Paper ID #18146Developing a Pipeline for Students from Rural High Schools into Engineer-ing Technology and Mechatronics at a Two-Year College (NSF-ATE Projects)Dr. James E. Payne, Orangeburg-Calhoun Technical College Jim Payne has been with Orangeburg-Calhoun Technical College for ten years after retiring from South Carolina State University as Professor of Physics and Associate Vice President for Academic Affairs. He serves as STEM Program Developer for the College and as a Principal Investigator and project manager. He is currently managing the NSF-ATE RAMP project and a Nuclear Regulatory Commission (NRC) Scholars project
AC 2012-3436: CHALLENGES AND SUCCESSES OF CREATING A LIVING-BUILDING LABORATORY (BUILDING AS A LABORATORY) FOR USEIN THE ENGINEERING TECHNOLOGY CURRICULUMMr. Jason K. Durfee, Eastern Washington University Jason Durfee received his B.S. and M.S. degrees in mechanical engineering from Brigham Young Univer- sity. He holds a professional engineer certification. Prior to teaching at Eastern Washington University, he was a military pilot, an engineering instructor at West Point, and an airline pilot. His interests include aerospace, aviation, professional ethics, and piano technology. Page 25.293.1
Paper ID #42340Board 213: Building an AI Certificate and a Computing Identity: BroadeningParticipation in Computing and Artificial Intelligence at a Hispanic-servingCommunity CollegeDr. Sarah L Rodriguez, Virginia Polytechnic Institute and State University Sarah L. Rodriguez is an Associate Professor of Engineering Education and an affiliate faculty member with the Higher Education Program at Virginia Tech. Her engineering education research agenda centers upon engineering and computing identity development of historically marginalized populations at higher education institutions. Currently, Dr. Rodriguez is involved with
Paper ID #7793Integrating Cyber Infrastructure with Physical LaboratoriesProf. Yongpeng Zhang, Prairie View A&M University Dr. Yongpeng Zhang received his Ph.D. degree in Electrical Engineering from University of Houston in 2003, then joined Prairie View A&M University as a post-doctoral researcher. Dr. Zhang was then appointed to work as a tenure-track assistant professor in Engineering Technology in 2004. He was pro- moted to associate professor with tenure in 2010. His research interests are control system, mechatronics, motor drive, and power electronics. His research has been widely recognized and funded by
AC 2012-4896: BUILD TO LEARN: EFFECTIVE STRATEGIES TO TRAINTOMORROW’S DESIGNERSMr. Vimal Kumar Viswanathan, Texas A&M University Vimal Viswanathan is a Ph.D. student in the Mechanical Engineering Department at Texas A&M Uni- versity. He completed his bachelor’s of technology in mechanical engineering from the National Institute of Technology, Calicut, India, and master’s of science in mechanical engineering from Texas A&M Uni- versity. He is expected to complete his Ph.D. in Aug. 2012. He has published three journal papers and more than 10 conference papers. His primary research interest is the effect of physical representations in engineering idea generation process.Dr. Julie S. Linsey, Texas A&M
AC 2012-4422: USABILITY EVALUATION OF A PROBLEM SOLVINGENVIRONMENT FOR AUTOMATED SYSTEM INTEGRATION EDUCA-TION USING EYE-TRACKINGPunit Deotale, Texas A&M UniversityDr. Sheng-Jen ”Tony” Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a professor in the Dwight Look College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the De- partment of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano man- ufacturing. He is also the Director of the Rockwell Automation Laboratory at Texas A&M
Paper ID #41658Board 262: Enhancing Deep Knowledge Tracing via Diffusion Models forPersonalized Adaptive LearningProf. Xishuang Dong, Prairie View A&M University Xishuang Dong is Assistant Professor of Electrical and Computer Engineering Department, Roy G. Perry College of Engineering, Prairie View A&M University. His research interests include foundation AI, deep learning, object detection, natural language processing, computer systems biology, and Internet of Things.Dr. Yujian Fu P.E., Alabama A&M University Dr. Yujian Fu is an associate professor of computer science department at Alabama A&M University
), aims to enhance the freshman experience forincoming students by developing key academic success skills. The program is developing self-transformation skills in freshman mechanical engineering students to help them overcomeacademic and professional challenges exacerbated by the COVID-19 pandemic. FYIE participantsare taking two courses simultaneously: Introduction to Engineering (Course A) and LearningFrameworks (Course B). In Course A, students will complete a 6-week engineering design project,and in Course B, they are completing a 6-week academic career path project. During these parallelprojects, timed interventions demonstrate the analogies between the engineering design processand the academic career pathways project. The objective is for
input from other faculty members who are activelyengaged in hands-on pedagogical activities.Biobliography1. B. Ferri, S. Ahmed, J. Michaels, E. Dean, C. Garvet, S. Shearman, "Signal ProcessingExperiments With LEGO MINDSTORMS NXT Kit for Use in Signals and Systems Courses,"Proceedings of the American Control Conference, St. Louis, June 2009, pp. 3787-3792.2. G. Droge, B. Ferri, and O. Chiu, “Distributed Laboratories: Control System Experiments withLabVIEW and the LEGO NXT Platform,” ASEE Annual Conference and Exposition, SanAntonio, June 2012.3. B. Ferri, J. Auerbach, “A Portable Finite State Machine Module Experiment for In-Class Use inLecture-Based Course, ASEE Annual Conference and Exposition, San Antonio, June 2012.4. B. Ferri, J. Auerbach
goal for our project is “To develop a reliable and validsurvey instrument to obtain measures of student learning in makerspaces which can measure howpervasive engineering student learning is in makerspaces.” To accomplish our goal, we selected asolid theoretical foundation for our work: the Learning Through Making Typology [10]. Weselected the typology because (a) it summarizes the expertise of part of our research team, whichparticipated in the research and development of the typology; (b) it was developed throughextensive qualitative work where the researchers investigated real makerspace users in academicsettings through interviews and ethnographic methods; and (c) the researchers wanted tohighlight the experience of minoritized populations
Princeton and her Ph.D. in Electrical Engineering from Georgia Tech. She spent two years working for Honeywell, Inc. as a controls engineer. She spent ten years working on hands-on education and has won several awards including the Harriet B. Rigas Award from the IEEE Education Society.Dr. Dianna Newman Mohamed Chouikha is a Professor and Chair of the Department of Electrical and Computer Engineering at Howard University. He received his MS and PhD in Electrical Engineering from the University of Colorado – Boulder. Dr. Chouikha’s research interests include, among other areas, machine learning, in- telligent control, and multimedia signal processing communications for secure networks. He also focuses on enhancing
type options is alsoavailable. Some images from VADER-1 are presented in Figure 2. In the conference room,students receive instructions for the mission of VADER-1 from their chosen project manager.Afterward, in each room of VADER-1, students engage in interactive experiences that enablethem to delve into the implications of design decisions associated with each subdiscipline. Figure 2. Images of VADER-1: (a) conference room, (b) MRI inspection room, (c) patient room, (d) exterior wall type exploration.For instance, in a room focusing on scenarios related to the lighting discipline, students canchoose from various shading alternatives and visually assess the impact of these choices on thelighting conditions of the
FrequenciesThe results shown in Figures 1 and 2 represent one measure of how the CDRM was utilized, interms of the magnitude of coins (0 to 100) assigned to the correct answers. Figure 3 illustrates asecond measure of utilization, in terms of the number of answer choices to which students (a) (b)Figure 1. Number of coins assigned to correct answer when choosing correct answer for (a) fall2015 and (b) spring 2016. (a) (b)Figure 2. Number of coins assigned to correct answer when choosing incorrect answer for (a)fall 2015 and (b) spring 2016
in terms of four key assets that students with inclusiveprofessional identities will possess: (a) the necessary technical knowledge, skills, and abilities towork in their chosen field, (b) an appreciation for how all kinds of diversity strengthenengineering and computer science as disciplines, (c) knowledge of how to act in inclusive waysand create inclusive environments within their fields and (d) preparation to consider a diversepopulation of users when designing. Of note, the project espouses a broad definition of diversity[1], which includes diversity in terms of problem-solving approaches, personalities, anddemographic characteristics as well as cognitive, social, and personal characteristics. Whilerecognizing the need for a broad
one of the initial steps we have taken towards that goal.References[1] J. M. Carey, K. R. Carman, K. P. Clayton, Y. Horiuchi, M. Htun, and B. Ortiz, “Who wants to hire a more diverse faculty? A conjoint analysis of faculty and student preferences for gender and racial/ethnic diversity,” Politics, Groups, and Identities, vol. 8, no. 3, pp. 535– 553, May 2020, doi: 10.1080/21565503.2018.1491866.[2] L. A. Schimanski and J. P. Alperin, “The evaluation of scholarship in academic promotion and tenure processes: Past, present, and future,” F1000Res, vol. 7, p. 1605, Oct. 2018, doi: 10.12688/f1000research.16493.1.[3] D. B. Rice, H. Raffoul, J. P. A. Ioannidis, and D. Moher, “Academic criteria for promotion and tenure in
, 1999.[14] D. Oyserman, N. A. Lewis Jr., V. X. Yan, O. Fisher, S. C. O’Donnell, & E. Horowitz. “An identity-based motivation framework for self-regulation.” Psychological Inquiry, vol. 28, no. 2-3, pp. 139-147, 2017.[15] A. Godwin, G. Potvin, Z. Hazari, & R. Lock. “Identity, critical agency, and engineering: an affective model for predicting engineering as a career choice.” Journal of Engineering Education, vol. 105, no. 2, pp. 312-340, 2016.[16] H. Perkins, M. Tsugawa-Nieves, J. N. Chestnut, B. Miller, A. Kirn, and C. Cass, “The Role of Engineering Identity in Engineering Doctoral Students’ Experiences,” in American Society for Engineering Education Annual Conference and Proceedings, Columbus
faculty to exercise agency as it relates to impacting engineering educationduring their first few years in academic positions.Executive SummaryProject Outcomes and SignificanceWe will reach our project aims by specifically addressing the following qualitative researchquestions: RQ1. What impact do early career faculty members hope to have within engineering education? RQ2. How do (a) institutional, (b) individual, and (c) disciplinary field and societal features influence early career engineering education faculty member’s agency to impact engineering education in their particular positions? RQ3. How do early career faculty members perceive their impact on engineering education at their institution and
the University of Illinois’ College of Liberal Arts & Sciences (2019); and the Science Spectrum Trailblazer Award, by career communications group as a part of the 34th Black Engineer of the Year STEM Conference (2020).Dr. Erik M. Hines, Florida State University Dr. Erik M. Hines is an associate professor in the Department of Educational Psychology and Learning Systems at the Florida State University as well as the coordinator of the Counselor Education Program and School Counseling Track. Dr. Hines prepares graduate students to be professional school counselors. Dr. Hines’s research agenda centers around: (a) college and career readiness for Black males; (b) parental involvement and its impact on academic
produced actionable resources for their Safe-Zone workshops and VCP.The VCP meets approximately biweekly to (a) identify LGBTQ inclusion approachesappropriate for their department context, (b) share resources and (c) support each other as theydevelop and implement an action plan to change climate and promote LGBTQ equality in theirown departments.Safe Zone Workshops are campus ally training programs that aim to create a visible network ofLGBTQ-affirming individuals and contribute to creating a positive and inclusive climate [23,39]. Conventional Safe Zone Workshops are general training for all members of a campuscommunity, and they address general campus concerns rather than issues that might arise indepartments and classrooms. This project has
appropriate levels of internalconsistency reliability [22]. Survey data were analyzed using both a paired t-test and theWilcoxon Rank Sign non-parametric equivalent test [23]. In general, the results from bothstatistical analyses were in close alignment with one another.Important results from the surveys are listed below: a) The students showed increases in task value through their participation in this project although effect sizes were small b) The students’ self-efficacy scores generally increased with a statistically significant increase in “I can figure out how to do difficult work” (p=0.011 for both tests; Cohen’s d = 0.364). c) Students self-regulation of learning showed statistically significant differences in
) Type 2 project (DUE 1065486) founded on a precursor NSF Page 23.651.2Course, Curriculum and Laboratory Improvement (CCLI) Type 1 project, Inventory ofEvaluation Tools for Engineering Education Projects. The Inventory project (a) established theneed for a readily available repository of high quality evaluation tools to support evaluation ofengineering education projects, (b) identified some of the tools and characteristics that may bevaluable for an evaluation tools database, and (c) identified potential user groups who couldbenefit from an engineering education evaluation tools database. As part of the precursor project,a panel of national
institutions and to workers in industryto broaden impact.Specific project objectives include: 1. Provide Electrical Engineering Technology (EET) two-year and four-year students with current and relevant skills in Industrial Robotics by: a. Updating both the two-year and four-year electrical engineering technology curriculum to include skills in industrial robotics relevant to current industry needs. b. Enhancing the existing Industrial Robotics laboratory at Michigan Tech and establishing a similar laboratory at Bay Community College to demonstrate the value of state-of-the-art, hands-on training experiences and support the course changes. 2. Provide “stand-alone” programs to train and certify students from other
Mathematics, 2013. Accessed: Feb. 12, 2023. [Online]. Available: https://www.nctm.org/Store/Products/The-Impact-of-Identity-in-K-8-Mathematics--Rethinki ng--Equity-Based-Practices/[6] B. Louie, B. A. Myers, J. Y. Tsai, and T. D. Ennis, “Fostering an Asset Mindset to Broaden Participation through the Transformation of an Engineering Diversity Program,” presented at the 2017 ASEE Annual Conference & Exposition, Jun. 2017. Accessed: Feb. 12, 2023. [Online]. Available: https://peer.asee.org/fostering-an-asset-mindset-to-broaden-participation-through-the-transfor mation-of-an-engineering-diversity-program[7] K. Eagan, S. Hurtado, T. Figueroa, and B. E. Hughes, “Examining STEM pathways among students who begin college at four
was impactful for many people. It really could be separate, though it wouldn't really be a “MIDFIELD” workshop. Maybe having people come in with a graph from their work and think about how the things Richard talked about could be used to make the graph better would be an alternative to the second R script session. • I think this was effective online. Some discussion might have been easier in person, but having access to chat is really nice b/c it allows you to ask questions/comment without interrupting the speaker. • And chocolate would be nice.Feedback from this evaluation will be used to improve subsequent offerings.Dissemination and ProductsNote that materials from the MIDFIELD Institute are available
’ identities and motivations.” In 2018 ASEE Annual Conference & Exposition. June 2018. https://peer.asee.org/303193. Nunnally, B., Farkas, D., 2016, UX research: practical techniques for designing better products. Boston: O’Reilly Media, Inc.4. Choe, N., Borrego, M., 2019, “Prediction of engineering identity in engineering graduate students”. IEEE Transactions on Education, Vol. 62 No. 3, pp. 181-187. https://ieeexplore.ieee.org/abstract/document/86670455. Bahnson, M., Perkins, H., Tsugawa, M., Satterfield, D., Parker, M., Cass, C., and Kirn, A., 2021, “Inequity in graduate engineering identity: Disciplinary differences and opportunity structures”. Journal of Engineering Education, Vol. 110 No. 4, pp. 949-976. https
. L., Lobel, S. A., & Cox, T. H. (1996). Ethnic diversity and creativity in small groups. Small Group Research, 27(2), 248–264.National Academy of Engineers. (2006). Engineering studies at tribal colleges and universities. Washington, D.C.: National Academies Press.National Science Foundation. (2013a). Tribal Colleges and Universities Program (TCUP). Retrieved July 22, 2013, fromNational Science Foundation. (2013b). Women, minorities, and persons with disabilities in science and engineering (No. 13–304).Perry, W., Broers, A., El-Baz, F., Harris, W., Healy, B., & Hillis, W. D. (2008). Grand challenges for engineering. National Academy of Engineering, Washington, DC.Pintrich, P. R., & Zusho, A. (2007
Science Foundation.References1. Head, A. J. & Eisenberg, M. B. Project Information Literacy Progress Report: “Lessons Learned: How College Students Seek Information in the Digital Age.”42 ST – Project Information Literacy Progress Rep (The Information School, University of Washington). at 2. Gross, M. & Latham, D. What’s Skill Got to Do With It?: Information Literacy Skills and Self-Views of Ability Among First-year College Students. J. Am. Soc. Inf. Sci. Technol. 63, 574–583 (2012).3. Wertz, R. E. H., Ross, M. C., Purzer, S., Fosmire, M. J. & Cardella, M. E. Assessing Engineering Students’ Information Literacy Skills: An Alpha Version of a Multiple- Choice Instrument. in ASEE Annu. Conf
and facilitate an accelerated pace for the course. Seventy percent of the students tookCollege Algebra or a higher-level math course. Students who had completed those courses wereadvised to take other science and math courses that were part of their engineering degree plan. Thegoals of these activity are: a) extracurricular activities and a supportive learning environment aredesigned to give students a beneficial and positive college experience that would encourage themto continue pursuit of their degree upon graduation from high school; b) recruit 30 TexPREPgraduates who are not yet in their final year of high school to the program and who have beenaccepted to the concurrent enrollment program; c) offer two special target courses that will
: Engineering persisters vs. engineering switchers. Engineering Learning Workshop, Chicago, IL 7. Beam, T., Pierrakos, O., Constantz, J., Johri, A., & Anderson, R. (2009) Preliminary findings on freshman engineering students' professional identity: Implications for recruitment and retention. Proceedings American Society for Engineering Education Annual Conference and Exposition, Austin, TX. 8. Matusovich, H. M., Barry, B. E., Meyers, K., & Louis, R.* (2011). A Multi-Institution Comparison of Identity Development as an Engineer. Proceedings - American Society of Engineering Education Annual Conference and Exposition, Vancouver, BC, Canada. 9. Meyers, K., Ohland, M., Pawley, A., Silliman, S., Smith