyThe main purpose of this study was to uncover the different ways that individuals understanddifferent programming concepts, specifically the concepts of conditional and repetitionstructures. Based on the goals of this project, the following two research questions were posed: 1) What are the qualitatively different ways that the conditional and repetition structures found in most programming languages are understood? 2) What are the ways that first-year engineering students understand these concepts?To answer these questions, a phenomenographic approach was chosen. One of the essentialelements when designing a phenomenographic study is the
for Engineering Education.9. Cardella, M.E., Mathematical modeling in engineering design projects, in Modeling Students' Mathematical Modeling Competencies, R. Lesh, et al., Editors. 2010, Springer: New York. p. 87-98.10. Gainsburg, J., The mathematical modeling of structural engineers. Mathematical Thinking and Learning, 2006. 8(1): p. 3-36.11. Jansen, B.R.J. and H.L.J. van der Maas, The development of children’s rule use on the balance scale task. Journal of Experimental Child Psychology, 2002. 81: p. 383-416.12. Misailidou, C. and J. Williams, Diagnostic assessment of children’s proportional reasoning. Journal of Mathematical Behavior, 2003. 22: p. 335-368.13. Tapia, M. and G.E. Marsh, An instrument to
develop expertise in theirmajor as well as gain experience in a variety of department-specific subjects.Engineering seminar courses are typically not required but encouraged, particularly for freshmenstudents. A series of introductory seminars targets freshmen and sophomore studentsspecifically to expose them to research areas within a department. Other departmental seminarsconsist of weekly talks given by invited speakers from industry and research, thereby enablingstudents to learn about a broad range of engineering applications. Seminars are typically one tothree units and may be graded on a pass / fail basis.Students at SPri also have the opportunity to take independent study units to participate inresearch projects with faculty and their
highsatisfaction with the instructions and MACILE in general, they were still able to find areas forpossible improvements. In robotics, for example, the students showed high satisfaction with theclass, but at the same time, about 50% of them suggested more homework, projects, and morecontent as ways to improve the class. Another example deals with student selection. Moststudents find MACILE excellent as a program, but some suggest that the admission processneeds improvement. They suggest that only “students that want to learn” be admitted, indicatingthat they notice the behavior of their peers. Page 22.108.8In summary, the results are still tentative, but
governed by a nonlinear differential equation(s). This situation often occurs whenstudents are assigned design projects, or more importantly when students practice engineering inindustry after graduation. Students are taught, in a series of dynamics courses, how to derive theequation of motion of a dynamic system whose resulting differential equation can be linear ornonlinear. At the same time, students these days are taught such that they are capable of usingthe above mentioned NAS to solve differential equations, even though their usage is mostlyfocused on solving ordinary linear differential systems. For most undergraduate mechanicalengineering students, who have no experience with the complex nature of nonlinear dynamicsystems, numerical
Paper ID #38481Oral Assessments as an Early Intervention StrategyCurt Schurgers, University of California, San Diego Curt Schurgers is an Teaching Professor in the UCSD Electrical and Computer Engineering Department. His research and teaching are focused on course redesign, active learning, and project-based learning.Dr. Saharnaz Baghdadchi, University of California, San Diego Saharnaz Baghdadchi is an Assistant Teaching Professor at UC San Diego. She is interested in scholarly teaching and uses active learning techniques to help students achieve an expert-like level of thinking. She guides students in bridging the gap
projects with an emphasis on statistical analyses and big data.Ms. Jessica Allison Manning, Clemson University Jessica Manning is a graduate student in the Department of Engineering and Science Education at Clem- son University. She is also a Graduate Administrative Assistant for the Bioengineering Department and assists with advising students throughout their academic careers. ©American Society for Engineering Education, 2024 Community Cultural Wealth from an Engineering and Science Education Department Abstract Asset-based frameworks are used to describe the strengths that individuals bring to new situations, including graduate
mentorship, research, and teaching.Alexandra Coso Strong (Assistant Professor) Alexandra Coso Strong works and teaches at the intersection of engineering education, faculty development, and complex systems design. Strong completed her doctorate in aerospace engineering at Georgia Tech in spring, 2014. While a doctoral student, Strong was a National Science Foundation graduate research fellow and a member of the Cognitive Engineering Center. The goal of her doctorate research was to improve students’ abilities to think more broadly about complex systems design and to take into account stakeholder-related considerations within their design projects. Prior to attending Georgia Tech, Strong received a bachelor’s degree in
Paper ID #5941Student Perceptions and Interest in Engineering: Effects of Gender, Race/Ethnicity,and Grade LevelDr. Susannah Sandrin, Arizona State University Dr. Susannah Sandrin is an Assistant Clinical Professor at Arizona State University. Her research interests are in the areas of STEM education, specifically looking at the influences of social and economic factors on pre-college student engagement with STEM fields. She has directed numerous research, outreach and dissemination grant projects examining gender and student participation in STEM programs (including NASA and National Science Foundation, among others
and Data Services. Since the summer of 2012, Natsuko has been involved in developing and implementing library data services. After joining the University of Michigan Library in 2009, the majority of her time and effort has been dedicated to textbook initiatives at the University of Michigan Library. Her research orientation and knowledge of both quantitative and qualitative methodological techniques has enabled her to conduct several textbook-related studies that examine and assess a wide range of potential roles the Library can play in increasing textbook affordability for the Michigan scholarly community. Natsuko most recently served as a project manager for the campus-wide eTextbook Initiative led by the
engineering and technical project management. Tanya most recently taught mathematics at the Denver School of Science and Technology, the highest performing high school in Denver Public Schools.Dr. Jacquelyn F. Sullivan, University of Colorado, BoulderDr. Beverly Louie, University of Colorado, Boulder BEVERLY LOUIE is the director for teaching and learning initiatives in the Broadening Opportunities through Leadership and Diversity (BOLD) Center in CU’s College of Engineering and Applied Science. She holds B.S. and M.S. degrees in chemical engineering from CU, and a D.Phil. in mechanical engineer- ing from the University of Oxford, England. Dr. Louie’s research interests are in the areas of engineering student retention and
Department Head of Graduate Education and co-Director of the VT Engineering Communication Center (VTECC). She received her PhD in Linguistics from the University of Chicago and an M.A. and B.A. in English from the University of Georgia. Her research interests include interdis- ciplinary collaboration, design education, communication studies, identity theory and reflective practice. Projects supported by the National Science Foundation include interdisciplinary pedagogy for pervasive computing design; writing across the curriculum in Statics courses; as well as a National Science Foun- dation CAREER award to explore the use of e-portfolios for graduate students to promote professional identity and reflective practice. Her