andEngineering Education” published in the United States in the 1990s[1], STEMeducation has been formally proposed and gradually known to the public as anemerging mode of training innovative talents. As a new wave of the S&T revolutioncharacterized by digitalization, intelligence, and green innovation surges, STEMeducation plays an increasingly important role in the supply of innovative talents.STEM education focuses on real issues, adopts interdisciplinary content arrangement,and emphasizes improving students’ ability to apply multidisciplinary knowledge andstimulating creative thinking. Since STEM education is in line with the practicalneeds of societal development for talent training, it has soon attracted the attention ofgovernments worldwide
-the Major Courses,” WritingAcross the Disciplines, Vol. 18, Issue 3/4, 265-283[5] Wolfe, J. (2009). How technical communication textbooks fail engineering students.Technical Communication Quarterly, 18(4), 351-375.[6] Conrad, S. “A Comparison of Practitioner and Student Writing in Civil Engineering,” J. Eng.Educ., vol. 106, no. 2, pp. 191–217, Apr. 2017, doi: 10.1002/jee.20161.[7] Conrad, S. "About — Writing in Civil Engineering", Writing in Civil Engineering, 2015.[Online]. Available: http://www.cewriting.org/558324d0e4b0506a50edc65a.[8] Conrad, S. Civil Engineering Writing Project, http://www.cewriting.org/teaching-materials[Accessed on 4/12/2023].[9] Popovics, J., & Zilles, J., & Pattaje Sooryanarayana, K., & Avgoustopoulos, R
. slide layout. contribution.Interaction Ability to field questions and ask cogent High quality interaction indicative of Acceptable interaction with audience Weak interaction indicative of poor questions. Behavior and interactions with strong rapport, questions, and active through engagement and answering of rapport, few questions, and poor audience members. Evidence of effective listening. Provided strong evidence of some questions well. Provided some listening. No evidence of adequate mentor(s) engagement. mentor(s) engagement and inputs
Engineering Ethics Interventions,” Sci. Eng. Ethics, vol. 24, no. 2, pp. 551–583, Apr. 2018, doi: 10.1007/s11948-017-9910-6.[2] D. A. Martin, E. Conlon, and B. Bowe, “Using case studies in engineering ethics education: the case for immersive scenarios through stakeholder engagement and real life data,” Australas. J. Eng. Educ., vol. 26, no. 1, pp. 47–63, Jan. 2021, doi: 10.1080/22054952.2021.1914297.[3] K. S. Kalyan, A. Rajasekharan, and S. Sangeetha, “AMMUS : A Survey of Transformer- based Pretrained Models in Natural Language Processing.” arXiv, Aug. 28, 2021. doi: 10.48550/arXiv.2108.05542.[4] T. Mikolov, K. Chen, G. Corrado, and J. Dean, “Efficient Estimation of Word Representations in Vector Space.” arXiv, Sep. 06
: Bringing Students Together to Promote Learning,” GettingSmart, Oct. 11, 2018.https://www.gettingsmart.com/2018/10/11/collaboration-bringing-students-together-to-promote-learning-can-move/ (accessed Feb. 09, 2023).[2] “Collaborative Learning | Center for Teaching Innovation.”https://teaching.cornell.edu/teaching-resources/active-collaborative-learning/collaborative-learning (accessed Feb. 09, 2023).[3] C. H. Liu, S. Pinder-Amaker, H. “Chris” Hahm, and J. A. Chen, “Priorities for addressing theimpact of the COVID-19 pandemic on college student mental health,” Journal of AmericanCollege Health, vol. 70, no. 5, pp. 1356–1358, Jul. 2022, doi: 10.1080/07448481.2020.1803882.[4] V. D. Tran, “Does Cooperative Learning Increase Students’ Motivation in
Guevara, J. C. Tudón Martínez, D. Hernández Alcántara, and R. Morales-Menendez, “Active learning in engineering education. A review of fundamentals, best practices and experiences,” Int. J. Interact. Des. Manuf. IJIDeM, vol. 13, pp. 909–922, 2019, doi: 10.1007/s12008-019-00557-8[3] S. Olson and D. G. Riordan, “Engage to excel: producing one million additional college graduates with degrees in science, technology, engineering, and mathematics. Report to the president.,” Exec. Off. Pres., 2012, https://eric.ed.gov/?id=ed541511.[4] E. ASEE, “Transforming Undergraduate Education in Engineering: Phase II: Insights from tommorow’s engineers,” Wash. DC Natl. Sci. Found., 2017.[5] A. J. James, C. K. Chin, and B. R. Williams
©American Society for Engineering Education, 2023 Leveraging Innovation and Optimizing Nurturing in STEM: Investigating role identities of low-income engineering students prior to their first semester of college (NSF S-STEM #2130022)The purpose of the Leveraging Innovation and Optimizing Nurturing in STEM Program (NSF S-STEM #2130022, known locally as LION STEM) is to support the retention and graduation ofhigh-achieving, low-income engineering scholars with demonstrated financial need at Penn StateBerks, a regional campus of The Pennsylvania State University. The LION STEM programbuilds upon the Sustainable Bridges from Campus-to-Campus project (NSF IUSE #1525367)which formed the
theCollective Self-Esteem Scale [35] and included three of the original MIBI-T seven subscales(centrality, private regard, and public regard). We used this scale with the purpose of exploringstudents’ ethnic identity identification [36]. Because Latinx ethnic identity can be complex andvaried, we developed an initial question to allow the students to self-identify ethnically(Latin/Hispanic, Puerto Rican/Boricua, etc.), they then answered follow-up questions related tothat identity such as “I have a strong sense of belonging to other _____ people,” and “Mostpeople think that ______(s) are as smart as people of other groups.”Sense of Belongingness in Computer Science: Items were selected from the Sense of Social andAcademic Fit (in STEM) instrument [37
career development process. The Career Development Quarterly, 58(1), 29–43. https://doi.org/10.1002/j.2161-0045.2009.tb00171.xFuesting, M. A., Diekman, A. B., & Hudiburg, L. (2017). From classroom to career: The unique role of communal processes in predicting interest in STEM careers. Social Psychology of Education: An International Journal, 20(4), 875–896. https://doi.org/10.1007/s11218-017-9398-6Haley, K. J., Jaeger, A. J., & Levin, J. S. (2014). The influence of cultural social identity on graduate student career choice. Journal of College Student Development, 55(2), 101–119. https://doi.org/10.1353/csd.2014.0017Hernandez, E. F., Foley, P. F., & Beitin, B. K. (2011). Hearing the call: A
specifically invited to participatein the events, though all people were welcome. Invitations for the events were sent out 1-3 weeksbefore each event through graduate college newsletters and with the help of staff graduatecoordinators and student volunteers from each department. Flyers were also put up on noticeboards in the engineering buildings. Three surveys were conducted throughout the program: onejust after the first event in the series, one at the end of the Fall 2022 semester, and the last one atthe end of the Spring 2023 semester.The program targeted three categories of intervention: belonging (B), advice and support (A), andskills and opportunities (S). The belonging intervention sought to promote a feeling of belongingin the participants
community collegestudents in engineering, with the hopes that we can begin the process of bridging the gap betweenthe two institution types starting with retention. References[1] American Society for Engineering Education. (2022). Profiles of Engineering and Engineering Technology, 2021. Washington, DC.[2] Hankey, M. S. , Burge, P. L., Knight, D. B., Seidel, R. W.,& Skaggs, G. (2019). Community college engineering student’s perceptions of classroom climate and fundamental engineering skills. Community College Journal, 43(7), 494-504.[3] Chubin, D., May, G. S., & Babco, E. L. (2005). Diversifying the Engineering Workforce. Journal of Engineering Education (Washington, D.C.), 94(1
. & Beddoes, K. (2022a). Mental Health in Engineering Education: Identifying Population and Intersectional Variation. IEEE Transactions on Education, 65(3), 257-266.Danowitz, A., & Beddoes, K. (2022b). How the COVID-19 Pandemic Reshaped Demographic Variation in Mental Health Among Diverse Engineering Student Populations. Australasian Journal of Engineering Education, 27(2), 67-76.Danowitz, A. & Beddoes, K. (2023). A Longitudinal Study of Mental Health During the COVID- 19 Pandemic. American Society for Engineering Education Annual Conference, Baltimore, MD.Eisenberg, D., Golberstein, E., & Gollust, S. E. (2007). Help-Seeking and Access to Mental Health Care in a University Student Population
experience. As AI tools become more sophisticated, instructors mayhave to share their teaching loads with AI tools and in some cases, AI tools may perform betterthan human teachers. Future AI tools may use effective innovations in teaching that are hard forhumans to replicate. Humans adapted to changes adequately in the past; rapid changes in AI willcontinue to pose challenges that can be serious.References[1]. S. D’Agostino, “Machines Can Craft Essays. How Should Writing Be Taught Now?” Inside Higher Ed, Oct 26, 2022 [Online] Available: Inside Higher Ed, https://www.insidehighered.com/news/2022/10/26/machines-can-craft-essays-how-should- writing-be-taught-now. [Accessed Dec 6. 2022].[2]. S. Marche “The College Essay is Dead,” The
," Journal of Vocational Behavior, vol. 77, no. 3, pp. 361–373, 2010.[8] ADC, "Anti-Discrimination Committee: Facts about Arabs and the Arab World," 2021. [Online]. Available: www.adc.org[9] Arab World Statistics, "Arab world - total population 2011-2021," Statista, 2021. https://www.statista.com/statistics/806106/total-population-arab-league/ (accessed Nov. 28, 2022).[10] UNESCO, "UNESCO Institute of Statistics (2019). Retrieved from http://data.uis.unesco.org," 2019.[11] S. I. Islam, "Science, Technology, Engineering and Mathematics (STEM): Liberating Women in the Middle East.," World Journal of Education, vol. 9, no. 3, pp. 94–104, 2019.[12] L. J. Kemp, N. Ahmad, L. Pappalardo, and A. Williams, "Career calling: women STEM
fill-in map developed by the instructor(s)or researcher(s) [9,10]. Fill-in concept maps may be more appealing to instructors due to a perceived decrease incognitive load for the student and workload for both the student and instructional team, but littleresearch has been conducted looking into how a fill-in concept map should best be assessed. Thislack of research prompted an adaptation of the prominent unstructured concept map scoringmethods to a fill-in map. Very little analysis has been done as to how a fill-in concept map couldbe most adequately assessed, and whether different methods may be more applicable in variouscircumstances. Therefore, the primary goal of this study was to analyze these adaptations of theprominent concept map
Czechia. He is also the coordinator for an NSF S-STEM program to prepare students for gateway courses across different disciplines of engineering to support and retain students in these disciplines. His research focuses on techniques to collect and analyze the electrical impedance of biological tissues and their potential applications.Memorie Gosa Memorie M. Gosa, PhD, CCC-SLP, BCS-S is a pediatric speech-language pathologist, board certified specialist in swallowing and swallowing disorders, and associate professor and Chair of the Communicative Disorders Department at The University of Alabama. She has more than twenty years of clinical experience in pediatric dysphagia. Her research focuses on exploring the
. ed.). 2007.8. Paolo D, Maria Chiara C, Antonella B, Arianna M. Micro-systems in biomedical applications. Journal of Micromechanics and Microengineering. 2000/06/01 2000;10(2):235. doi:10.1088/0960-1317/10/2/3229. Malinowski A, Yu H. Comparison of Embedded System Design for Industrial Applications. IEEE Transactions on Industrial Informatics. 2011;7(2):244-254. doi:10.1109/TII.2011.212446610. Ravi S, Raghunathan A, Chakradhar ST. Tamper resistance mechanisms for secure embedded systems. 17th International Conference on VLSI Design Proceedings. 2004:605- 611.11. Kopetz H. The Complexity Challenge in Embedded System Design. 2008:3-12.12. Sharma A. Advanced Semiconductor
haveresulted in different design artifacts.4.2 Design Solutions + IterationsIn RtD, an artifact is designed and the rationale behind design decisions is used to create newknowledge. In HCI RtD studies, the artifact of design is often an object - a music player, awearable, or a piece of furniture - that prompts a new form of interaction. For us, we focused onthe design of learning environments - in particular the design and iteration of two specificundergraduate courses. At the beginning of our research inquiry, we focused on the course as adesign artifact. In our reflection meetings smaller designed artifacts emerged as a focus due tothe size and complexity of looking at the entire course as a designed object. For example, onefocus of Author 1's
majority of lab experience in LU’s IE curriculum occursduring the first two years in chemistry and physics that is not part of the 2+2 online program.After the 2nd year, a single weekend lab is used for our material process lab where studentsmake a hammer in our machine shop. The Work Design lab is mostly observational studies thatcan be conducted offsite. Computer aid manufacturing and automation labs are software based.Another challenge is students having consecutive multi-semester internship, co-ops and full-timeemployment where they take classes part time that extends the average time to graduation andcomplicates reporting program effectiveness including NSF S-STEM grant effectiveness. Highperforming students tend to take longer than 4 years
3 Jung Typology Extrovert (E) 2 9 5 Introvert (I) 7 8 4 Sensing (S) 1 7 4 Intuition (N) 8 10 5 Thinking (T) 4 12 8 Feeling (F) 5 5 1 Judging (J) 7 15 5 Perceiving (P) 2
and students of different disciplines and nationalities," in Proceedings of the 2018 ASEE Zone IV Conference, Boulder CO, 2018.[10] N. Kathryn, "The Engineering in the Museum: Helping Engineering Students Experience Technology as Art," in Proceedings of the ASEE 1996 Annual Conference and Exposition, Washington DC, 1996.[11] A. Rose and V. Grash, "Interaction of Engineering Technology and Fine Arts Through Instructor Collaboration," in Proceedings of the ASEE 2005 Annual Conference and Exposition, Portland OR, 2005.[12] L. Yu and F. Abarca, "ElectrizArte, combining engineering and arts," in Proceedings of the 2012 Interdisciplinary Engineering Design Education Conference, 2012.[13] S. Burkett and C. Snead, "Picasso's
instruction, and face-to-face instruction," Computers & education, vol. 55, no. 2, pp. 733-741, 2010.[2] L. Kinney, M. Liu and M. A. Thornton, "Faculty and student perceptions of online learning in engineering education," in 119th ASEE Annual Conference and Exposition, 2012.[3] P. Panindre and R. S. Thorsen, "Assessment of Learning Effectiveness in Online and Face- to-Face Learning Environment for Engineering Education," in ASEE Annual Conference Proceedings, 2020.[4] S. Papanikolaou, "E-Learning and Assessment in the Cloud: Engineering Courses," in ASEE Annual Conference Proceedings, 2020.[5] R. Zaurin, S. D. Tirtha and N. Eluru, "A Comparison between Mixed-Mode and Face-to- Face Instructional Delivery Approaches for
world we live in.Joseph Carl PriceCol. Aaron T. Hill Jr., United States Military Academy Colonel Aaron Hill is an Assistant Professor and Design Group Director in the Department of Civil & Mechanical Engineering at the United States Military Academy, West Point, New York. He holds a Bachelor of Science degree from West Point, a Master of Science degree in Engineering Management from Missouri S&T, a Master of Science degree in Civil Engineering from Virginia Tech, and a PhD in Civil Engineering from The University of Texas at Austin. Aaron has served in the military for 23 years as an Engineer Officer with assignments around the world to include Afghanistan, Egypt, and Bosnia- Herzegovina. He is a licensed
engineering population of the United States. While the institutionsused in this study share common matriculation practices, all institutions of the same type are notnecessarily identical to each other. For example, some institutions offer majors not availableelsewhere and some may have enrollment criteria for specific engineering majors that exceed therequirements for engineering at large.AcknowledgementThis material is based upon work supported by the National Science Foundation (NSF) underGrant No. 1545667. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NSF.References[1] A. Theiss, J. E. Robertson, R. L. Kajfez, K. M. Kecskemety, and
package [12]. JuMP and the Julia language allowed for very straightforward dataprocessing, and problem setup. Once the appropriate 𝑐𝑐, 𝑠𝑠, 𝑠𝑠, 𝑟𝑟, and 𝑟𝑟 constants are created basedon the survey data, the problem above can be expressed using the following JuMP code:opt = Model()@variable(opt, x[1:n_groups, 1:n_projects], Bin)@objective(opt, Min, sum(c.*x))for i in 1:n_groups @constraint(opt, sum(x[i, :]) == 1) # constraint (3)endfor j in 1:n_projects @constraint(opt, s̲ <= s'*x[:,j] <= 𝑠𝑠̅) # constraint (4) @constraint(opt, r*x[:,j] .>= ̲r[:, j]) # constraint (5)endThe Gurobi solver was able to find optimal
completing the course, student will be able todemonstrate their factual and conceptual knowledge about the data visualization process: 1. The basic stages for visualizing data. 2. What happens in each stage of the visualization process. 3. What stages are likely to initiate the iterative nature of the process. 4. Different techniques used to better understand data.After completing the course, students will be able to demonstrate the following proceduralknowledge: 1. Demonstrate actions to acquire data. 2. Demonstrate the ability to change raw data into a useful format for further processing. 3. Implement procedure(s) to extract data of interest from a larger dataset. 4. Choose the appropriate visualization chart for
development. He currently is working with Dr. Kirti M. Yenkie to explore different teaching methodologies to strengthen the understanding of theoretical concepts for undergraduate students.Miss Swapana Subbarao Jerpoth, Rowan University Swapana S. Jerpoth received her B.Tech degree in Chemical Engineering from Priyadarshini Institute of Engineering and Technology, India in 2017, and her M.Tech degree in Petrochemical Engineering from Laxminarayan Institute of Technology, India in 2019. She joined as a Ph.D. student in the Chemical Engineering Department, Rowan University in 2019 and is currently working under the supervision of Dr. Kirti M. Yenkie. Swapana’s current research interests include sustainable process design and
from other backgrounds.Citations[1] A. Prescott and M. Hellst en, “Hanging together even with non-native speakers: The international studenttransition experience,” in Internationalizing higher education. Springer, 2005, pp. 75–95.[2] J. Wang, “A study of resiliency characteristics in the adjustment of international graduate students at americanuniversities,” Journal of Studies in International Education, vol. 13, no. 1, pp. 22–45, 2009.[3] S. L. McKay, Teaching English as an international language: Rethinking goals and perspectives. New York:Oxford University Press, 2002.[4] R. B. Burns, “Study and stress among first-year overseas students in an australian university,” Highereducation research and development, vol. 10, no. 1, pp. 61–77, 1991
= orange, > 1.05 = green), making it easy to find low and high performers. The ‘Delta’column highlights when individuals have a mismatch between self and peer assessment, greaterthan 0.05. This threshold of 0.05 can be adjusted by the user to prioritize instructor feedback torealign self-perception with peer evaluation. Table 6: Student Y, First Team Leader Rotation Student Y Name L E A D E R S w/ self w/o self Delta Cmt Y 5 5 5 4 4 4 4 0.955 0.872 -0.083 Rated self high G 5 4 5 4 5 5 5 0.996 0.986 -0.010 H 4 4 4 4 4 4 4 0.933 0.942 0.009
Paper ID #33968Mass-scale Online Synchronous Entrepreneurship Education for EngineersProf. Ranji K. Vaidyanathan, Oklahoma State University Dr. Ranji Vaidyanathan is presently the Varnadow Professor of Materials Science and Engineering at the Helmerich Research Center at OSU Tulsa. He was previously the Director of the New Product Develop- ment Center (NPDC) and the Inventors Assistance Service (IAS) at Oklahoma State University. Dr. Vaidyanathan has eighteen U. S. patents and twenty-two pending patent applications. He has de- veloped six different products from concept stage to commercial stage including a product