research work is mainly focused on two areas, (a) designing novel materials for electronic and energy applications using ab-initio Density Functional Theory (DFT) which is imple- mented using Quantum espresso package (b). Designing computational tools for engineering education using Python/Matlab.Dr. Binh Q. Tran, Marian University Dr. Binh Q. Tran is the founding dean for the E.S. Witchger School of Engineering at Marian Univer- sity in Indianapolis. He has bachelor’s and master’s degrees in mechanical engineering from U.C. San Diego and San Diego State University, respectively, and received his doctorate in biomedical engineering from the University of Iowa. His research interests are related to applications of
Subtopics: ❖ Introductions and icebreakers. ❖ Overview of “Engineering Bright Futures” program. ❖ Statistics and rankings. ❖ Engineering buildings and facilities. ❖ Technical, affinity, and academic engineering organizations. ❖ “Why engineering?” Week 2: Week of Topic: Engineering Majors Part 1 11/1 Subtopics: ❖ Summary of common engineering majors. ❖ Computer Engineering and Q&A. ❖ Software Engineering and Q&A. ❖ Aerospace Engineering and Q&A. ❖ Mechanical
, E. Tõnisson, and M. Lepp, "Factors That Influence Students' Motivation and Perception of Studying Computer Science," in Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019, pp. 873-878.[17] J. B. Main, T. Dang, B. Johnson, Q. Shi, C. Guariniello, and D. Delaurentis, "Why Students Choose STEM: A Study of High School Factors That Influence College STEM Major Choice," in 2023 ASEE Annual Conference & Exposition, 2023.[18] S. L. Ferguson, K. P. Ieva, C. J. Winkler, K. Ash, and T. Cann, "How do you know if this is for you? Exploration and awareness of technical STEM careers," School Science and Mathematics, vol. 123, no. 3, pp. 114-124, 2023, doi: https://doi.org/10.1111
reported no difference between the pre- and post-test survey, a0 was given for that question. If a student reported a negative difference between the pre- andpost-test survey, a -1 was given for that question. The tallies were added up and a positive sumcorresponded to a positive progression, a sum of 0 corresponded to no progression, a negativesum corresponded to a negative progression. More formally: s = student c = construct Q(c, s)ij = numerically scaled Likert response matrix for each student and construct n(c) = number of questions in a constructFor each student in a construct, a score is calculated through Eq. 1 as: n
per fiscal year depending on their grant contribution. Typically, this funding alignswith the company’s philanthropic mission or community outreach goals, and also provides amechanism for employee volunteerism. Industry partners are highlighted throughout the eventand are often guest speakers. They have the option to invite engineers and other STEMprofessionals to interact with the students, serve as panelists for the Q&A session, and model theSTEM activity alongside the students. Everyone supporting the event goes through intensivevolunteer training where they learn their roles and responsibilities, receive access to the kitguides, and learn the science behind the STEM kit. This allows volunteers to better instruct thestudent
measure, including askingthe educators to consider what new knowledge of STEM broadly, and geospatial designspecifically they hope to see in their students. References1. Chen, CM., Wang, YH. (2015). Geospatial Education in High Schools: Curriculums, Methodologies, and Practices. In: Muñiz Solari, O., Demirci, A., Schee, J. (eds) Geospatial Technologies and Geography Education in a Changing World. Advances in Geographical and Environmental Sciences. Springer, Tokyo. https://doi.org/10.1007/978- 4-431-55519-3_62. Bodzin, A. M., & Fu, Q. (2014). The effectiveness of the geospatial curriculum approach on urban middle-level students’ climate change understandings. Journal of Science Education
learning technology into classrooms: The importance of teachers’ perceptions. Journal of Educational Technology & Society, 5(1), 67–74. https://www.jstor.org/stable/jeductechsoci.5.1.67Dominic, K., & Aik Ling, T. (2021). Singaporean Pre-service Teachers’ Perceptions Of STEM Epistemic Practices And Education. Journal of STEM Teacher Education. https://doi.org/10.30707/jste56.2.1649165366.257139Fantacone, D., Wang, Q., & Radloff, J. (2024). Science and Mathematics Teachers’ Views of the Characteristics of Effective Professional Development: A Q Methodological Study. Research Issues in Contemporary Education, 9(1), 77-113.Flanagan, C., Gallay, E., & Pykett, A. (2022). Urban youth and the
system to signfamilies up and their main branch for distribution of kits. Our team responded to all participantinquiries, provided weekly online Q&A sessions, and replenished used materials in the kits. Weoffered four separate kits to families: Roller Coaster, Squishy Circuits, Trendy Tennies, andWatercolor Bots. Registration was opened for each kit individually and was capped at 35families per kit. Families checked out the kits and completed them at home.This study focuses on the Watercolor Bot kit. Each kit contained a set of instructions (child), afacilitation guide (caregivers), video links that provided more information and examples, avariety of materials (e.g., Q-tips, cotton balls), two lithium coin cell batteries, and two
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study were asked toadminister the pre-assessment and pre-engagement survey before the unit implementation began,and they administered the post-assessment and post-engagement survey immediately after theunit implementation ended. Pre- and post-mean scores were calculated for both measures, andpaired-samples t-tests were conducted to determine if the differences were statisticallysignificant. The analyses were performed using R Studio and IBM SPSS Statistics 28.0.Statistical assumptions were assessed for data normality through skewness and kurtosis values,as well as Q-Q plots. Skewness values for all variables indicated moderate to low skewness,falling between -1 and 1. Similarly, kurtosis ranged between -2 to +2, meeting acceptable criteriafor
initially hesitant to engage with us on this project due to the logistics of kitcirculation and concerns with how kits would fit within their existing structure of their summerreading program. To allay the library’s concerns, we worked out a plan to utilize their existingactivity registration system to sign families up and their main branch for distribution. Our teamresponded to all email inquiries from the participants, provided weekly online Q&A sessions,and restocked used materials in kits. The library maintained control over registration andcommunication with families, including all personal identifying information. Our library partnersnoted that they appreciated that we worked within their parameters of lead time for planning ofthe summer
Sign-In/Team Assignmentsworkshop participants to a series of 9:00 AM Introductions/Team Icebreaker Activityengineering activities and careerpaths. Through the SWEET 9:30 AM Overview of Engineering Disciplines PresentationProgram, middle school-aged girls 10:00 AM Activity 1were exposed to the exciting andmeaningful career possibilities in 11:00 AM Lunch/Engineering Facilities Tourengineering from the perspectives of 12:00 PM Q&A with SWE Professional Membersfaculty, current students, and women 12:30 PM Activity 2in the industry. Workshopparticipants
Journal of Research &Method in Education, vol. 45, no. 2, pp. 200–211, Mar. 2022, doi: 10.1080/1743727X.2021.1902980.[15] L. M. Given, H. O’Brien, R. Absar, and D. Greyson, “Exploring the complexities of informationpractices through arts‐based research,” Proc of Assoc for Info, vol. 50, no. 1, pp. 1–4, Jan. 2013, doi:10.1002/meet.14505001003.[16] D. Ozkan, C. Edwards, S. Bhaduri, and D. Bairaktarova, “Sketching with Students: An Arts-informed Qualitative Analysis of First-year Engineering Students,” in 2018 ASEE Annual Conference &Exposition Proceedings, Salt Lake City, Utah: ASEE Conferences, Jun. 2018, p. 30967. doi: 10.18260/1-2--30967.[17] S. Coemans, Q. Wang, J. Leysen, and K. Hannes, “The use of arts-based methods in
Development, vol. 4, no. 1., 2002.[8] J. A. del Alamo et al., “Reasserting U.S. Leadership in Microelectronics: A White Paper on the Role of Universities,” MIT, 2021.[9] P. Patel, “Building a U.S. Semiconductor Workforce,” IEE Explore, pp. 28–35, Jun. 2023. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10147079[10] J. Wilson, A. M. Krakowsky, & C. I. Herget, “Starting early: Increasing elementary (K-8) student science achievement with retired scientists and engineers,” IEEE Transactions on Education, vol. 53, 2010.[11] R. H. Tai, C. Q. Liu, A. V. Maltese, & X. Fan, “Planning for early careers in science,” Science, vol. 312, no. 5777, 2006. doi: 10.1126/science.1128690[12] A. J. Crawford et al
.” Accessed: Feb. 07, 2024. [Online]. Available: https://ieeexplore-ieee-org.proxy.library.vanderbilt.edu/document/7344065[4] J. M. Bystydzienski, M. Eisenhart, and M. Bruning, “High School Is Not Too Late: Developing Girls’ Interest and Engagement in Engineering Careers,” Career Dev. Q., vol. 63, no. 1, pp. 88–95, 2015, doi: 10.1002/j.2161-0045.2015.00097.x.[5] J. Rodriguez, S. Butt, and T. Fredericks, “Pre-college activities to promote positive perception of Engineering and Engineering Technology Careers,” 2014 International Conference on Interactive Collaborative Learning (ICL), Dec. 2014. doi:10.1109/icl.2014.7017858[6] A. R. Carberry, M. Dalal, and O. Emiola-Owolabi, “Understanding the Anchors Associated with
to discuss their researchareas with clear application to the K-8 classroom. As with the teachers, we met with theresearchers a week prior to the workshop and asked them to prepare an 8 minuteteacher-practice-friendly presentation about some of their research that would directly apply toclassrooms. The structure of this session was as follows: • 8 minutes for researcher presentation • 5 minutes of table talk within small groups in the audience • 5 minutes Q& A between the audience and researcher (influenced by the table talk)The researchers’ topics included negative impacts of gender stereotypes in K-8 CS education,scaffolding CS curriculum for K-8 students, and strategies to include students with disabilities inK-8 CS
, 2011.[10] J. Gerlach, “Is STEM interest fading with students?” Everfi.com. https://everfi.com/infographic/k-12/is-stem-interest-fading-with-students/ (accessed December 1, 2022).[11] R. H. Tai, C. Q. Liu, A. V. Maltese, & X. Fan, “Planning early for careers in science,” Science, vol. 312, no. 5777, pp. 1143-1144, 2006.[12] A. Martinez Ortiz, L. Rodriguez Amaya, H. Kawaguchi Warshauer, S. Garcia Torres, E. Scanlon, & M. Pruett, “They choose to attend academic summer camps? A mixed methods study exploring the impact of NASA academic summer pre-engineering camp on middle school students in a Latino community,” Journal of Pre-College Engineering Education Research, vol. 8, no. 2, Article 3, 2018
literature,” Hisp. J. Behav. Sci., vol. 43, no. 3, pp. 174–203, 2021.[3] National Academies of Sciences Engineering and Medicine, The integration of the humanities and arts with sciences, engineering, and medicine in higher education: Branches from the same tree. Washington, D.C.: National Academies Press, 2018. doi: 10.17226/24988.[4] C. G. Velez-Ibanez and J. B. Greenberg, “Formation and Transformation of funds of knowledge among U.S.-Mexican households,” Anthropol. Educ. Q., vol. 23, no. 4, pp. 313– 335, 1992.[5] L. C. Moll, C. Amanti, D. Neff, and N. Gonzalez, “Funds of knowledge for teaching: using a qualitative approach to connect homes and classrooms,” Theory Pract., vol. 31, no. 2, pp. 132–141, 1992.[6] A. C. Barton, E
Sustained Participation in Engineering,Computing, and Technology (RESPECT), 2022.[6] P. Ruiz, K. Mills, Q. Burke, and M. Coenraad, “Teacher and Student Empathy Interviews asan Instrument for Considering More Inclusive K-12 Computing Pathways,” 2021 Conference onResearch in Equitable and Sustained Participation in Engineering, Computing, and Technology(RESPECT), 2021.[7] C. Pannier, C. Berry, M. Morris, and X. Zhao, “Diversity and Inclusion in Mechatronics andRobotics Engineering Education,” ASEE Annual Conference & Exposition, 2020.[8] P. Ordóñez, H. Ortiz-Zuazaga, and J. Ramírez-Lugo, “Broadening Participation inComputing through a Biology Summer Research Experience for Undergraduates,” 2020Research on Equity and Sustained Participation in
? 4. How do you think other people get their ideas about autism? 5. How do you think autism impacts someone’s day-to-day life both positively and negatively? An additional survey was created to further measure autism knowledge. The survey wasdeveloped by adapting the Autism Knowledge Survey - Revised (AKS-R)26, Autism AwarenessScale/Survey (AAS)27-29, Autism Spectrum Knowledge Scale General Population (ASKSG)30-31, andresearch from Kuzminski et al. (2019)32. A survey focused on presuming competence and attitudes towards autistic people was created byadapting the Attitude Towards Autism Questionnaire (ATA-Q)33 and the Societal Attitudes Towards AutismScale (SATA)34. Additionally, research from Hanel & Shah (2020), Haddock
of these years,” Environ. Law, vol. 38, no. 2, pp. 371–411, 2008.[26] Q. Zhu and B. Jesiek, “Engineering Ethics in Global Context: Four Fundamental Approaches,” in 2017 ASEE Annual Conference & Exposition Proceedings, Columbus, Ohio: ASEE Conferences, Jun. 2017, p. 28252. doi: 10.18260/1-2--28252.[27] A. Andenoro, M. Sowcik, and T. Balser, “Addressing Complex Problems: Using Authentic Audiences and Challenges to Develop Adaptive Leadership and Socially Responsible Agency in Leadership Learners,” J. Leadersh. Educ., vol. 16, no. 4, pp. 1–19, Oct. 2017, doi: 10.12806/V16/I4/R1.[28] Ş. Purzer, J. Quintana‐Cifuentes, and M. Menekse, “The honeycomb of engineering framework: Philosophy of engineering
MATLAB in e4usa (Fundamental)”.[5] J. H. Berssanette and A. C. De Francisco, “Cognitive Load Theory in the Context of Teaching and Learning Computer Programming: A Systematic Literature Review,” IEEE Trans. Educ., vol. 65, no. 3, pp. 440–449, Aug. 2022, doi: 10.1109/TE.2021.3127215.[6] T. J. Impelluso, “Assessing Cognitive Load Theory to Improve Student Learning for Mechanical Engineers,” Am. J. Distance Educ., vol. 23, no. 4, pp. 179–193, Dec. 2009, doi: 10.1080/08923640903294569.[7] Y. Shi, J. Du, Q. Zhu, and X. Liu, “The Impact of Engineering Information Formats on Workers’ Cognitive Load in Working Memory Development,” pp. 79–88, Nov. 2020, doi: 10.1061/9780784482858.010.[8] J. Sweller, J. J. G. Van Merriënboer, and F
, pp. 220-243, 2012.[28]. A. P. Rehmat, H. Ehsan, and M. E. Cardella, M. E. “Instructional strategies to promote computational thinking for young learners. J. Digital Learn. Teach. Edu. Vol. 36, no. 1, pp. 46–62, 2020. doi:10.1080/21532974.2019.1693942[29]. H. Ehsan, T. Dandridge, I. Yeter, and M. E. Cardella, "K-2 students’ computational thinking engagement in formal and informal learning settings: A case study” Proceedings of the ASEE Annual Conference & Exposition, Salt Lake City, UT, 2018 https://peer.asee.org/30743[30]. T. Bell, P. Curzon, Q. Cutts, V. Dagiene, and B. Haberman, “Overcoming obstacles to CS education by using non-programming outreach programmes,” in Informatics in
morelikely to engage in the epistemic practice, consider problems in context. This supports priorresearch that has shown empathy to be a skilled developed through user-centered engineeringcontexts [33-34]. Similar, the structure and open-ended nature of the kits to align with anengineering design process elicited engagement in particular epistemic practices such asenvisioning multiple solutions. In the context of this study, envisioning multiple solutions weregrounded in the process of sketching which has been shown to promote the development ofinnovative ideas, building upon ideas, and deeper thinking about their solutions [35]. Second, theinclusion of familiar and everyday materials (e.g., q-tips, cotton balls, sandpaper, straws)supported children
thing orientation,” in 2022 IEEE Frontiers in Education Conference (FIE). IEEE, 2022, pp. 1–6.[11] J. B. Main, T. Dang, B. Johnson, Q. Shi, C. Guariniello, and D. Delaurentis, “Why students choose STEM: A study of high school factors that influence college STEM major choice,” in 2023 ASEE Annual Conference & Exposition, 2023.[12] L. W. Perna, “Studying college access and choice: A proposed conceptual model,” in Higher education: Handbook of theory and research. Springer, 2006, pp. 99–157.[13] M. J. Grant and A. Booth, “A typology of reviews: an analysis of 14 review types and associated methodologies,” Health information & libraries journal, vol. 26, no. 2, pp. 91–108, 2009.[14] R. W. Lent, S. D. Brown, G. Hackett et
. Lecture Notes in Computer Science, E. Barendsen, and C. Chytas, Eds., Springer, 2021, vol. 13057, pp. 95-108. https://doi.org/10.1007/978-3-030-90228-5_8[18] G. Anton and U. Wilensky, “One size fits all: Designing for socialization in physical computing,” Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019, pp. 825-831. https://doi.org/10.1145/3287324.3287423[19] A. G. Chakarov, Q. Biddy, C. H. Elliott, and M. Recker, “The data sensor hub (DaSH): A physical computing system to support middle school inquiry science instruction,” Sensors, vol. 21, no. 6243, pp. 1-16, 2021. https://doi.org/10.3390/s21186243[20] M. Przybylla, F. Henning, C. Schreiber, and R. Romeike, “Teachers’ expectations and