they have supported through academic scholarships as well as the 150 students theyhave supported through the leadership class.In this paper, we consider an evaluation of the Engineering Leadership program at the Universityof Kentucky. The evaluation was initially motivated by a set of self-submitted information thatpast participants submitted for sharing with other participants at the tenth anniversary of theprogram. Since this first set of data was collected for sharing among participants, it is subject tosocial desirability bias [3]. However, this data was a driver for collecting the second set of data,collected through an anonymous survey of past participants of the program. This paper reliesprimarily on this survey data.In the next section
Underlying Concept Maps and How to Construct and Use Them," Florida Institute for Human and Machine Cognition, 2006.[8] M. Besterfield-Sacre, J. Gerchak, M. Lyons, L. J. Shuman and H. Wolfe, "Scoring concept maps: An integrated rubric for assessing engineering education," Journal of Engineering Education, vol. 93, no. 2, pp. 105-115, 2004.[9] J. D. Novak, "Results and implications of a 12-year longitudinal study of science concept learning," Research in Science Education , vol. 35, no. 1, pp. 23-40, 2005.[10] E. Plotnick, "Concept mapping: A graphical system for understanding the relationship between concepts," ERIC Clearinghouse on Information & Technology, Syracuse, NY, 1997.[11] K. M. Edmonson, "Assessing science understanding
. Page 10.1410.16 [12] McGourty, J. and De Meuse, K.P. The Team Developer – Student Guidebook. John Wiley & Sons Inc., 2001. Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education Biographical Information Karim H. Muci-Küchler, Ph.D. Karim Muci-Küchler is an Associate Professor of Mechanical Engineering at South Dakota School ofMines and Technology. Before joining SDSM&T, he was an Associate Professor of Mechanical Engineering atUDM. He received his Ph.D. in Engineering Mechanics from Iowa State University in 1992. His main interest areasinclude Product
(Muniasamy et al., 2015).Implementation of cumulative assessment systems, supported by information technology,enhances academic performance and training quality. These systems monitor students'progress, providing timely feedback to facilitate their learning journey (Kozlov et al., 2019).In summary, cumulative assessments, emphasizing knowledge synthesis, play a pivotalrole in shaping comprehensive learning outcomes and aiding educators in refininginstructional strategies across diverse educational settings.Cognitive FatigueCognitive fatigue, marked by mental weariness, plays a pivotal role in shaping variousaspects of performance (Sievertsen et al., 2016). As the day progresses, there is a noticeabledecline in student test scores, underscoring the
State University.Dr. Vitaliy Popov, University of Michigan Vitaliy Popov is an Assistant Professor of Learning Health Sciences at the University of Michigan Medical School. His research focuses on understanding, designing, and evaluating learning technologies and environments that foster collaborative problem solving, spatial reasoning, engineering design thinking and agency. He is currently serving as a co-principal investigator on three projects funded by the National Science Foundation ranging from studying visuospatial skills development through origami to applying multimodal learning analytics in teamwork and understanding the mechanisms of an A-ha! moment. Dr. Popov completed his Ph.D. on computer-supported
Paper ID #12643Renewable Energy Technician Education: Lessons from the German En-ergiewendeMary Slowinski, M.Ed., CREATE NSF-ATE Center Mary Slowinski received her M.Ed. in Learning Science from the University of Washington where she will complete her PhD in the same. She has worked extensively with the National Science Foundation’s Advanced Technological Education program in a variety of consulting capacities including serving as learning coordinator for two international faculty learning projects, participating as an Innovation Coach for a ”scaling-up innovations” project, developing curriculum and learning materials
as follows. First, we present our research questions. Next, we present threekey themes emerging from our review of the literature related to black men in undergraduateengineering programs. While we are focused on undergraduates, we review elements of thebroader literature including important relevant themes into which the black male undergraduateexperience can be situated and more richly understood. For example, several studies of blackmale engineering faculty describe the criticality of bi-directional mentorship and relationalresources that empower black male faculty to persist (e.g., Burt (2020) and McGee (2015;2022)). We note that while we primarily review the engineering education literature, someselected references from STEM education
Wingate is an instructor at University of Colorado Boulder, where she teaches design and mechanics courses. She holds her PhD in mechanical engineering, and worked at NGAS as a materials scientist.Dr. Aaron W. Johnson, University of Colorado Boulder Aaron W. Johnson is an Instructor in Smead Aerospace Engineering Sciences at the University of Col- orado Boulder. Prior to this he was a postdoctoral research fellow at the University of Michigan and the Tufts University Center for Engineering Education and Outreach. He received his Ph.D. in Aeronau- tics and Astronautics from the Massachusetts Institute of Technology in 2014 and a bachelor’s degree in aerospace engineering from the University of Michigan in 2008
Katherine Goodman is assistant professor at the University of Colorado Denver, and curriculum lead at Inworks, an interdisciplinary innovation lab. Her research focuses on transformative experiences in engineering education. She is currently division chair of the Technological and Engineering Literacy - Philosophy of Engineering Division (TELPhE). American c Society for Engineering Education, 2021 Work in Progress: A Layered Mentorship Program for Engineering Student Success and RetentionAbstractThis Work in Progress paper of an Evidence-based Practice examines the impact of a LayeredMentorship Program (LMP) on the retention of first-year
problems.Specifically, we promote the Figure 1. The JavaGrinder course information page linksdevelopment of microworlds for users to course activities.designing engaging and relevant tasksto practice early computing skills. A microworld is a rich “virtual reality” environment with itsown rules, actions and consequences. Microworlds give students the opportunity to mastercomputer science skills on assignments associated with properties, phenomena and problemsassociated with microworld environments. Microworlds can use advanced simulation to embodythe kinds of social and technical problems that must be addressed in realistic engineeringproblems. These simulated environments afford students access to unique simulated
patent for pioneering work titled, ”Methods, Systems and Computer Readable Media for applying multi-push acoustic radiation force to samples and monitoring a response to quantify mechanical properties of samples,” showcasing her expertise in applied engineering. She is also a respected author, having co-authored two textbooks. Her debut, ”Algebra Essentials,” emerged during her tenure teaching Mathematics at Wake Tech Community College, while her second publication, ”Creating a Better World: Innovation, Ingenuity, and Engineering,” serves as a cornerstone in first-year engineering courses at NC State. In addition to her roles in curriculum development and instruction, Dr. Qaqish is deeply involved in research and
, such as variations of the iterative nature of the EDP, differences in thecomplexity and number of stages, and specific contextual elements, such as resource constraints orstudent diversity, that may shape implementation practices.This analysis aims to help inform how teachers conceptualize and plan for implementation of the EDP intheir classrooms, providing insights into their unique educational contexts and experiences withengineering practices. The findings will highlight the importance of providing differentiated professionaldevelopment and resources to better support teachers in effectively integrating the EDP into theircurricula. By examining how educators visualize and conceptualize the EDP, this research contributes to adeeper
Paper ID #31198Engineering Undergrads Effectively Communicate Their ExperienceDr. Andrew Olewnik, University at Buffalo, SUNY Andrew Olewnik is an Assistant Professor in the Department of Engineering Education and Director of Experiential Learning for the School of Engineering and Applied Sciences.Dr. Randy K Yerrick, University at Buffalo Randy Yerrick is Professor of Science Education and Associate Dean of the Graduate School of Education. He is an expert on the teaching of Science-Technology-Engineering-Mathematics (STEM), a Professor of Science Education, and an Associate Dean for the University at Buffalo. His research
: Page 14.462.7Page 14.462.81) Biomedical problem:The wealth of cell-scale or genomic information necessitates computational approaches that candeal with uncertainty in the data and yet provide testable hypotheses of cell physiology. Multiplegenomes have been sequenced and annotated, and experimental technologies are providinggenomic, proteomic, transcriptomic, and other cell-level data sets. Paralleling the developmentof these experimental technologies are computational methods for analyzing these data sets andgenerating models of cell function. While dynamics models described above can be particularlyinformative for an evaluation of time courses for signaling and regulatory pathways, suchparameters are unavailable for large-scale systems. An
Paper ID #22019Exploring Follow-up Effect of Scaffolding for Creative Problem Solving throughQuestion Prompts in Project-based Community Service LearningProf. Wei Zheng, Jackson State University Dr. Wei Zheng is a professor of Civil Engineering at Jackson State University. He received his Ph.D. in Civil Engineering from University of Wisconsin-Madison in 2001 and has over ten years of industrial experience. Since becoming a faculty member at JSU in 2005, he has made continuous efforts to integrate emerging technologies and cognitive skill development into engineering curriculum.Dr. Ye Yuan, Nantong UniversityMs. Jing Yan
Blauvelt, Clarkson UniversityMs. Laura J. Perry, Clarkson University Laura J. Perry is Director of Academic Technology and Support in the Office of Information Technology at Clarkson University, Potsdam, New York. In this role, Laura led the founding of the Teaching and Learning Corner (TLC), Clarkson’s first service center aimed to support the adoption of instructional technology and design practices for undergraduate and graduate education at Clarkson. Laura and her TLC team of senior instructional designers successfully campaigned to have Clarkson align with Quality Matters as an institutional member in 2017. The TLC has gone on to train dozens of faculty to apply the QM rubric in their own course. In the wake of
is lowenrollment in the EE major, and fewer programs offering electric power concentrations.Another huge challenge facing the electric power industry is the need to modernize and upgradethe electric power grid (3; 4; 5). Much of its infrastructure was built in the fifties, with seventypercent of transmission lines and transformers that are at least 25 years old, and sixty percent ofcircuit breakers more than thirty years old. Moreover, changing markets, new technologies, andgreenhouse gas emissions need to be addressed. Hydro-fracking is shifting energy sources fromcoal to natural gas and wind and solar powered generators are becoming more abundant. Inaddition, electric cars are gaining a foothold in the consumer market.Therefore, because of
the students. We often encourage the students to use the more detailed set asexam study checklists. Learning objectives should address all levels of Bloom’s Taxonomy,including the higher “process” levels, not just the lower “information” levels [23].Consider your and your students’ learning styles when designing a course. Several learningstyles models exist [23], including Meyer-Briggs, Felder-Silverman, and Kolb. Have yourstudents take a learning styles inventory exam. Try to present concepts from more than onelearning styles preference. Ideally, each concept should progress through all four cycles (why?,what?, how?, what if?) in Kolb’s model
BRIGE grant), advancing problem based learning methodologies (NSF CCLI grant), assessing student learning, as well as understanding and integrating complex problem solving in undergraduate engineering education (NSF CAREER grant). Her other research interests lie in cardiovascular fluid mechanics, sustainability research, and K-12 engineering outreach.Eric Pappas, James Madison University ERIC PAPPAS is an associate professor in the School of Engineering and the Department of Integrated Science and Technology at James Madison University. Page 15.1082.1© American Society for Engineering
knowledge andskills to respond to technological advancements, societal shifts, and changing expectations.Higher education institutions must also respond and adapt to these changes by supporting thedevelopment of the skills and competencies essential for student success and problem-solvingin this dynamic environment. Among these skills, we focus on engineering judgment as a criticalcapability for mindfully addressing complex, real-world problems. Recognizing its importance,ABET has emphasized the development of engineering judgment in two of its StudentOutcomes, highlighting the need for strategic educational approaches [1]. Engineering judgment involves making informed decisions in complex and uncertainsituations, often leveraging a
, Towson University Jennifer L. Kouo, is an Assistant Professor in the Department of Special Education at Towson University in Maryland. Dr. Kouo received her PhD in Special Education with an emphasis in severe disabilities and autism spectrum disorder (ASD) from the University of Maryland at College Park. She is passionate about both instructional and assistive technology, as well as Universal Design for Learning (UDL), and utilizing inclusive practices to support all students. Dr. Kouo is currently engaged in multiple research projects that involve multidisciplinary collaborations in the field of engineering, medicine, and education, as well as research on teacher preparation and the conducting of evidence-based
students. The Fall offering of this course is off-sequence of the primary offering of the course. As such the student population is different fromthe primary offering. The fall offering is populated by a greater proportion of internationalstudents, students transferring into first-year engineering from within the university, and studentsretaking the course for a second or third time than is typical of the primary offering.Two MEAs were implemented in Fall 2011. This work will focus on the first of these, the Just-In-Time (JIT) Manufacturing MEA. This MEA is about D. Dalton Technologies (DDT), amanufacturer of advanced piezoceramics and custom-made ultrasonic transducers. DDT operatesin a JIT manufacturing mode and requires a shipping service to
hours of training in academic coaching to become a certified Affiliate Coach with LifeBound, Inc. with a specialized focus in serving Science, Technology, Engineering, and Math (STEM) populations nationwide. Additionally, she has facilitated numerous national workshops on academic coaching which have been well received by a variety of audiences, including undergraduate and graduate students, fac- ulty and staff in higher education, and corporate representatives. In addition to leading these engaging sessions, Dr. Groh integrates coaching into WIEP programming, student mentoring, and her personal life.Darshini Render, Purdue University, West Lafayette Darshini Render is an Assistant Director for Student Success in the
only detected skills required by the automotive industrybut also creatively used a random forest algorithm to predict the salary of the job offers, wherethe existing job requirements and salary data are used for training the model. [20] presented aflow chart of the methodology used in the study - from scraping data using a web crawler,removing duplication, classification, information extraction, and job title matching. In all thethree studies, job ads are selected based on the authors’ experiences and understanding. Noselection framework or criteria for this data selection or keyword search is specificallymentioned. While these three studies highlight the use of big data technology and naturallanguage processing to automate the skill
toward overconfidence or optimistic thinking.12Learnable patterns include such things as directed searching for countervailing data to avoiddecision making based on limited information (the Law of Small Numbers); learning to use adevil’s advocate to avoid the common “overconfidence bias” that entrepreneurs tend to have.13These emerging elements of the research based “entrepreneurial mindset” are quite differentfrom the tools and techniques of the teaching approach by that name. That is not to deny theutility of the tools that the entrepreneurial mindset approach convey to students; but it is to callinto question the foundations of the pedagogy. No research supports the notion that the toolsoutlined by McGrath and MacMillan are endemic to
time listening to each other and there was less linearity in the answeringof questions. This was more evident anytime a point came up that one student disagreed with.These disagreements led to further exploration and students offered more detail about theirexperiences. Similarities also emerged in real time. This was interesting because whenstudents agreed on certain skills, they recognized that the details were still different andwould spend more time providing context and specific examples. This meant that eachparticipant was more curious and engaged. This is not unique to this group: whenever therewas a disagreement in the other focus groups, students would provide more insight. However,the contexts in the other focus groups were quite
Engineering (2001 - 2008)AbstractFor over two decades, the US government has supported gender equity programs in Science,Technology, Engineering, and Mathematics (STEM) disciplines. In 2001, the National ScienceFoundation (NSF) initiated the ADVANCE Institutional Transformation (IT) program with theprimary goal to increase the representation of women in STEM. Since 2001, 37 institutions ofhigher education have received the NSF ADVANCE IT awards, and 19 have completed theirfive-year projects. Using the American Society of Engineering Education (ASEE) data, weassess the changes in the representation of full-time tenure-track women faculty in engineeringcolleges. While earlier cross-institutional studies of the ADVANCE IT program focus only onADVANCE
UniversityIntroductionThe entire undergraduate curriculum of the Electrical and Computer Engineering (ECE)Department in the Pratt School of Engineering at Duke University is undergoing substantiverevisions. Our goals are to revise the overall structure of the curriculum while incorporating atheme of Integrated Sensing and Information Processing (ISIP), to provide continuity byemphasizing the interrelatedness of ECE topic areas, and to incorporate innovative pedagogicaltechniques and hands-on experience throughout the curriculum while maintaining our curricularflexibility. The ISIP theme is compatible with research strengths of our faculty, and the broaderthemes of biology, economics, and computer science that our students often pursue with theirelectives. Our
impact of equity, diversity, and inclusion interventions on students'likelihood for "enacting inclusive behaviors on teams," Rambo-Hernandez et al. (2019) detailfive activities focused on equity in first-year engineering classes (across the span of a semester).These interventions focused on providing students with information about concepts like implicitbias or diversity in the engineering workforce and then subsequently having them complete someform of self-reflection assignment or group activity. Students were then measured four timesacross the semester using the ‘Valuing Diversity and Enacting Inclusion in Engineering Scale’(Rambo-Hernandez 2017). Their study found that the interventions were influential in students'likelihood to promote a
design, development, and facilitation, and offers future recommendations forimprovements.IntroductionEngineering educators often combine emerging new technologies with creative teaching andlearning strategies [1]-[3]. To usher the planet into the next century, the National Academy ofEngineering (NAE) identified fourteen grand challenges that must be tackled to ensure thecontinuation of life by making our world more sustainable, secure, healthy and joyful (Table I).The Grand Challenges Scholars Program (GCSP) was established and endorsed in 2008 by theNAE. Table I The NAE’s Twenty-First Century Grand Challenges for Engineering Make Solar Energy Economical Prevent Nuclear