. Further, as found by Vincenti, they describe the messiness of theseoften uncertain and distinctive work environments. Their methodology was to observe engineersat work in three firms, ask them a few questions about their work at the end of theseobservations, and gather artifacts from their work processes. They then went through and codedthese observations according to the type of knowledge employed. These types of knowledgeincluded technical, social, visual (which is largely understanding constraints and determininghow to present information), and financial. The 2005 work of Kaija Collin reviews the learning of design engineers in their
1 The Effectiveness of Service-Learning Based Projects in Improving the Understanding of the Design Process and the Self-Efficacy of Students in Engineering Terrell R. Bennett, PhD and Andrea Turcatti The Erik Jonsson School of Engineering and Computer Science The University of Texas at DallasAbstractEngineering Projects in Community Service (EPICS) is an innovative service-learning programthat blends community service, undergraduate education, and engineering design by pairing teamsof undergraduate students with non-profit organizations to collaboratively address human,community
Paper ID #31005Developing best practices for teaching scientific documentation: Towarda better understand of how lab notebooks contribute toknowledge-building in engineering design and experimentation.Dr. Rick Evans, Cornell University Sociolinguist and Director of the Engineering Communications Program in the College of Engineering at Cornell UniversityProf. Jeffrey Moses, Cornell University Since 2014, an Assistant Prof. in the School of Applied & Engineering Physics, College of Engineering, Cornell University.Dr. Traci M. Nathans-Kelly, Cornell University Traci Nathans-Kelly, Ph.D., currently teaches full-time at
AC 2012-5348: CLASSROOM GAMES AND ACTIVITIES THAT MOTI-VATE EXPLORATION OF FOUNDATIONAL UNDERSTANDINGS OF MATH-EMATICS CONCEPTS WHILE INADVERTENTLY SCAFFOLDING COM-PUTATIONAL THINKING AND ENGINEERED DESIGNMrs. Sharie Kranz, Coronado High SchoolCatherine Tabor, El Paso ISD Catherine Tabor holds bachelor’s degrees in mathematics and physics, and a master’s degree in physics education. She is a mathematics educator in El Paso, Texas.Dr. Art Duval, University of Texas, El Paso Art Duval is a professor of mathematical sciences at the University of Texas, El Paso.Dr. Kien H. Lim, University of Texas, El Paso Kien H. Lim is a mathematics educator at UTEP. His research interests are on students’ problem-solving disposition
a frequent presenter and publisher on internationalization, strategic planning, globally focused academics, and Collaborative Online International Learning (COIL). Carrie is a 2019 Fulbright recipient and holds an Ed.D. in the Design of Learning Environments from Rutgers University.James Tippey, Excelsior College ©American Society for Engineering Education, 2025 Technology and Society Incorporating ethics, inclusive belonging for excellence, and societal understanding into computer and technology and engineering education curriculum design(2025). CoNECD Conference, February 9-11, 2025, San Antonio, TX Session Outline
355 Understanding the Correlation Between Goal Orientation and Self-Efficacy for Learning and Performance in an Engineering Design Activity in Grades 9-12 Oenardi Lawanto Department of Engineering and Technology Education Utah State UniversityAbstractThis study was conducted to evaluate the relationship between students’ goal orientation andself-efficacy for learning and performance while engaged in an engineering design activity ingrades 9-12. Goal orientation includes students’ intrinsic (IGO) and extrinsic (EGO
Paper ID #24955Engineering Time: Learning Analytics Initiative to Understand how First-year Engineering Students Spend their TimeDr. Cory Brozina, Youngstown State University Dr. Cory Brozina is an assistant professor and the Director of First Year Engineering at Youngstown State University. He completed his B.S. and M.S. in Industrial & Systems Engineering from Virginia Tech, and his PhD is in Engineering Education, also from Virginia Tech. His research interests include: Learning Analytics, First-Year Engineering and Assessment.Dr. Aditya Johri, George Mason University Aditya Johri is Associate Professor in the
Engineering Plus program, which is in the process of being renamed to Integrated Design Engineering. Bielefeldt also serves as the co-director for the Engineering Education and AI-Augmented Learning Integrated Research Theme (IRT) at CU. She has been a faculty member at CU since 1996, serving in various roles including Faculty Director of the Sustainable By Design Residential Academic Program (2014-2017), Director of the Environmental Engineering program (2006-2010), and ABET Assessment Coordinator for the CEAE Department (2008-2018). Bielefeldt is active in the American Society of Civil Engineers (ASCE), serving on the Civil Engineering Program Criteria Task Committee (2019-2022) and the Body of Knowledge 3 Task Committee
Paper ID #25414Do I Think I’m an Engineer? Understanding the Impact of Engineering Iden-tity on RetentionDr. Bryce E. Hughes, Montana State University Bryce E. Hughes is an Assistant Professor in Adult and Higher Education at Montana State University, and holds a Ph.D. in Higher Education and Organizational Change from the University of California, Los Angeles, as well as an M.A. in Student Development Administration from Seattle University and a B.S. in General Engineering from Gonzaga University. His research interests include teaching and learning in engineering, STEM education policy, and diversity and equity in
student’sconcept maps more effectively and accurately.In essence, every problem an engineer faces has structure; that structure ranges from very tight(where there are few options to solve the problem) to very loose (where there are many optionsto solve the problem). An engineer’s preference for structure (i.e., his/her cognitive style) willaffect his/her comfort level in solving a particular problem, in addition to the way he/shecommunicates the details of that problem. Since concept mapping can be used to graphicallycommunicate an individual’s understanding of a problem, knowing whether (and how) aperson’s cognitive style affects the way a problem is mapped will be useful information.To test our premise, we designed and performed a detailed experiment to
Paper ID #30719An Analysis of Students’ Brain Activity when Participating in DifferentLearning ActivitiesMiss Xinyue (Crystal) Liu, University of Toronto Crystal Liu is a graduate student at the University of Toronto in the department of Materials Science and Engineering. Her research focuses on engineering design and education. She obtained her BASc in Mechanical Engineering at the University of Toronto in 2019. She has worked in product development and is interested in application of technology and design in engineering education research.Dr. Yasaman Delaviz, York University Yasaman Delaviz is an Educational/Curricular
Education in 2016. She is a facilitator in the College Development Educators Program for new faculty at the six colleges in South-western Ontario, and contributes regularly to engineering education initiatives in Canada.Dr. Robert William Brennan, University of Calgary Robert W. Brennan has been actively involved in a wide range of national and international design ed- ucation initiatives over the past 12 years. He has served on the Canadian Design Engineering Network (CDEN) steering committee, chaired the organizing committee for the second CDEN conference (2004), chaired the Schulich School of Engineering’s first Engineering Education Summit (2007), served as an or- ganizing committee member for the CIRP International
using Grounded Theory.Our preliminary findings help us to have an understanding of how mentoring takes place contextually in ourinstitution and how it relates to existing theoretical frameworks. In addition, our participatory methods may helpother institutions in seeing students, faculty, and academic advisors as partners, and in deploying participatorymethods to create engaging programs in different areas of academic life.Keywords: participatory design, intervention, mentoring, engagement, undergraduate engineering educationIntroduction and Theoretical FrameworkIn STEM careers like engineering, many groups, such as first-generation students, ethnic minorities, low-incomestudents, and women often have inadequate representation [1], [2], [3
/. Page 25.232.1 c American Society for Engineering Education, 2012 Assessment of Student’s Confidence of Learned KnowledgeAbstractAn important skill for students is to recognize how well they actually know the answers to real-world questions. Students may get the right answers on quiz questions, but may not be sure oftheir answers and may get similar questions wrong. Confidence in one’s answer or design is nottypically important during undergraduate schooling, but is vital in a job and in graduateeducation where the confidence students have in their solutions is nearly as important as thesolutions themselves. The method described here uses the concept of self-efficacy to helpstudents learn by making them
AC 2012-3179: EFFECT OF CLASS ABSENTEEISM ON GRADE PER-FORMANCE: A PROBABILISTIC NEURAL NET (PNN)-BASED GA-TRAINEDMODELDr. Mohammed E. Haque P.E., Texas A&M University Mohammed E. Haque, Ph.D., P.E., is a professor of construction science at Texas A&M University at College Station, Texas. He has more than 20 years of professional engineering experience in analysis, design, and investigation of building, bridges, and tunnel structural projects for various city and state governments as well as private sector. Haque is a registered Professional Engineer in the states of New York, Pennsylvania, and Michigan, and a member of ASEE, ASCE, and ACI. Haque received a B.S.C.E. from Bangladesh University of Engineering
hashtags tweet represented current threats [27]. A thorough small-scale review of researchstudy was presented on networked learning in teacher communities for continuous professionaldevelopment (CPD) by using virtual learning environment (VLE) [28]. “National Engineering 2Week” was monitored using Twitter data to understand the engineering community engagement[29].Despite the growing need to harness large scale online social interactions to enhance peer influencein STEM learning and the emerging advancements in network science, the empirical literature isinconclusive how social media can serve as a social and catalytic learning and information sharinggateway for STEM students and professionals
new theoretical frameworks. There should be a focus in engagingcross-disciplinary stakeholders in the research process.IntroductionEngineering education places a growing emphasis on design and capstone-based projectsfounded in a students’ ability to effectively seek, understand, and apply information.Engineering students are required to create, problem solve, and improve, usingengineering principles to develop their skills in technical, environmental, socioeconomicand political aspects of the engineering design process. Engineering students areincreasingly not taking a traditional scientific approach to research, mirroringprofessional engineers and scientists [1]. Henry Petroski stated that “Science is aboutknowing, engineering is about doing
result in students initiating new or revised mental models of problems that have not beenutilized previously, and certainly that students can show a relatively strong understanding in onecontext and not the other. These student shifts in understanding based on context also beg thequestion of what contexts are important for preparation for the engineering workplace. There isnot time or resources to cover all contexts, so work must be done to align learning andengineering design contexts.Future research is needed to determine the importance of these and other contexts and theirrelation to students’ understandings. This work could initially be quite complicated consideringthe range of possible contexts discussed above, and the potential for
group to work on a grant to support change effortsin the department and the college.The future of higher education needs to be considered by everyone in the classroom includingstudents, TAs, and instructors. This study will help us understand, in this particular context, whatsupports our students and how we can design better courses in the middle years of the engineeringdegree.AcknowledgementsWe appreciate the support from our collaborators, Rani El-Hajjar and Clayton Cloutier, at UWMDepartment of Civil & Environmental Engineering. We are grateful for the students whoparticipate in this study and for the faculty, instructors, and teaching assistants who support datacollection efforts.References[1] C. Mischel, L. Wedgewood, B. Bilgin, J
) theresponsibility to communicate complex technical information to non-technical audiences in away that they can understand, and not to use the technical language to their advantage. Anexample of the later is a response given by Corvin: “In terms of interactions, a lot of people become engineers because they like the math and science, and they may not be necessarily the best writers or the best communicators. You still have to understand that as an engineer you’re going to have to communicate what you’re doing with other people who are non-engineers. It’s not practical to throw a bunch of extremely technical designs and words at people who don’t understand them.”Impact. Many described a need to have an awareness of the “impact
Department at the University of California, Riverside. Page 25.478.1 c American Society for Engineering Education, 2012 Does Neatness Count? What the Organization of Student Work Says About UnderstandingAbstractStudents have long been taught that neatness counts. But does it? In this project, we seek tounderstand how the organization of a student’s solution to a problem relates to the correctness ofthe work. Understanding this relationship will enable us to create software to provide earlywarnings to students who may be struggling in a course. In this study, students in
met their peers, figured out study groups, and engineering work teams. As the semestercontinued and the workload increased, students became increasingly isolated and reliant on theirassigned team members. This result mirrors our previous findings from the case study at theMidwest institution where Ezekiel and his team focused on their engineering project rather thanfostering social interaction. Finally, late-stage expansion in the social network may result fromstudents seeking additional support and assistance to finalize their semester-long design project.Interviews with students from both institutions corroborate this interpretation of the socialnetworks describes above.To better understand the relationship between the social structure and
the steps of a worked-out example or the rationale behind the students’ own solutions toa problem. These self-explanations serve a metacognitive purpose, allowing students toevaluate and monitor their own understanding of concepts and enabling them to guide theirown learning process. We show here, as numerous other studies have demonstrated, thatself-explanation positively impacts student performance. Additionally, we demonstrate, forthe first time, the positive impact self-explanation has on a student’s solution process.We have conducted a large-scale study in which over 120 students from an undergraduatemechanical engineering course in statics were given LiveScribeTM digital pens. These pensserve the same function as a traditional ink pen
multidisciplinary studies including computational & engineering thinking, language massive open online course (L-MOOC), educational technology, on- line learning, and designing online STEM courses. In addition, in 2017, she became the first and only individual to obtain the Diplˆome de Franc¸ais Professionnel from the Chamber of Commerce of Paris Professional French at Texas Tech University. Moreover, she was awarded as the Paul Whitfield Horn Fellow and Helen DeVitt Jones Fellow at Texas Tech University. She is interested expanding her re- search interests and teaching practices in a higher education research institution and can be reached at cristina.diordieva@ttu.edu.Dr. Ibrahim H. Yeter, Purdue University at West
Paper ID #32415The Use of Parametric Modeling to Enhance the Understanding of ConcreteFormwork StructuresDr. Sanjeev Adhikari, Kennesaw State University Dr. Sanjeev Adhikari is faculty from Kennesaw State University. Previously he was faculty at Morehead State University from 2009 to 2016 and faculty at Purdue University – Indianapolis from 2016 to 2019. He has completed Ph.D. degree in civil engineering, focusing on construction management from Michigan Technological University in 2008. He has an extensive teaching background with a total of 18 years academic experience at five different universities. He has always been
Paper ID #37212Integration of VHDL Simulations and Written Reflections to ImproveStudent Understanding of Sequential Logic CircuitsBen Arie Tanay, Purdue Engineering EducationDr. Renee M. Clark, University of Pittsburgh Renee Clark serves as the Director of Assessment for the Swanson School of Engineering at the University of Pittsburgh. She received her PhD from the Department of Industrial Engineering, where she also completed her post-doctoral studies. Her research has primarily focused on the application of data analysis techniques to engineering education research studies as well as industrial accidents. She has over 20
] Polya, G. How to solve it. Garden City, NY: Doubleday, 1957.[4] Newell, A., and Simon, H. A., Human Problem Solving, Englewood Cliffs, NJ: Prentice-Hall,1972.[5] Jonassen, D. H. Learning to solve problems: An instructional design guide. Vol. 6. John Wiley & Sons, 2004.[6] Jonassen, D., J. Strobel, and C. B. Lee. "Everyday problem solving in engineering: Lessons for engineering educators." Journal of engineering education 95, no. 2 (2006): 139-151.[7] Wankat, P.C., and Oreovicz, F.S., Teaching Engineering, New York, NY: McGraw-Hill, 1993.[8] Litzinger, T., P. Van Meter, M. Wright, and J. Kulikowich, “A Cognitive Study of Modeling During Problem Solving,” Proceedings of the American Society for Engineering Education Annual
Paper ID #45510AI-Human Transference Learning and Assessment: Optimizing KnowledgeTransfer and Understanding through AI-Generated ContextualizationDr. Razvan Cristian Voicu, Robotics and Mechatronics Engineering, Kennesaw State University, Marietta,GA Dr. Razvan Cristian Voicu is a faculty member in the Department of Robotics and Mechatronics Engineering at Kennesaw State University. His research interests include artificial intelligence, robotics, and the development of AI-driven systems for knowledge transfer and adaptive learning. Dr. Voicu is dedicated to exploring innovative applications of AI to enhance learning and problem
AC 2011-2330: USING POSITIVE INTERDEPENDENCE AND MULTI-MODAL ASSIGNMENTS TO ENHANCE STUDENT UNDERSTANDINGOF CIVIL ENGINEERING SOFT SKILLSSean St.Clair, Oregon Institute of Technology Sean St.Clair is an associate professor and department chair in the Civil Engineering Department at Ore- gon Institute of Technology where he teaches structural engineering courses and conducts research in engineering education. Dr. St.Clair is also a registered professional engineer in Oregon and consults in the areas of timber and light gauge steel design and construction.Charles E. Riley, Oregon Institute of TechnologyProf. David K. Thaemert P.E., Oregon Institute of TechnologyDr. Roger Lindgren P.E., Oregon Institute of Technology
AC 2011-1335: STUDENTS AND SUSTAINABILITY: ASSESSING STU-DENTS’ UNDERSTANDING OF SUSTAINABILITY FROM SERVICE LEARN-ING EXPERIENCESJonathan Wiggins, University of Colorado, BoulderMary E McCormick, Tufts University Civil and Environmental Engineering Ph.D. studentAngela R Bielefeldt, University of Colorado, Boulder Angela Bielefeldt, PhD, PE, is an Associate Professor in the Department of Civil, Environmental, and Architectural Engineering at the University of Colorado at Boulder (CU). She served as the Director of the Environmental Engineering Program at CU for four years. She has taught the first-year Introduction to Environmental Engineering and senior capstone Environmental Engineering Design courses for a number