seasoned instructor. Thefinal letter grade of each of the 132 students who completed the course during the study periodwas recorded for analysis, and the pre- and post-treatment grade distributions are illustrated inFigure 1. No A+ or D- is awarded at the institution. For the purpose of DiD statistical analysis,the grades were converted from letters to a 4.00 grade scale based on the matrix in Table 2.Figure 1: Student final grade distribution in Machine Learning during the years the study period.Table 2. Matrix converting letter grades to numerical grades. A A- B+ B B- C+ C C- D+ D F 4.00 3.67 3.33 3.00 2.67 2.33 2.00
using Entrepreneurial Mindset. 2024 [cited 2024 January]; Available from: https://engineeringunleashed.com/card/3939.19. Faber, C., C. Smith-Orr, C. Bodnar, A. Coso Strong, W. Lee, and E. McCave. Best Practices for Developing a Virtual Peer Mentoring Community. in ASEE Annual Conference proceedings. 2017. DOI: https://peer.asee.org/2765520. McKenna, A., A.M. Johnson, B. Yoder, R.C. Chavela Guerra, and R. Pimmel, Evaluating virtual communities of practice for faculty development. The Journal of Faculty Development, 2016. 30(1): p. 31-40. DOI: https://www.ingentaconnect.com/content/magna/jfd/2016/00000030/00000001/art0000521. Farrell, S., S.J. Krause, N. Ruzycki, A.L. Genau, B. Nelson-Cheeseman, C.A
others, which areessential for success in the 21st century and necessary for the Fourth Industrial Revolution[24]. In addition, integrating STEM into the school curriculum contributes to creating newsolutions to social problems, improving people’s quality of life, and facing challenges suchas climate change for a more sustainable world and social development [25].B. Inclusive classroomInclusive education requires Information and Communication Technologies (ICTs) to ensureaccess to quality education and to overcome social, economic, and cultural barriers [26]. ICTsin inclusive learning spaces eliminate barriers between teacher and student because theyfacilitate interaction for students with special educational needs and make teaching moreflexible
same time, many students mayFigure 1: (Left) Example end-of-semester devices from the 2023 offering of the course. (a) a body-powered prosthetic thumb distal phalanx; (b) a wearable petri dish fixture; (c) a heated pen; (d) avibrotactile feedback system with thumb shield; (e) a belay hook prosthetic for adaptive climbing;(f) a spring-loaded wrist brace; (g) a wrist- and shoulder-driven adaptive bike braker and shifter;(h) a motorized stand for detailed model painting. (Right)(i) Student response to the question:“Did you physically realize a product that the need-knower can take home and use on a daily basisin its current realization stage?”still overestimate the immediate utility of what they generated. This outcome was socontradictory to the
Learning Analytics,” Learning Analytics, pp. 61–75, 2014, doi: 10.1007/978-1-4614-3305-7_4.[7] N. Kardam, S. Misra, and D. Wilson, "Is Natural Language Processing Effective in Education Research? A case study in student perceptions of TA support," presented at the 2023 ASEE Annual Conference & Exposition, 2023. [Online]. Available: https://peer.asee.org/43887[8] Katz, M. Norris, A. M. Alsharif, M. D. Klopfer, D. B. Knight, and J. R. Grohs, “Using Natural Language Processing to Facilitate Student Feedback Analysis,” in 2021 ASEE Virtual Annual Conference. Content Access, July 26-29, 2021. [online]. Available: https://peer.asee.org/using-natural-language-processing-to-facilitate-student-feedback
entries and generated codes independently, beforecollaborating and negotiating meaning of a finalized set of codes. The codes were grouped intofour main themes: identity, traits, support behaviors, and outcomes. Identity was furthersubdivided into: core values, motivations, career, and relationship. Both authors independentlyblind-coded the data entries with the finalized set of codes.4 Findings and DiscussionThe analysis examined 331 excerpts categorized by 56 distinct codes. Generated codes wereremoved if they were applied to less than three instances or did not contribute additionalmeaning to the emergent themes, resulting in 43 finalized codes (Appendix B). Half of the dataentries are from the perspective of the primary node, who was also
Paper ID #42095Board 192: A Support System for Low-Income Students to Catalyze Diversityand SuccessDr. Kaitlin Mallouk, Rowan University Kaitlin Mallouk is an Associate Professor of Experiential Engineering Education at Rowan University. Prior to beginning that role, she spent five years an Instructor in the Mechanical Engineering and Experiential Engineering Education Departments at Rowan.Dr. Juan M Cruz, Rowan University Juan M. Cruz is an assistant professor in the Experiential Engineering Education Department at Rowan University. He has a B.S. in Electronic Engineering and a Masters in Education from Universidad
supported by the National Science Foundation through the HSI - ImprovingUndergraduate STEM Education (IUSE) Program. Award # 2247689. References[1] M. Newsome, “Even as colleges pledge to improve, share of engineering and math graduates who are Black declines”, The Hechinger Report, 2021.[2] New Mexico State University (NMSU), “Factbooks”, 2021. [Online]. Available: https://oia.nmsu.edu/nmsudata/factbooks.html [Accessed Nov 15, 2023].[3] New Mexico State University (NMSU), “Klipsch School of Electrical and Computer Engineering enrollment”, 2022.[4] K. Atkins, B. M. Dougan, M. S. Dromgold-Sermen, H. Potter, V. Sathy, and A. T. Panter, ““Looking at myself in the future”: how mentoring
feedback was provided for the new Seminars on “Writing, Speaking, andClassroom Movement,” “Introduction to Active Learning,” and “Creating a Civil Classroom.”Thematic comments from the ETW staff indicated that the new seminars were found to beeffective for both their content and time duration. A recurring comment in terms of improvingthose specific seminars suggested that a larger number of ETW staff needed to become familiarand confident with the new seminar content and activities. For example, the new Seminar on“Creating a Civil Classroom” was praised by ETW staff for incorporating DEI principles, yetETW staff noted that not all ETW staff are ready to deliver such a seminar without considerablepreparation.4.3.2.b Demo ClassesETW staff reported
groups. Does this differ by demographics?Measurable Outcomes Objectives Method TargetA. Graduation. A minimum of 18 scholarship Track CAM scholars who 18 graduates;recipients will graduate with a bachelor’s degree graduate in ME or CIVE (50%).in engineering or computer science by the end of vs. comparison group, track 13 still enrolled inyear five. (13 will still be enrolled) years to graduation. STEM (36%).B. Retention and matriculation. Retention and Track ME/CIVE 31 scholars willmatriculation rates of scholarship recipients will persistence and persist or graduateshow an increase from the departmental
Paper ID #41210Data-Science Perceptions: A Textual Analysis of Reddit Posts from Non-ComputingEngineersMr. Nicolas Leger, Florida International University Nicolas L´eger is currently an engineering and computing education Ph.D. student in the School of Universal Computing, Construction, and Engineering Education (SUCCEED) at Florida International University. He earned a B.S. in Chemical and Biomolecular Engineering from the University of Maryland at College Park in May 2021 and began his Ph.D. studies the following fall semester. His research interests center on numerical and computational methods in STEM education and in
Engineering Macroethics Issues and Education,” in 2022 IEEE Frontiers in Education Conference (FIE), Uppsala, Sweden: IEEE, Oct. 2022, pp. 1–5. doi: 10.1109/FIE56618.2022.9962654.[18] J. R. Herkert, “Engineering ethics education in the USA: Content, pedagogy and curriculum,” Eur. J. Eng. Educ., vol. 25, no. 4, pp. 303–313, Dec. 2000, doi: 10.1080/03043790050200340.[19] B. Jimerson, E. Park, V. Lohani, and S. Culver, “Enhancing Engineering Ethics Curriculum by Analyzing Students’ Perception,” in 2013 ASEE Annual Conference & Exposition Proceedings, Atlanta, Georgia: ASEE Conferences, Jun. 2013. doi: 10.18260/1-2--19544.[20] E. A. Cech, “The (Mis)Framing of Social Justice: Why Ideologies of
Teacher Education , vol. 53, no. 2, 2002.[4] J. O. &. C. B. Jeanne M. Hughes, "The Power of Storytelling to Facilitate Human Connection and Learning," IMPACT: The Journal of the Center, vol. 11, no. 2, pp. 18-26, 2022.[5] J. Davishahl, "Centering Social Justice in Engineering: A new course model for first year engineering education," in American Society of Engineering Education Annual Conference, Baltimore, MD, 2023.[6] O. Hargie, Skilled Interpersonal Communication, London: Routledge, 2011.[7] C. M. &. M. Poston, "Self-Disclosure and Interpersonal Communication," in Exploring Communicaiton in the Real World, College of DuPage Digital Press, 2020.
enough forstudents to become familiar with its use. Through the conceptual lens of Teacher Noticing Thisstudy examined (a) whether faculty saw the potential use of LLMs for teaching and learning, and(b) how they responded to the rapid impact of LLMs in the classroom before university-standardguidance. Via document analysis, we found that despite LLM chatbots being widespread forroughly 9 months before the Fall semester, only a third of faculty acknowledged its use in theclassroom. Faculty took three positions toward it: encouraged, discouraged, and prohibited. Asfound in qualitative analysis, most of the language was precautionary and discouraging. Throughthe lens of Teacher Noticing, we suggest that this is worrisome since faculty beliefs
., Bursic, K., Clark, W., Norman, B., Parker, R.,Patzer, J., & Slaughter, W. (2016). Flipping Engineering Courses: A School Wide Initiative.Advances in Engineering Education, 5(3), 1-39.Cohen, J. (1988). Statistical power analysis for the social sciences. Lawrence EarlbaumAssociates.Daugherty, K., Morse, R., Schmauder, A., Hoshaw, J., & Taylor, J. (2022). Adjusting the futureof adaptive learning technologies via a SWOT analysis. Intersection: A Journal at theIntersection of Assessment and Learning, 3(2), n2.Felder, R. & Brent, R. (2016). Teaching and learning STEM. San Francisco, CA: Jossey-Bass,31.Field, A. (2005). Discovering statistics using SPSS. London: SAGE Publications, 571-618.Fraser, B., & Treagust, D. (1986). Validity and
and colleagues’ work was originally based on articulations ofinterpersonal racialized harm, the concept of microaggressions also speaks to communities whoare marginalized along lines of gender, sexuality, dis/ability, citizenship, age, as well as the waysin which people experience marginalization along multiple dimensions at once. Sue andcolleagues have more recently [11] also offered a framework describing what they term as“microinterventions,” organized into four different types of response to microaggressions: (a)make the invisible visible, (b) disarm the microaggression, (c) educate the perpetrator, and (d)seek external reinforcement or support.The second framework we draw on is that of selective incivilities [12], [13], [14]. Cortina
further enrich the educational experience and maximize thebenefits of LinkedIn Learning Pathways for all students.References[1] Galbraith, A., & Schluterman, H., & Massey, L., & Crisel, B., & Rainwater, C. (2022, August), Exploring the relationship between initial mathematics course in college and engineering graduation rates Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41507[2] Massey, L. B., & Galbraith, A. L. (2021, November), Retaining Over-Prepared Students in a Common First-Year Engineering Program Paper presented at 2021 ASEE Midwest Section Conference, Virtual. 10.18260/1-2-1130.1153-38334[3] https://learning.linkedin.com/for-higher
. Postsecondary engineering students are regulardigital technology users in various forms, from study and notetaking tools to entertainmentsystems, making them highly susceptible to the negative effects of technology overuse. The mainpurpose of this research is to support health and wellness in undergraduate engineering studentsby a) promoting effective technological literacy skills and b) improving self-efficacy inunderstanding technology-life balance. The resulting best practices from this work, which havebeen condensed into an easily accessible framework, are intended to support students inmaintaining digital wellbeing throughout their lifetime. The proposed framework will allowindividuals to access research-informed strategies to improve and maintain
, leadership, and organizations: The GLOBE study of 62 societies. Sage Publications, Inc. (1999).[5] T. Kitchel, “Psychosocial Differences by CTE Discipline and Personality Type in Student Teachers”, (2010).[6] I. B. Myers, M. H., McCaulley, N. L. Quenk, and A. L. Hammer, MBTI manual: A guide to the development and use of the Myers-Briggs Type Indicator (3rd ed.). CPP, Inc.. Li, K. Wang, Y. Xiao, J. E. Froyd, and S. B. Nite, (2009). “Research and trends in STEM education: A systematic analysis of publicly funded projects,” International Journal of STEM Education, vol. 7, pp. 1–17, 2020.[7] M. R. Barrick, and M. K. Mount, “The Big Five personality dimensions and job performance: A meta-analysis. Personnel Psychology”, 44(1
and skills necessary to build a prototype solution, which includes a) EnergyConservation, b) Renewable and Non-Renewable Energy, c) Solar Energy, d) Fundamentals of Electricity,e) Fundamentals of Photovoltaic Cells, and f) Battery Energy Density; and then implement theconstruction of a micro-grid, based on what they have learned and explored during the implementationof the program.The fact of the existence of the need to have access to reliable electrical Energy in rural populations,together with the experiences published in the literature, shows the feasibility of this type ofintervention. The literature shows that the highest success rate of this type of project occurs incommunities where its members are involved in developing and
Program Criteria [6] 1. Curriculum The curriculum must include: 1.a. Application of: 1.a.i. mathematics through differential equations, probability and statistics, calculus- based physics, chemistry, and either computer science, data science, or an additional area of basic science 1.a.ii. engineering mechanics, materials science, and numerical methods relevant to civil engineering 1.a.iii. principles of sustainability, risk, resilience, diversity, equity, and inclusion to civil engineering problems 1.a.iv. the engineering design process in at least two civil engineering contexts 1.a.v. an engineering code of ethics to ethical dilemmas 1.b
vessel walls, more closelyrepresenting physiologically-relevant conditions.Figure 1. Representations of venous valve model. a) Diagram of venous valve model as used for numerical simulations and silicone model experiments. b) Valve leaflet crescent-tipped shape The numerical and experimental models will be used in tandem to explore the effect of venousvalve morphology on flow conditions conducive to disease. While numerical simulations arevaluable in simulating a wide range of parameter sets and in obtaining data that can be difficultto accurately measure using experiments (such as shear stress), the silicone model can be used asfurther validation of the numerical model and can also readily be used to study fluid stasis andresidence time
specific goals were twofold: a) to providea reflective perspective on participants' institutional experiences related to gender, equality, androles within the School of Engineering, and b) to shed light on the challenges and barriersencountered in institutional life. Data was collected using the LEGO® Serious Play®methodology as an innovative and dialogic facilitation method. Twenty students and professorsparticipated. A phenomenological and qualitative analysis was conducted on the workshoprecordings to discern emerging perspectives. The results of the initial pilot workshops highlightthe significance that gender equality holds for both students and faculty within the realm ofuniversity education, as it is seen as the heart of institutional life
maintain objectivity in this autoethnography, I frequently self-reflected to maintaintransparency while using my identity to gather comprehensive, thick, and rich data on internationalstudents' experiences. My dual perspective as an insider and outsider to the research allows me touncover details that might otherwise remain hidden. In my data analysis, I collaborated with mylab mates, Rater A (a white female senior graduate student) and Rater B (a male Nigerian PhDstudent), who, despite some similarities, provided outsider perspectives as doctoral students in thecivil engineering program at the University of Florida. Raters A and B read through my journalentries and memos, asked follow-up questions, and provided future reflection prompts
Paper ID #42024Inclusive Teaching Practices in Engineering: A Systematic Review of Articlesfrom 2018 to 2023Rajita Singh, University of Oklahoma Rajita Singh is a junior at the University of Oklahoma, where they are pursuing an English major with a minor in Psychology. Passionate about the improvement of education in all fields, they are involved in multiple projects centered on researching pedagogy. Their most recent involvement has been in engineering pedagogy, where they bring their writing skills and synthesis abilities.Dr. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly
that would introduce students tothe topics of Smart Manufacturing and Industry 4.0 (I4.0). The goals of the activities areto a) raise student awareness and stimulate interest in the topics and b) inspire studentsto pursue a degree in a new manufacturing-related college major at a Midwesternuniversity. The authors collected information on the existing activities from differentsources, such as the Society of Women Engineers (SWE) website, different professionaleducation websites of the top engineering universities in the United States, and others.The authors worked with the leadership from the Midwestern university’s academia-industry collaboration center and select manufacturing industry stakeholders to retrieveadditional activities.The content
Paper ID #41375Teaching Project Planning and 4D Scheduling in a Project Planning and SchedulingCourseDr. George Okere, University of Cincinnati George is an associate professor educator, and heavy highway chair (endowed position) in the Civil and Architectural Engineering and Construction Management Department in the College of Engineering and Applied Science at the University of Cincinnati (UC). George has over 23 years of construction industry work experience, and 11.5 years of which was with Kiewit, where he worked on various heavy civil projects. He received his PhD in Technology Management from Indiana State
free-response survey questions: (a) “What advice wouldyou give to someone who is just learning how to operate a mill?”; (b) “What are the positiveaspects of this mill training exercise?”; and (c) “How could we improve this exercise for futureyears?” (a) Take your time and use the machine slowly, mistakes might happen but it’s a learning process. (a) I now feel more confident in my ability to make complex parts on the mill. (b) I learned how to use a mill for the first time and now I am confident about using them in the future. (b) I feel a lot more comfortable doing manufacturing on the mill, which is huge as I had no experience prior. (c) This exercise could be improved by increasing the availability of mini-mill TAs for the weeks just after
, Minnesota State University, Mankato.”[4] A. Kolmos, F. K. Fink, and L. Krogh, The Aalborg PBL Model: Progress, Diversity and Challenges. 2007.[5] J. Morgan, E. Lindsay, C. Howlin, and M. Van den Bogaard, “The CSU Engineering Topic Tree: The First Four Years,” Adv Eng Educ, 2021.[6] B. Johnson, R. Ulseth, and Y. Wang, “Applying design based research to new work- integrated PBL model (The Iron Range Engineering Bell Program),” in 7th International Research Symposium on PBL (IRSPBL), Beijing, China, 2018.[7] R. Ulseth, B. Johnson, and C. Kennedy, “Iron Range Engineering,” Adv Eng Educ, 2021.[8] D. Christensen, L. Singelmann, C. Mann, B. Johnson, and R. Ulseth, “The Bell Academy: A Bridge Semester Where
that form of analysis was possible.Grade Distribution AnalysisComparison of grade distributions for UNIV 1201 and GEEN 1201 during the three years inwhich GEEN 1201 existed was completed to determine whether there was a difference inacademic performance. There were adequate cumulative counts of students to ensure that theimpact of variance would be minimized and to arrive at general patterns as grades for nearly 450GEEN 1201 students and 4000 UNIV 1201 students were considered, counts sufficient todecrease the impact of variability and random fluctuations. A summary of the results appears inTable 4. Table 4 Comparison of Grade Distributions: UNIV 1201 to GEEN 1201 Course n A B C D