undergraduate students, and it cancontribute to enhancing their academic and professional goals.References[1] J. K. Petrella and A. P. Jung, “Undergraduate research: Importance, benefits, and challenges,” International journal of exercise science, vol. 1, no. 3, p. 91, 2008.[2] H. Thiry, S. L. Laursen, and A.-B. Hunter, “What experiences help students become scientists? a comparative study of research and other sources of personal and professional gains for stem undergraduates,” The Journal of Higher Education, vol. 82, no. 4, pp. 357– 388, 2011.[3] J. Kinkead, “Advancing undergraduate research: Marketing, communications, and fundraising,” 2011.[4] O. A. Adedokun, M. Dyehouse, A. Bessenbacher, and W. D. Burgess, “Exploring faculty
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., ... & Tseng, V. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLoS digital health, 2(2), e0000198.Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries? Library Hi Tech News.McCoach, D. B., Gable, R. K., & Madura, J. P. (2013). Instrument development in the affective domain (Vol. 10, pp. 978-971). New York, NY: Springer.Nair, M., Sadhukhan, R., & Mukhopadhyay, D. (2023). Generating Secure Hardware using ChatGPT Resistant to CWEs. Cryptology ePrint Archive.Ngo, T. T. A. (2023). The perception by university students of the use of ChatGPT in education. International Journal of Emerging Technologies in Learning
students’ experiences of support mechanisms to enhance wellbeing on an engineering programme in the UK,” Eur. J. Eng. Educ., vol. 0, no. 0, pp. 1–16, 2020, doi: 10.1080/03043797.2020.1835828.[2] B. J. Sottile, L. E. Cruz, Y.-A. Lo Burleson, and K. Mclain, “It’s About Time: An Analysis of Student Activities Under Remote Learning,” 2021, [Online]. Available: https://peer.asee.org/37412.[3] J. Armstrong, “Workload in Engineering Courses and How To Reduce It,” 1996, [Online]. Available: https://aaee.net.au/wp- content/uploads/2020/07/AAEE2019_Annual_Conference_paper_72.pdf.[4] S. Mansouri, M. Wai, J. Li, and J. Lamborn, “A quantitative method to evaluate student workload,” in Proceedings of the
cognitive style and risk preference on entrepreneurial self-efficacy and entrepreneurial intentions. Journal of Leadership & Organizational Studies, 13(4), 86–104.Besterfield-Sacre, M., Zappe, S., Shartrand, A., & Hochstedt, K. (2016). Faculty and Student Perceptions of the Content of Entrepreneurship Courses in Engineering Education. Advances in Engineering Education, 5(1), n1.Chen, G.C., Greene, P.G., & Crick, A. (1998). Does entrepreneurial self-efficacy distinguish entrepreneurs from managers. Journal of Business Venturing, 13, 295–317.Cropley, D. H. (2016). Creativity in engineering (pp. 155-173). Springer Singapore.Da Silva, G. B., Costa, H. G., & De Barros, M. D. (2015). Entrepreneurship in
aLikert scale of 1 to 9, with 1 being “No Familiarity” and 9 being “Mastery”. They are alsoasked to assess their overall understanding of the high-level module.Instructors also completed the knowledge survey based on their expectations of studentknowledge both pre and post course. Instructor averages were used as a criterion comparison forstudent scores [21].Limitations Owning Intellectual Humility Survey (Appendix B)Students completed the Haggard Intellectual Humility Scale [19] through the course Canvas site.The twelve-item survey addresses three sub-constructs, four questions each: Love of Learning,Appropriate Discomfort with Intellectual Limitations, and Owning One's Own IntellectualLimitations. Likert scale responses ranged from 1 to 9, with
theirexpectancy of success, which is the main instructional method in this research. The surveyquestions split motivational factors into (a) intrinsic goal orientation, (b) extrinsic goal orientation,and (c) task value. Learning strategies can be categorized into more specific groups, includingcognitive methods such as rehearsal, organization, and critical thinking. Students may expectsuccess in different forms based on their motivations, which can be associated with their self-efficacy and self-regulation. The overarching research question is, what are the associationsbetween undergraduate engineering students' motivation and learning strategies? This studycollects data from a single engineering discipline from thirty-five undergraduate
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., Kavale, S. M., & Carberry, A. R. “Situating intuition in engineering practice,”Journal of Engineering Education, vol. 112, no. 2, pp. 418–444, Mar., 2023, doi:10.1002/jee.20521 [4] D. Jonassen, J. Strobel, and C. B. Lee, “Everyday Problem Solving in Engineering: Lessons for Engineering Educators,”Journal of Engineering Education, vol. 95, no. 2, pp. 139-151, Jan. 2013, doi: 10.1002/j.2168-9830.2006.tb00885.x [5] I. D. L. Ríos, A. Cazorla, J. M. Díaz-Puente, and J. L. Yagüe, “Project–based learning in engineering higher education: two decades of teaching competences in real
Values, vol 39, no. 1, pp. 42-72, http://www.jstor.org/stable/43671164[10] V. V. Bracho Perez, A. Nuñez Abreu, A. A. Khan, L. E. Guardia, I. M. Hasbún, and A. C. Strong, “Mechanical Engineering Students’ Perceptions of Design Skills Throughout a Senior Design Course Sequence,” 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference, http://doi.org/10.18260/1-2--36523[11] D. B. de Campos, L. M. M. de Resende, and A. B. Fagundes, “The Importance of Soft Skills for the Engineering.”, Creative Education, vol. 11, pp. 1504-1520, 2020, https://doi.org/10.4236/ce.2020.118109[12] J. Saldaña, The Coding Manual Qualitative Researchers (3rd ed.). SAGE Publications Inc., 2016
%. Some students wereenrolled in multiple classes, so we separate responses for each of the different courses in which eachstudent enrolled. Restricting to CSE majors, there are 660 CSE majors who responded at least once in atleast one their courses, of a total enrollment of 732 CSE majors among these courses, a 90% responserate.We use demographic categories based on the available institutional metrics and categories. Race/ethnicityis reported as “Asian/Asian-American” (A), “Black or African-American” (B), “Hispanic, Chicano, Latinoor Spanish” (H), “White/Caucasian” (W), “Not Given or Decline to State” (D). The number of AmericanIndian/Alaska Native respondents was too low to report without risk of re-identification. Gender is reportedas Female
ways limited, by our experiences as white individuals inthe United States.Project OverviewThis IRB-approved, NSF-funded research project included ten focus groups of students who self-identified as neurodivergent and were pursuing advanced degrees in STEM disciplines at an R1university in the Northeastern United States. Recruitment took place via an email that was sharedthrough a listserv for all graduate students and an email from the university’s disability servicesoffice. The focus group participants a) self-identified as neurodivergent, and b) indicated thatthey were completing a graduate degree in a STEM field. Degree programs were classified asSTEM programs based on the university’s list of STEM majors and/or their inclusion on the
Paper ID #38076Interest-Driven Major Pathways for Mid-Program Undergraduate Engineer-ingStudentsMs. Kelsey Louise Scalaro, University of Nevada, Reno Kelsey Scalaro is a doctoral candidate at the University of Nevada, Reno. Her emphasis is on undergrad- uate engineering student identity development with a dissertation focusing on how students access and interpret the recognition of their engineering identities. She seeks to leverage her B.S. and M.S. in me- chanical engineering along with her five years of aerospace industry experience to design project oriented classes that equitably support engineering identity
,” New Technol Work Employ, pp. 1–20, Dec. 2021, doi: 10.1111/ntwe.12226.[2] R. Stevens, A. Johri, and K. O’Connor, “Professional engineering work,” in Cambridge Handbook of Engineering Education Research, A. Johri and B. M. Olds, Eds. New York, NY, USA: Cambridge University Press, 2014, pp. 119–138. doi: 10.1017/CBO9781139013451.010.[3] B. Williams and J. Figueiredo, “Engineering practice as an emerging field of inquiry: A historical overview,” in 2016 ASEE Annual Conference & Exposition Proceedings, New Orleans, LA, USA, Jun. 2016, pp. 1–12. doi: 10.18260/p.26660.[4] G. Kunda, Engineering culture: Control and commitment in a high-tech corporation, 2nd ed. Philadelphia, PA, USA: Temple University Press, 2006.[5
Paper ID #43991Examining Students’ Beliefs on the Use of ChatGPT in EngineeringMohammad Faraz Sajawal, University of OklahomaDr. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Oklahoma. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics Engineering and a Master’s in Power Systems from India in 2011 and 2014, respectively. He has worked with Tata Consultancy Services as an Assistant Systems Engineer from 2011–2012 in
testing the test was split into subtests A and B (each comprising half of theoriginal 25 TMCT items) of equal difficulty. One item was eliminated from the selection due toits excessive difficulty among preliminary testing participants. Thus two distinct TMCT formswere developed from this work.Population A total of 196 BLV participants took the TMCT from 2018-2022. 178 participants chosethe tactile graphics format answer sheets, and 18 used large print. Data on the participants'gender was not collected. Each participants’ age was not specifically requested, however allparticipants were between the ages of 14 and 65+. The pre-COVID-19 data comes from 119participants who took the TMCT between July 2018 and early March 2020 before the onset
., Roy, P., & Zaidman, B. (1986). Oral interaction incooperative learning groups: speaking, listening, and the nature of statements made by high-,medium-, and low-achieving students. The Journal of Psychology, 119(4), 303–321.[6] Jassawalla, A., Sashittal, H., & Malshe, A. (2009). Students’ perceptions of social loafing:It’s antecedents and consequences in undergraduate business classroom teams. Academy ofManagement Learning and Education, 8, 42–54.[7] Felder, R. M., & Brent, R. (2016). Teamwork skills. In Teaching and Learning STEM: APractical Guide (pp. 245–269). John Wiley & Son.[8] Jaiswal, A., Karabiyik, T., Thomas, P., & Magana, A. J. (2021). Characterizing teamorientations and academic performance in cooperative
Statistics. Retrieved July 8, 2023, from https://nces.ed.gov/programs/digest/d22/tables/dt22_311.15.asp 5. Heyman, E. (2010). Overcoming student retention issues in higher education online programs: A Delphi study. University of Phoenix. 6. Christensen, G., Steinmetz, A., Alcorn, B., Bennett, A., Woods, D., & Emanuel, E. (2013). The MOOC phenomenon: Who takes massive open online courses and why? Available at SSRN 2350964. 7. Bawa, P. (2016). Retention in online courses: Exploring issues and solutions—A literature review. Sage Open, 6(1), 2158244015621777. 8. Brunhaver, S., Bekki, J., Lee, E., & Kittur, J. (2019, March). Understanding the factors contributing to persistence
the number of times students viewed discussion posts and their final courseperformance. A closer look reveals that the student who viewed discussion threads over 1500times scored decently well in the course. Furthermore, many students who did not perform wellseem to be on the lower side of views made. Despite this, the results are inconclusive enough toclaim that high participation guarantees success.Unlike Figure 1a, Figure 1b has a slightly positive linear relationship between the number of daysstudents are active on Ed Discussion and their final performance. It is interesting to note that the (a) ECE 550 discussion threads viewed. (b) ECE 550 Days Active. (c) ECE 550
, no. 10, p. ajpe8906, Dec. 2022, doi: 10.5688/AJPE8906.[7] M. Staples, “Personalized Feedback: Testing a Tutoring System That Was Informed by Learning Analytics,” Instructional Psychology and Technology Graduate Student Projects, Jun. 2019, Accessed: Mar. 09, 2024. [Online]. Available: https://scholarsarchive.byu.edu/ipt_projects/19[8] J. Liu, W. Tang, X. He, B. Yang, and S. Wang, “Research on DINA Model in Online Education,” Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 340, pp. 279–291, 2020, doi: 10.1007/978-3-030- 63955-6_24.[9] J. de la Torre, “The Generalized DINA Model Framework,” Psychometrika, vol. 76, no. 2, pp. 179–199, 2011, doi: 10.1007
(Kenyatta University, Kenya), a M.A. in Special Education (WVU), and Ed.D. in Curriculum and Instruction (WVU).Prof. Hyoung Jin Cho, University of Central Florida Professor Hyoung Jin Cho is the Associate Chair of the Department of Mechanical and Aerospace Engineering at the University of Central Florida. He is in charge of coordinating two undergraduate programs – B. S. Mechanical Engineering and B. S. Aerospace Engineering. He has published over 130 peer-reviewed journal and proceeding papers and has 12 and 6 patents granted in the U.S. and Korea, respectively, in the areas of sensors, microfluidic devices, and micro/nanofabrication. His current research focus is on miniaturized environmental sensors and sample
and tensile tests. Students were provided with 5 samples of 70/30 brass, prepared duringprevious laboratories: one as control, one cold worked, and three cold worked after heattreatment. Samples were subjected to a Rockwell B hardness test, a Vickers hardness test, and atensile test. The instructor also assessed this laboratory using short-form questions, provided inAppendix B.Survey responses were analyzed for themes associated with both positive and negative laboratorylearning experiences using qualitative content analysis [19]. This method is used to analyzewritten or other works that are subjective in nature, such as surveys or interview transcripts. Thecoding process was conducted solely by the primary author, Mackinley Love.The work
Paper ID #41597Assessing Critical Thinking in Computer and Software Engineering CoursesDr. Mohammad Shokrolah Shirazi, Marian UniversityHung-fu Chang ©American Society for Engineering Education, 2024Assessing Critical Thinking in Computer and Software EngineeringCoursesMohammad Shokrolah Shirazi a and Hung-Fu ChangbE. S. Witchger School of Engineering, Marian University, Indianapolis, IN, USAa ; b R.B.Annis School of Engineering, University of Indianapolis, IN, USA ABSTRACT Critical thinking is a crucial component of effective
, doi: 10.1146/annurev.soc.28.110601.141117.[10] F. Chiacchio, M. Pennisi, G. Russo, S. Motta, and F. Pappalardo, “Agent-based modeling of the immune system: NetLogo, a promising framework,” Biomed Res Int, vol. 2014, 2014, doi: 10.1155/2014/907171.[11] B. Ambale-Venkatesh et al., “Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis,” Circ Res, vol. 121, no. 9, pp. 1092–1101, Oct. 2017, doi: 10.1161/CIRCRESAHA.117.311312/-/DC1.[12] W. Rand and R. T. Rust, “Agent-based modeling in marketing: Guidelines for rigor,” International Journal of Research in Marketing, vol. 28, no. 3, pp. 181–193, Sep. 2011, doi: 10.1016/J.IJRESMAR.2011.04.002.[13] D. M. Auslander, “Distributed
still, if I want to hang out with my friends, I can do that because I have the time to do so.”He talks about several microsystems where he remains active, such as his “life outside of work”and “to hang out with his friends. Because both of these microsystems involve Darius, this placesBar B as aspirational capital in his mesosystem.Bar C displays aspirational capital in the exosystem, at the middle green layer. When Darius wasasked about his future career goals, he began to describe how and when he initially switchedmajors from an applied engineering technology degree to a “straight” electrical engineeringdegree: That’s when I switched to just straight Electrical Engineering because I want to be the top guy in-charge, not like
-self-advocate-the-pros-and-cons-of-person-fi rst-and-identity-first-languageSaldaña, J. (2016). The coding manual for qualitative researchers, 3E (3rd ed.). SAGE Publications.Tracy, S.J. (2010). Qualitative Quality: Eight ‘Big-Tent’ Criteria for Excellent Qualitative Research. Qualitative Inquiry, 16(10), 837-851.True-Funk, A., Poleacovschi, C., Jones-Johnson, G., Feinstein, S., Smith, K., & Luster-Teasley, S. (2021). Intersectional engineers: Diversity of gender and race microaggressions and their effects in engineering education. Journal of Management in Engineering, 37(3).Wilkins-Yel, K. G., Arnold, A., Bekki, J., Natarajan, M., Bernstein, B., & Randall, A. K. (2022). “I can't push off my own
L. R. de Bruin, “Secondary school creativity, teacher practice and STEAMeducation: An international study,” Journal of Educational Change, vol. 19, no. 2, pp. 153–179,Dec. 2017, doi: https://doi.org/10.1007/s10833-017-9311-2.[4] C. P. Sarmiento, M. P. E. Morales, L. E. Elipane, and B. C. Palomar, “Assessment practicesin Philippine higher STEAM education,” Journal of University Teaching and Learning Practice,vol. 17, no. 5, pp. 286–301, Dec. 2020, doi: https://doi.org/10.53761/1.17.5.18.[5] N. Wannapiroon and P. Pimdee, “Thai undergraduate science, technology, engineering,arts, and math (STEAM) creative thinking and innovation skill development: a conceptual modelusing a digital virtual classroom learning environment,” Education and
,” Eur. J. Eng. Educ., vol. 35, no. 3, pp. 247–257, 2010, doi: 10.1080/03043791003703177.[15] V. Kant and E. Kerr, “Taking Stock of Engineering Epistemology: Multidisciplinary Perspectives,” Philos. Technol., vol. 32, no. 4, pp. 685–726, 2019, doi: 10.1007/s13347- 018-0331-5.[16] A. K. Kramer, “Thinking Like an Engineer: Interrogating the Epistemic Hierarchy of a Professional Engineering Community of Practice,” The Ohio State University, 2022.[17] S. Zwart, “Engineering Epistemology: Between Theory and Practice,” Eng. Stud., vol. 14, no. 2, pp. 79–86, 2022, doi: 10.1080/19378629.2022.2124025.[18] B. S. Benedict, D. Verdín, R. A. Baker, A. Godwin, and T. Milton, “Uncovering latent diversity: Steps
in engineering [2].ChatGPT, developed by Open AI and launched in November 2022 [3], is one of the most popularand accessible LLM chatbots on the market today. ChatGPT in its current state is particularlygood at providing context-based answers to questions, writing, editing, and coding [4], [5].However, some of its limitations include potential bias in its training data, a lack of up-to-dateknowledge, and generating made-up or “hallucinated” information including source citations [6].Due to the accessibility and usefulness of GenAI products, engineering students need to acquireliteracy in AI technology, which includes (a) understanding basic functions of AI, (b) using andapplying AI in a variety of contexts, (c) evaluating and creating AI
ocess as aut hor i al a n d i nn ovat i ve , which m e anst h at t her e i s no pre-defined process, with its stages and markers, prior to the beginning of the implementation. This factmaterializes in the way coordinators are i n v o l v e d i n the implementation through a formativeprocess that, at the same time as it develops t h e m a n a g e r i a l c o m p e t e n c i e s o f t h o s e w h ow i l l b e r e s p o n s i b l e f o r managing learning management on a day-to-day basis, makes room forthe construction of t h e p r o c e s s i n t h e i n s t i t u t i o n . T h u s , c o o r d i n a t o r s a r ei n v o l v e d n o t o n l y i n the implementation of a process but also in its construction. In the stage presented in this