Paper ID #10812Students Pursuing Senior Projects Analyze the Public Need and Draft thePublic PolicyDr. Murray Teitell, DeVry University, Long Beach Murray Teitell is a Professor at DeVry University, Long Beach, California. He teaches courses in mathe- matics, science and technology. His research interests are algorithms, solutions of equations and statistics as they relate to education, engineering and design.Mr. William S. Sullivan, DeVry University, Long Beach Page 24.1131.1 c
[12, 13, 14]. In their interviews and observations of civil andstructural engineers, Kent and Noss [13] found that, while they anticipated engineers wouldexplicitly reference complex mathematical practices, many engineers indicated that they rarelyused the advanced mathematics learned during their formal education. Instead, they relied oncomputational tools to handle complex calculations in engineering design. Kent et al. [15] latercharacterized this phenomenon as techno-mathematical literacy (TmL), a concept thatencompasses mathematical, information technology (IT), and workplace-specific competenciesneeded to interpret abstract information and make informed decisions. TmL suggests that usingmathematics in engineering is more about
, Tufts University ©American Society for Engineering Education, 2025 CAREER: An Integrated Framework for Examining Contextual Influences on Faculty Pedagogical Decision Making and Student Learning in Design EducationIntroductionRecently, the ways that emerging technologies, such as generative AI, social media algorithms,and predictive analytics, reflect, propagate, and exacerbate systems of inequality has made theimpact of engineering decisions on people and society an issue of national importance [1-2]. As aresult, scholars have called on engineering educators to facilitate learning experiences thatchallenge engineering as a technocentric discipline towards pedagogical practices that fosterstudents
, whereas others would be expected to have considerable digital influence.The competencies of resilience and motivation are largely expected to be internal to the students,whereas information gathering structures in the 21st century would be expected to be digital innature.Furthermore, the primarily on-campus context of Aalborg University will affect the way inwhich students approach their interpersonal competencies. While all students in the cohort haveexperienced emergency remote instruction during COVID, learning has returned to the on-campus mode. This means that students have had the opportunity to develop these competenciesin their studies, but that these may no longer be front of mind at the point where they developtheir competency
-toolkit.org), an open-access resource to support the transformation of engineering education in African universities to solve local and global challenges. Taylor received her Ph.D. in Engineering Education, MPH in Public Health Education, and MS and BS in Mechanical Engineering from Virginia Tech. ©American Society for Engineering Education, 2025 Work in Progress: Exploring the Impact of a Pre-Capstone Health Equity Design Sprint on Students’ Conceptions of Health EquityBackground: Amidst a troubling increase in health disparities in the U.S. and globally [1], healthtechnologies are under heightened scrutiny for their impact on health outcomes. Numerousexamples exist [2,3,4,5] of medical technologies
. Introduction and Brief Literature ReviewThe problem-solving process holds significant importance for Science, Technology,Engineering, and Mathematics (STEM) education. Studies indicate that numerous STEMgraduates exhibit noticeable challenges in their problem-solving abilities. These challengesare caused partially by cognitive processing [1] and motivational regulation [2] duringproblem-solving tasks. Our preliminary findings indicate that reviewing solutions aftercompleting problem-solving tasks had a minimal impact on enhancing students’understanding, particularly when tackling challenging problems [3]. To become effectiveproblem-solvers, students must grasp the connection between task characteristics and theprocessing demands required during
succeed and “need to begrown via in-house training or experience” [Adcock et al., 2015]. For example, NASA developedthe Systems Engineering Leadership Development Program (SELDP) to provide “developmentactivities, training, and education” to more quickly cultivate systems engineers [Ryschkewitch etal., 2009].Universities have responded to the growing market demand for systems engineers in a range ofways, from adding or further emphasizing elements of systems engineering to existing courses(e.g., capstone design courses; see Chaput [2016]), to creating entire programs in systemsengineering (e.g., Stevens Institute of Technology). How effective are these efforts, how can theybe improved, and, can we identify a set of best practices in doing such
succeed and “need to begrown via in-house training or experience” [Adcock et al., 2015]. For example, NASA developedthe Systems Engineering Leadership Development Program (SELDP) to provide “developmentactivities, training, and education” to more quickly cultivate systems engineers [Ryschkewitch etal., 2009].Universities have responded to the growing market demand for systems engineers in a range ofways, from adding or further emphasizing elements of systems engineering to existing courses(e.g., capstone design courses; see Chaput [2016]), to creating entire programs in systemsengineering (e.g., Stevens Institute of Technology). How effective are these efforts, how can theybe improved, and, can we identify a set of best practices in doing such
Engineering Department. She is a recipient of the Excellence in Mentoring Award and the Outstanding Teacher of First-Year Students Award. Her research interests include service learning and work that informs and enhances the teaching of first-year students.Anne E. Shea, Northeastern UniversityChristiane Amstutz ©American Society for Engineering Education, 2023 Success Framework for a STEAM x S-L Partnership (Evaluation)AbstractIt is widely recognized that there is a need for a diverse workforce of STEM (science,technology, engineering, and mathematics) professionals, leaders, and innovators to co-createsuccessful solutions for global problems. The inclusion of art into STEM activities (makingSTEAM the
, Uniqueness, Dimensionality, Directionality, Consolidation, Segmentation, Modification, Similarity and Experimentation. The material in the course will be complemented with activities from the “Projects”, “Competitions”,and “Challenges” modules. The second course is a multi-disciplinary class titled: Innovative Design in Practice. This courseconsists of project-based learning in subjects related to information technologies (IT). The project aims atlearning the development of an innovative data system for an existing real-life application. Participantswill learn and apply necessary basic programming skills/knowledge to explore and implement innovativesolutions. A typical process of developing an information system, often called the
points 5 points The article is a pleasure to read as well as informative. Needs Multimodal (images, video, drawings) communicate the major writers’ thoughts and provoke interest. The story about revisions. implementing algal biofuel technology in the assigned Multimodal 15 points feels authentic. community 10 points 5 points Story-telling The need or problem addressed in your article is Needs effectively communicated through careful selection and major placement of multimodal elements. The narrative uses
programs, where she coordinated student courses as well as parent information sessions. Her research interests include students' perceptions of their learning experience as and how to promote students' learning who show giftedness in the Engineering and Technology areas. Page 15.423.1© American Society for Engineering Education, 2010 Development of Parents’ Engineering Awareness Survey (PEAS) According to the Knowledge, Attitudes, and Behavior FrameworkAbstractWith increased interest in promoting engineering as a field of study and career pathway to bothcollege and pre-college student, it is important to
reflective process.Much of what we discuss here will appear familiar, but the restructuring is new and should beeffective in design education. We reference popular design texts to help highlight thedistinctiveness of our approach. Other new ideas presented in this paper include the triggerconcept, design characterization, design validation, and managing risk through Design for NOTX. FEED is also a venue for innovative design. Users, and lead users in particular, can providemany ideas for new products both of needs and technologies. The use of Design for X and Fall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2020, Villanova UniversityNOTX expands the imagination with respect to possible venues, uses, and risks of the type ofproduct being
Paper ID #37227Why a PhD? An exercise with LEGO®. Using novel communication tools toexpress multilevel complex messagesProf. Carmen Torres-Sanchez CEng MEng PhD PGCert FHEA MIMechE, Loughborough University Carmen Torres-Sanchez is a Professor of Multifunctional Materials Manufacturing at Loughborough Uni- versity, England, United Kingdom, and the Executive Director of the Centre of Doctoral Training in Em- bedded Intelligence (CDT-EI). She is the architect of the novel Doctoral Transition Zone(TM) Training ethos. She has been working in industry-informed, academically-led education for more than 15 years. Her research
Outstanding Mentor Award.Dr. Deborah M. Grzybowski, The Ohio State University Dr. Deborah M. Grzybowski is Asst. Dean of Teaching and Learning and Professor of Practice in the College of Engineering at The Ohio State University. She has been involved with developing and assessing curriculum for nearly 20 years. Her research focuses on making engineering accessible to all.Dr. Bryant Hutson, University of North Carolina at Chapel HillDr. Megan Morin, University of North Carolina at Chapel Hill Megan Morin (she/her) graduated from the University of Dayton with a bachelor’s degree in Middle Childhood Education and completed her Master’s and Ph.D. at NC State in Engineering and Technology Education. Megan’s research interests in
/resource/resmgr/Voice/csta_voice_03_2016.pdf[5] Wing, J. M. (2006, March). Computational thinking. Communications of the ACM, 49(3), 33–35.[6] Wing, J. (2011). Research notebook: Computational thinking—What and why? The LinkMagazine, Spring. Carnegie Mellon University, Pittsburgh. Retrieved fromhttp://link.cs.cmu.edu/article.php?a=600[7] Rich, K.M., Yadav, A. and Larimore, R.A., 2020. Teacher implementation profiles forintegrating computational thinking into elementary mathematics and scienceinstruction. Education and Information Technologies, 25(4), pp.3161-3188.[8]Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. NY: Basic Books.[9]Bundy, A. (2007). Computational thinking is pervasive. Journal of
private sector consulting appointments working with government agencies and private land developers to promote balanced transportation/land use con- nections. He has participated in transportation projects throughout the U.S., Europe and sub-Saharan Africa. He is a charter member of the American Society of Civil Engineers’ Transportation and Devel- opment Institute (T&DI) and chair of its Public Transportation committee. Steven is an active member of the Transportation Research Board where he recently served on its standing committee on Technol- ogy Transfer. Steven is currently the Technology Transfer Director for the USDOT-funded Southeastern Transportation Center and serves on the editorial board of its Journal
highly valuedby the students. They all recognized it as a benefit for the software development process. Itwas also noticed that the activities proposed were good triggers for the self-regulated learningof the expected course content, both SE and HCI. The authors are interested in receivingfeedback about the continuity of this work, particularly in the understanding of how thecontent of HCI interacts with a proposal based on project-based learning (PBL).1. IntroductionCurrently, universities are being asked to train professionals, who are capable of acting in achanging world with new emerging problems. A scenario of these characteristics requires atype of training, in which creative and innovative processes, teamwork skills, tolerance tofailure
the underrepresentation of women and minorities in engineering fields, significantattention has been focused on understanding how and why individuals develop an engineeringidentity. Interest in science, technology, engineering, and mathematics (STEM) begins as earlyas elementary and middle school [1-4]. As youth enter adolescence, they begin to shape theirpersonal identities and start making decisions about who they are and could be in the future.Children as young as elementary school have already formed career aspirations and interestsrelated to STEM [5-6], with such decisions appearing long before having to choose courseworkin high school or college. However, engineering identity formation is an emerging field, andmuch of the research to
Paper ID #9437A Platform for Computer Engineering EducationDr. Sohum A Sohoni, Arizona State University, Polytechnic campus Dr. Sohoni is an Assistant Professor in Engineering and Computing Systems at Arizona State University’s College of Technology and Innovation. Prior to joining ASU, he was an Assistant Professor at Oklahoma State University. His research interests are broadly in the areas of computer architecture and perfor- mance analysis, and in engineering and computing education. He has published in ACM SIGMETRICS, IEEE Transactions on Computers, the International Journal of Engineering Education, and Advances in
). The lack ofestablished educational materials specifically designed to repair important misconceptions in the coredisciplines of engineering is arguably the predominant missing piece. This work seeks to help addressthat gap by developing inquiry-based activities to address four targeted student misconceptions in the areaof heat transfer. The paper begins by providing background information on conceptual change models andmethods, illustrating both that misconceptions can be resistant to change while also identifyinginstructional approaches that have demonstrated success in other contexts. This is followed by adiscussion of the research methodology, including a description of the sample demographics. Finally,results on the effectiveness
Paper ID #44356Effective Strategies for New Faculty from the Perspective of an AssistantProfessor in the Early-Career StageDr. Yuzhang Zang, Western Washington University Yuzhang Zang is currently an assistant professor in the department of Engineering and Design at Western Washington University since Fall 2022. She was a visiting assistant professor at Valparaiso University from Aug 2021 to May 2022. Yuzhang received her Bachelor of Engineering (B. Eng.) in Electromagnetic Field & Wireless Technology Harbin Institute of Technology (HIT) in 2014, Master of Science (M.Sc.) in Electrical and Computer Engineering at
begins by providing background information on conceptual change models andmethods, illustrating both that misconceptions can be resistant to change while also identifyinginstructional approaches that have demonstrated success in other contexts. This is followed by adiscussion of the research methodology, including a description of the sample demographics. Finally,results on the effectiveness of the developed inquiry-based activities for enhancing student learning arepresented, along with a brief discussion of future work. Page 22.1510.2Background:Conceptual Change Models and Methods It is important to differentiate situations
. Page 24.963.1 c American Society for Engineering Education, 2014 Organ-izing the curriculum with hands-on, biomedically- related learning modulesABSTRACT The relatively new discipline of biomedical engineering emerged from informal collaborations be-tween engineers, physicians and life scientists, and is the fastest growing engineering discipline at mostuniversities. Chemical, mechanical, and electrical engineers play an important and expanding role in thisburgeoning field because the fundamental core principles of each discipline are critical to biomedicalmainstays such as the design of artificial organs. This project introduces hands-on, biomedically
originate from various sources,such as prior knowledge, personal experiences, teaching methods, textbooks or educationalmaterials, and cultural differences. Students who enter a class with knowledge based on theirprevious experiences or education, or preconceptions, can overcome their misconceptions bystandard instruction [4]. For example, a student might think that temperature determines how“cool” or “warm” a body feels, a common misconception rooted in everyday observations ratherthan scientific principles [5]. In other cases, the way information is presented can lead tomisunderstandings. If a professor oversimplifies a concept or uses ambiguous language, studentscan develop incorrect interpretations or connections between concepts. Meltzer [6
wellbeing and equity, diversity and inclusion (EDI) issues in engineering education andthe broader engineering profession. ©American Society for Engineering Education, 2024 Methodologies for evaluating the impact of STEM outreach on historically marginalized groups in engineering: a systematic literature reviewIntroduction and BackgroundAs a form of informal science learning [1], STEM (Science, Technology, Engineering, andMathematics) outreach activities involve the delivery of “STEM content outside of thetraditional student/teacher relationship to STEM stakeholders (students, parents, teachers…) inorder to support and increase the understanding, awareness, and interest in STEM disciplines”[2]. In the K-12 out-of-school
design, Martinez et al. [4] found no significant differencesin students’ attitudes about environmental ethics after an environmental science course; Dexteret al. [5] found no significant difference after a computer/information technology ethics course.And, in 2015, using the Engineering Professional Responsibility Assessment tool in a surveyconducted at seventeen US universities, Canney et al. [6] found that 44 percent of students(n=2200) reported no specific courses in their undergraduate engineering programs influencedtheir ways of thinking about social justice and engineering. Moreover, students reported designwork, projects, and service learning were effective, while pedagogical techniques such as casestudies were not cited at all as
messages that theyperceive in the behavior of industry professionals 2,12. Beyond such glimpses, we have very littledata about our engineering writing students’ values that inform their learning motivations,positive or negative.Given a better understanding of our students’ learning motivation values surrounding writing, wemight find new inspiration to seek effective strategies toward motivating our students to learnand succeed in their writing classes and their future lives as collaborative, communicativeprofessionals. Toward this better foundational understanding, this work seeks to explore thefollowing questions: 1. What are the task value-based learning motivations of students surrounding their engineering writing classes? Are
destinationfactors, and specifics of the host institution [8]. In this study, the theoretical framework was usedas a lens for analysis with both a priori and emergent codes. The a priori pull codes are listed anddefined below.Pull categories: ● Knowledge of the institution-Students are making their decision based on the specific institution at which they will study. These factors often include variables such as easily accessible information about the institution that is also presented in ways of interest to the student. ● Environment-The environment in which students are studying includes factors such as the local climate, available tourist attractions, and general lifestyle factors that differ depending on students' interests, such
course instructors, become members of the community of practice that is academia. This studywas guided by the following research questions: 1) What socialization experiences do doctoralengineering TAs report going through as a result of working as course instructors? 2) Whatrecommendations to improve the TA experience emerge from this study?Data were collected in the form of interviews (individual and focus group, with participants fromtwo schools of engineering at a Midwestern university). These data sources were analyzed andtriangulated to find recurring themes. Results indicated several categories of socializationexperiences, as characterized by the three TAs. Implications from the study suggest the need fora progressive TA model, in which