.[3] “Makerspace course list,” BeAM Makerspace Network, 2021. [Online]. Available:https://beam.unc.edu/makerspace-course-list/. [Accessed: 14-Feb-2022].[4] Y. Murai et al, “Facilitating online distributed critical making: lessons learned,” in Proc. of the FabLearnEurope / MakeEd 2021: An international conference on computing, design, and making in education, 2-3 June2021, St. Gallen, Switzerland. [Online]. Available: https://dl.acm.org/doi/pdf/10.1145/3466725.3466759.[5] M. Kinnula, I. Sánchez Milara, B. Norouzi, S. Sharma, and N. Iivari, “The show must go on! Strategies formaking and makerspaces during pandemic,” International Journal of Child-Computer Interaction, vol. 29, 100303,2021, DOI: https://doi.org/10.1016/j.ijcci.2021.100303.[6] K
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challenges that mostengineers encounter in their professional careers.Bibliography[1] K. Topping, “Peer Assessment Between Students in Colleges and Universities,” Review of Educational Research, vol. 68. pp. 249–276, 1998.[2] K. Cho, C. D. Schunn, and R. W. Wilson, “Validity and reliability of scaffolded peer assessment of writing from instructor and student perspectives.,” Journal of Educational Psychology, vol. 98. pp. 891–901, 2006.[3] N. Falchikov, “Peer Feedback Marking: Developing Peer Assessment,” Innovations in Education & Training International, vol. 32. pp. 175–187, 1995.[4] S. Pulford and A. C. Taylor, “Visual Communication Learning through Peer Design Critiques: Engineering Communication Across
/17415651211284011.[3] A. Godwin and A. Kirn, “Identity‐ based motivation: Connections between first‐year students’ engineering role identities and future‐time perspectives,” Journal of Engineering Education, vol. 109, no. 3, pp. 362–383, May 2020, doi: 10.1002/jee.20324.[4] B. D. Jones, C. Ruff, and M. C. Paretti, “The Impact of Engineering Identification and Stereotypes on Undergraduate Women’s Achievement and Persistence in Engineering,” Social Psychology of Education: An International Journal, vol. 16, no. 3, pp. 471–493, 2013, doi: 10.1007/s11218-013-9222-x.[5] Engineering Criteria 2000, Accreditation Board for Engineering and Technology, Baltimore (November, 1997)[6] L. Prendergast and E. Etkina, “Review
Automation) Power Industry Division Symposium (2011) and the Best Poster Paper Award in the 3rd IFAC International Conference on Intelligent Control and Automation Science (2013). He currently serves as an Associate Editor for Automatica and International Journal of Robust and Nonlinear Control. Dr. Qian is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).Sara Ahmed (Assistant Professor) Dr. Sara Ahmed is an Assistant Professor in the Electrical & Computer Engineering Department in the University of Texas at San Antonio. She received her Bachelor’s, Master’s and Ph.D. degrees all in Electrical Engineering with a Power Electronics concentration from Virginia Tech, Center for Power Electronics in
techniques, as well as interpretresults in basic professional forms and conventions and offer conclusions that are meaningful forboth a technical audience and as a demonstration of their own learning [1-3].The instructional modules presented in this paper build on research involving writing transferconcepts that address the transfer source (prior writing experience) and the transfer target (writingin a new situation, in this case an engineering laboratory). In this situation, the transfer can beconsidered “far transfer” because the writing skills in English and engineering disciplines containfew similar general features [4-5]. Effective transfer requires the use of shared language andeffective review of prior knowledge to form a basis for the
). 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 (2016-2018). She is the Senior Editor for the International Journal for Service Learning in Engineering (IJSLE) and a Deputy Editor for the ASCE Journal of Civil Engineering Education. Her research focuses on engineering education, including ethics, social responsibility, sustainable engineering, and community engagement. Bielefeldt is also a Fellow of the American Society for Engineering Education.Laura MacDonald Managing Director, Mortenson Center in Global EngineeringCarlo Salvinelli Dr. Salvinelli is a Teaching Assistant
Each (points) (points) (points) (points) (points) Item Professional, Peer-Reviewed & Communicated External Grants received 5 larger than $50,000 Published International Journal articles / Book 5 Chapters Published Articles; National or International 4 12 4 Conference Paper/Proceedings External grants received less than $50,000 but 4 more than $20,000 External grants received 3 6 6 less than $20,000 Research/poster presentations given at 3
environment. It discusses a wide variety ofmedical equipment used in hospitals and clinics. The course objectives are to introduce studentsto the fundamentals of medical equipment technology that enable them to work in the clinicalsettings, technically supporting wide variety of medical devices and to become familiar withtypical types of medical equipmentBET 302 Biomedical Electronics, 4 credit hours:This course introduces the fundamentals of analog electronics with an emphasis on biomedicalapplications. It discusses solid-state devices including diodes, transistors, operational amplifiers,oscillators, and mixers and their use in power supplies, amplifiers and active filters.BET 303 Medical Imaging Systems, 3 credit hours:This course explores the
diversity in engineering.Dr. Armando A. Rodriguez, Arizona State University Prior to joining the ASU faculty in 1990, Armando A. Rodriguez worked at MIT, IBM, AT&T Bell Labo- ratories, and Raytheon Missile Systems. He has also consulted for Eglin Air Force Base, Boeing Defense and Space Systems, Honeywell, and NASA. He has published more than 200 technical papers in refereed journals and conference proceedings. He has authored three engineering texts. Rodriguez has given more than 70 invited presentations–13 plenary–at international and national forums, conferences and corpora- tions. Since 1994, he has directed an extensive engineering mentoring-research program that has served more than 300 students. Rodriguez’s
support the United States inremaining a strong economic and global competitor [1-3]. However, through analysis of nationaldata sets, approximately only half of the students who enter a STEM major will graduate with aSTEM degree [4].Recent research examining the reasons why students leave STEM disciplines show that theytypically leave for non-technical reasons including poor teaching, curriculum overload, limitedadvising and support, or a rejection of the competitive culture in many STEM disciplines [7-10].In more recent years, studies have continued to document the same factors influencing attritionin STEM degrees as well as student’s lack of self-efficacy, failure of the material to capturestudent interest, overly competitive grade structures
simply discussinghow technical matters are conveyed, it becomes critical for engineering faculty to express to theircolleagues the various ways in which they use written and oral communication techniques in their Page 24.682.2courses and how those methods have provided a better learning experience for their students bothdomestic and international. There is also an equal responsibility for department chairpersons tofurther the dissemination of communication skill information to their department members.Individual faculty members should also think beyond the assignments that are given to students toissues that are raised in their own writing
over fifty years of cumulative psychological knowledge solidifies its importance. Journal of Educational Psychology, 101, 817- 835.12. Sorby, S. (2009). Educational Research in Developing 3-D Spatial Skills for Engineering Students. International Journal of Science Education. (31)3.13. Sorby, S. A. &Veurink, N. (2010). Are the visualization skills of first-year engineering students changing? Proceedings of the 117th ASEE Conference and Exposition.14. Martín-Gutiérrez, J., et al. (2009). Do video games improve spatial abilities of engineering students? International Journal of Engineering Education, 25, 1194-1204.15. McLaren, S.V. (2007). Exploring perceptions and attitudes towards teaching and learning manual technical
international conferences in the Engineering Education Research field. He is currently program co-chair and international program committee member for the annual International Conference on Remote Engineering and Virtual Instrumentation (REV) and served as a special session committee member for the Experiment@ International Conference Series (exp.at).Beshoy Morkos (Associate Professor) Beshoy Morkos is an associate professor in the College of Engineering at the University of Georgia where he directs MODE2L (Manufacturing Optimization, Design, and Engineering Education Lab) Group. His research group currently explores the areas of system design, manufacturing, and their respective education. His system design research focuses on
Associates during our biannual CivilEngineering Board of Advisors Meeting. The Board of Advisors is composed primarily ofpracticing civil and environmental engineers with substantial consulting, managing, and hiringexperience. These engineers are regionally located in IN, IL, MO and TN. We also soughtinsight from additional consulting engineers practicing in environmental engineering. Theseadditional consultants were from IN, GA and TX. Following internal review boardrequirements, informed consent was obtained from each participant prior to participation in thesurvey. The questions that were asked of the practicing engineers are summarized in Table 2.Questions 2, 3 and 4 used a Likert scale answer format with selection options from 1-5 with 1defined
and Inspire Non-STEM Majors” (Session T549) at the ASEE 2018 annual conference inSalt Lake City. The technological developments and innovations presented that might be used toovercome barriers to educating and inspiring non-STEM majors included: Massive open on-line courses (MOOCs) to dispense with the limitations of the traditional classroom. The proliferation of on-campus MakerSpaces that give access to 3-D printers, laser cutters, DIY electronics, and CAD / CAM and solid modeling design technology to all students and, in many cases, the public at-large. Flipped classrooms and Youtube that educate non majors and the interested public and promote technology and engineering in new ways.Prior to this
using automatic assessment (computer based assessments) using algorithms for test generation and LMS systems.Dr. Maria M. Larrondo-Petrie, Florida Atlantic University Dr. Larrondo Petrie has a Ph.D. in Computer Engineering and is a Professor and Associate Dean of In- ternational Affairs in the College of Engineering and Computer Science of Florida Atlantic University. She is the Executive Director of LACCEI (Latin American and Caribbean Consortium of Engineering Institutions) and served in the past as an officer of the International Division of ASEE (American Society of Engineering Institutions). She is Editor-in-Chief of the Latin American and Caribbean Journal of Engi- neering Education, forms part of the
staff for advanced equipment, and4) the globalization of labor. Thus, it is desirable for students to be trained for this Web-based jobsetting by providing relevant online engineering learning experiences, particularly laboratories. [3]TheoryPipe flow is classified as internal flow, where fluid is constrained by the walls of the pipe and flowis driven by a negative pressure gradient. The Reynolds number, ReD, predicts flow behavior undervarious conditions. It is a ratio between inertial and viscous forces, where the diameter, D, averagefluid velocity, Uavg, and kinematic velocity, 𝜈, are needed. 𝑈()* 𝐷 𝑅𝑒$ = … (1
. Conceptual Elements for Performance Assessment for Faculty and Student Learning. In Assessing Competence in Professional Performance across Disciplines and Professions, edited by Wimmers, P.F., and Mentkowski, M., 11–38. Innovation and Change in Professional Education 13. Springer International Publishing. doi:10.1007/978-3-319-30064- 1_2.Patil, P., Mulimani, D., Desai, B.L., 2015. Prominent Assessment of Students Learning and Statistical Analysis of Quizzes, in: Natarajan, R. (Ed.), Proceedings of the International Conference on Transformations in Engineering Education. Springer India, 567–568. doi:10.1007/978-81-322-1931-6_69.Tishkovskaya, S., Lancaster, G., 2012. Statistical education in the 21st century: a
): 31–58.36. Kivunja, Charles. 2014. “Do You Want Your Students to Be Job-Ready with 21st Century Skills? Change Pedagogies: A Pedagogical Paradigm Shift from Vygotskyian Social Constructivism to Critical Thinking, Problem Solving and Siemens’ Digital Connectivism.” International Journal of Higher Education 3(3): 81– 91. http://www.sciedu.ca/journal/index.php/ijhe/article/view/5156.37. Chompalov, Ivan Mihailov, and Lubomir Savov Popov. 2014. “Sociology of Science and the Turn to Social Constructivism.” Social Sciences 3(2): 59–66.38. Hinojosa, A. S. et al. 2016. “A Review of Cognitive Dissonance Theory in Management Research: Opportunities for Further Development.” Journal of Management XX(X): 1–30. http://jom.sagepub.com/cgi
actively engages in offering guidance in developing research studies, curriculum enhancements, and assessment methods pertaining to integration and cultivation of intercultural competence. Her expertise extends to facilitating workshops and training sessions, catering to the needs of both staff and students within Purdue University.Dr. Sakhi Aggrawal, Purdue University at West Lafayette (PPI) Dr. Sakhi Aggrawal is a lecturer and research scientist in Purdue University’s Department of Computer and Information Technology. Her work explores how project-management frameworks, teamwork dynamics, intercultural competencies and AI tools can enhance STEM and engineering education. She also serves as a technical program manager
research,including potential longitudinal studies and cross-cultural comparisons, which could furtherenhance our understanding of engineering self-concept and its development over time.References[1] J. Dirisina and R. L. Shehab, "Classifying Survey Items related to Engineering Self- Concept for Application in First-Year Engineering," in 2024 ASEE Annual Conference & Exposition, Portland, OR, 2024.[2] H. W. Marsh, "The Hierarchical Structure of Self-Concept and the Application of Hierarchical," Journal of Educational Measurement, pp. 17-39, 1987.[3] H. W. Marsh, "Verbal and Math Self-Concepts: An Internal/External Frame of Reference Model," American Educational Research Journal, vol. 23, no. 1, 1986.[4] J. Dirisina and R. L. Shehab
Engineering Education, and Advances in Engineering Education. His research is supported through various internal and external funding agencies including the National Science Foun- dation. He serves as the Chair of the Electrical and Computer Engineering Division in ASEE, and the Co-Editor-in-Chief of the Journal of Engineering Education Transformations. He is also the Associate Director of the Indo-Universal Collaboration for Engineering Education.Dr. Shawn S. Jordan, Arizona State University, Polytechnic campus SHAWN JORDAN, Ph.D. is an Associate Professor of engineering in the Ira A. Fulton Schools of En- gineering at Arizona State University. He teaches context-centered electrical engineering and embedded systems design
.International Technology and Engineering Educators Association (ITEEA). (2000/2002/2007). Standards for Technology Literacy. Available at http://www.iteaconnect.org/TAA/PDFs/xstnd.pdf. Accessed on 7/10/12.Ma, Jing and Nickerson, Jeffrey V. (2006). Hands-On, Simulated, and Remote Laboratories: A Comparative Literature Review. ACM Computing Surveys. 38(3), Article 7.MacMillan, Douglas. Switching To Green-Collar Jobs. BusinessWeek. (10 January 2008) Available at http://www.businessweek.com/stories/2008-01-10/switching-to- green-collar-jobsbusinessweek-business-news-stock-market-and-financial- advice. Accessed on 7/13/12. National Council of Teachers of Mathematics (NCTM). (2000). Principles
the outstanding paper of the American Society of Engineering Educators Engineering Design Graphics Division. Graph Etiquette: A Paradigm for Presenting Technical Data (Harris & Sadowski, 2003) was published in the juried international Visual Communications Journal. Harris received the Frank Oppenheimer Award for Outstanding Conference Presentation for the 55th Engineering Design Graphics Division of the American Society for Engineering Education Mid-Year Conference in San Antonio, Texas for her paper Saving and Viewing CAD Graphics on the Web (Harris & Sadowski, 2001), which was also published in the juried Engineering Graphics Design Journal. Dr. Harris
across an infinitesimal surface of area dAi. Heat102 energy rather than heat flux terms will be henceforth used because of simplicity, so equation (2) is not103 part of the derivation.104 dQ - dQ+105106107 Fig 2. The dQ- term for the infinitesimal point on the left becomes the dQ+ term for the point on the right. For simplicity, each108 term has been shown to act across one face only. In general the dQ- term would be comprised of fluxes from multiple faces, as109 per equation (2), and disperse as part of the dQ+ term for multiple points. When collected, the sum of both terms will still be zero,110 as shown by equation (3).111 Since dQ − is internal by
). Computational Literacy and “The Big Picture” Concerning Computers in Mathematics Education. Mathematical Thinking and Learning 20(1), 3-31.[8.] Erickson, T. (2002). Fifty Fathoms: Statistics demonstrations for deeper understanding. Oakland, CA: EEPS Media.[9.] Eyyam, R., & Yaratan, H. S. (2014). Impact of use of technology in mathematics lessons on student achievement and attitudes. Social Behavior and Personality: An international journal, 42, S31-S42.[10.] Franklin, C., Hartlaub, B., Peck, R., Scheaffer, R., Thiel, D., and Freier, K. T. 2011. AP statistics: Building bridges between high school and college statistics education. The American Statistician[11.] Friel, S. (2007). The research frontier: Where technology
investigate the influenceof demographic and scale factors on commitment to major, we formed regression equations foreach survey year. In 2015, perceptions of engineering, engineering self-efficacy and professorratings predicted commitment to major. Regression results differed significantly in 2008 and2015. Among other findings, while underrepresented minority and international status negativelyinfluenced commitment to major in 2008, neither underrepresented minority nor internationalstatus had a significant influence on commitment to major in our 2015 sample.Introduction The loss of students from engineering often represents lost economic opportunities forindividuals, families, and society and can be a loss for post-secondary institutions who
values engineering practice implicitly shares giveguidelines for technological development. According to Van de Poel [3], engineeringmaterializes two types of typical values through technology. On the one hand, engineering hasinternal values, such as technological enthusiasm, effectiveness, efficiency, reliability,robustness, maintainability, compatibility, and rationality, which bring the occupation’s currentstructure. On the other hand, engineering has external values, such as safety and health, humanwell-being, sustainability, justice and democracy, and inclusiveness, which are desirableconsequences of implementing the other.Currently, engineering’s internal values have prevailed inside the engineering practice andeducation, following a
, N., Nicolaides, A., Kyriacou, E., Kakas, A., & Pattichis, C. (2019, October). Integrating machine learning with symbolic reasoning to build an explainable AI model for stroke prediction. In 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 817-821). IEEE.3. Xu, Y., Shieh, C. H., van Esch, P., & Ling, I. L. (2020). AI customer service: Task complexity, problem-solving ability, and usage intention. Australasian marketing journal, 28(4), 189-199.4. Bengio, Y., & LeCun, Y. (2007). Scaling learning algorithms toward AI.5. Abiodun, O. I., Jantan, A., Omolara, A. E., Dada, K. V., Mohamed, N. A., & Arshad, H. (2018). State-of-the-art in artificial neural network applications