Technology into Georgia’s Elementary Science Program • Bridges for Engineering Education © American Society for Engineering Education, 2022 Powered by www.slayte.com Analyzing Teacher Supports for Collective Argumentation in Integrative STEM Classrooms (RTP)AbstractThe Next Generation Science Standards [1] recognized evidence-based argumentation as one ofthe essential skills for students to develop throughout their science and engineering education.Argumentation focuses students on the need for quality evidence, which helps to develop theirdeep understanding of content [2]. Argumentation has been studied extensively, both inmathematics and
, and Associate Head for Graduate Studies and Research, at Purdue University School of Aviation and Transportation Technology in West Lafayette, Indiana. She earned her BS, MS, and PhD in Industrial Engineering from The University of Texas at Arlington. She has aerospace industry and university academic experience. Her research focuses on data driven analysis and process improvement in sustainability, process automation, and general aviation. © American Society for Engineering Education, 2022 Powered by www.slayte.com Preliminary Identification and Analysis of Encoding Errors in GA Pilot Weather Reports (PIREPs)ABSTRACTPilot Weather
methods to increase the participation and success of marginalized communities and non-traditional students in engineering and construction management. ©American Society for Engineering Education, 2024 Can Construction Education Programs at HBCUs Increase the Number of African-American Construction Managers in the United States?Abstract – The U.S. Construction Industry continues to grow even as other industries slow downor decline. This growth fuels a need for more people to enter the field of construction not only astradesmen or laborers, but also as construction managers. According to the Bureau of LaborStatistics, in 2022, 89.8% of construction managers in the U.S. were white. [1] Although debatecontinues
by Recognizing the Framing Power of Implicit Messages Kathryn A. Neeley University of VirginiaI. IntroductionSince the founding of the Diversity, Equity, and Inclusion Commission in 2011, interest andactivity in diversity have grown in ASEE, culminating with the establishment of the Year ofImpact on Racial Equity (2021-2022) and the formation of the Equity, Culture, and Social JusticeDivision in 2020. These initiatives were preceded by several ASEE programmatic effortsincluding the Year of Action on Diversity (2014-2015), the Best Diversity Paper Award (2015),the Deans Diversity Pledge (2017), the Diversity Recognition Program (2019), and the
satisfied (Holt, Mackay, & Smith, 2004). Additionally, the knowledgeuniversities provide is insufficient to help them tackle real-world problems and provide potentialsolutions to societal issues with innovative yet feasible products (Venkatesh et al., 2022).Moreover, given the multitude of changes in an increasingly globalized world, traditional formsof education based on purely theoretical learning are no longer sufficient to equip students withthe ability to work effectively in industry (Powell, 2005).To address evolving learning needs, educators seek industrial partnerships to expose students toreal-world issues (Ford & Lasher, 2004), allowing students to conceptualize, construct, andevaluate solutions to industrial problems (Fong et al
Dizaji, University of Virginia ©American Society for Engineering Education, 2024 Exploring the Impact of Mastery Grading on Student Performance – Work in ProgressAbstract: The introduction of mastery grading in Calculus I began in the fall of 2022 in ourengineering school. We found that students in the mastery-graded course experienced reducedtest anxiety, achieved higher letter grades through penalty-free reattempts, and felt moreconfident about their math ability. In the fall of 2023, we extended the implementation toadditional sections and introduced several modifications to the grading system. The results onthe common final exam showed a substantial benefit from mastery
Paper ID #43973Board 125: Work in Progress: Faculty Experiences and Learning ThroughOral-Assessment Implementation in Engineering CoursesDr. Minju Kim, University of California, San Diego Minju Kim is a postdoctoral scholar at the Engaged Teaching Hub at the UCSD Teaching+Learning Commons. Minju received her Ph.D in Experimental Psychology at UC San Diego. With Engaged Teaching Hub, Minju has designed TA training materials for oral exams and have conducted quantitative analysis on the value of oral exams as early diagnostic tool (Kim et al., ASEE 2022). Minju is interested in designing assessments that can capture and
identify potential users, wesurveyed first-year undergraduate engineering students to capture their intention to participate inacademic makerspaces. This study reports on work done as part of a larger study that follows thepaths of first-year students at two academic institutions, tracking their participation andperceptions of makerspaces over four years. Quantitative data were collected from two onlinesurveys that were distributed at the beginning of the Fall 2022 semester and the end of theWinter/Spring 2023 semester. Each survey took approximately 10 minutes to complete andconsisted of a series of Likert-type and single-selection questions about theirattitudes/motivations toward makerspaces and psychosocial assessments of their
working cohesively across institutions anddisciplines). We developed a COI survey instrument, therefore, that would work best in keepingwith the general literature on an inclusive culture and that is consistent with NSF’s expectationfor a professional work environment that is collaborative and encourages professional growth.This paper builds on initial survey findings and outcomes from 2021 [4] and outlines ourexperiences with this COI survey as we continued to refine it in 2022. We aim to share insightsgained from our efforts to assess, and then ideas to enhance, our Center's culture of inclusion.Virtual ComponentThe instrument was developed in 2020. During that time, because of the COVID-19 pandemic,all Center meetings (leadership teams
noticed the students’ resistance to altering their design either by performingsuperficial alterations on their ideas or prototypes or dismissing the feedback all together.In the follow-up study, Schut et al. (2022) acknowledged that feedback can further causeelementary students to become fixated on their design if students felt like the feedback containedimplicit, often negative, assumptions about their design. Feedback should center arounddeliberate and transparent conversation that emphasizes the positive aspect of the students’design while encouraging young students to consider alternative solutions through conversationsthat promote divergent thinking [26].Forcing the students to produce multiple design solutions may not necessarily lead to
, Aug 2018.[10] R. Elliott, “Do students like the flipped classroom? an investigation of student reaction to a flipped undergraduate it course,” in IEEE Frontiers in Education Conference, 2014, pp. 1–7.[11] Y. Hao, “Exploring undergraduates’ perspectives and flipped learning readiness in their flipped classrooms,” Computers in Human Behavior, vol. 59, pp. 82–92, 2016.[12] B. Aydin and V. Demirer, “Are flipped classrooms less stressful and more successful? an experimental study on college students,” International Journal of Educational Technology in Higher Education, vol. 19, Nov 2022.[13] V. C. H. Tong, Shaping higher education pedagogy with students in a consortium setting. UCL Press, 2018, pp. 3–14.[14] R. Romero Reveron
, “Using natural language processing technology for qualitative data analysis,” International Journal of Social Research Methodology, vol. 15, no. 6, pp. 523–543, Nov. 2012, doi: 10.1080/13645579.2011.625764.[4] P. Pandiaraja, K. B. Boopesh, T. Deepthi, M. Laksmi Priya, and R. Noodhana, “An Analysis of Document Summarization for Educational Data Classification Using NLP with Machine Learning Techniques,” in Applied Computational Technologies, B. Iyer, T. Crick, and S.-L. Peng, Eds., Singapore: Springer Nature Singapore, 2022, pp. 127–143.[5] G. Yang, N.-S. Chen, Kinshuk, E. Sutinen, T. Anderson, and D. Wen, “The effectiveness of automatic text summarization in mobile learning contexts,” Computers & Education, vol. 68, pp
Paper ID #44135Theorizing Neuro-Induced Relationships Between Cognitive Diversity, Motivation,Grit and Academic Performance in Multidisciplinary Engineering EducationContextProf. Duy Duong-Tran, United States Naval Academy Dr. Duong-Tran is currently an Assistant Professor of Mathematics at the United States Naval Academy (USNA). Before joining USNA, he was a Postdoctoral Research Fellow at Perelman School of Medicine at the University of Pennsylvania. He held a Ph.D. from Purdue University’s School of Industrial Engineering (IE) and a graduate certificate from Purdue’s School of Engineering Education in 2022. His main
Conference; American Society of Engineering Education: Virtual, 2021.(3) Andino, J.M.; Ozis, F.; Abdullahi, A.; Henderson, E. Particle Sampling and Analyses Using Computer-Based Approaches. In Proceedings of the 2022 American Society of Engineering Education Annual Conference; ASEE Conferences: Minneapolis, MN, 2022.(4) Andino, J.M.; Otsengue, T. Application of Computational Tools to Enhance Understanding of Chemical Kinetics, Mechanisms, and Reactors: Examples in Air Pollutant Formation and Control. In Proceedings of the 2017 American Society of Engineering Education Pacific Southwest Annual Conference; ASEE Conferences: Tempe, Arizona, 2017.(5) Vasquez, E. S.; Morin, M.; Vijayan, V.; Reissman, T. Work in Progress: Self
machine learning in anauthentic way, connecting AI tools to physical samples and literature based as well as student-generated data. In working to build and analyze the data set, students develop both experimentalskills and an appreciation for advanced computational methods.Pilot Data CollectionPilot quantitative and qualitative data have been collected to better understand the impact of thedescribed activity on student perceptions of ML. Sections of the MATE 245 class in 2022 and2023 were introduced to AI and ML concepts via a similar case study on the Citrine Platform viaan instructor facilitated interactive demonstration.In 2022, the MATE 245 class (~20 second-year students) were introduced to AI and ML conceptsvia a similar case study on the
, Criteria for Accrediting Engineering Programs, 2024 – 2025, Baltimore, Maryland: ABET, 2024.[5] T. Carroll, D. M. Franco Duran and L. I. Burden, "Conceptualizing Social Justice in Civil Engineering and Professors’ Perspective: A Systematic Literature Review," 2023 American Society for Engineering Education Annual Conference & Exposition, 2023.[6] R. Pellissier, F. Siluk, C. Flynn and M. Kanaan, "Approaching Equity, Diversity, Inclusion, and Social Justice Education as Imperative to Engineering Curricula," 2022 Canadian Engineering Education Association Conference, 2022.[7] D. E. Armanios, S. J. Christian, A. F. Rooney, M. L. McElwee, J. D. Moore, D. Nock, C. Samaras and G. J. Wang, "Diversity, Equity, and Inclusion in Civil
academic program (in this case, Electrical Engineering). As part of the second phase, we developed a powerful matching method that can automate the demographic information matching in the background with Python libraries to ensure sustainable analysis as the data collected from both new and ongoing students naturally grew larger over the past several years. Ultimately, we were able to match a total of 840 unique students based on their self-provided information such as gender, month of birth, ethnicity, and high school names across 2148 unique survey responses collected in 5 different academic semesters: Spring 2021, Fall 2021, Spring 2022, Fall 2022, and Spring 2023. Beyond the scale of data, which is unprecedented for this kind of survey, we
). Goodenow (1993)conceptualizes belonging in schools as students feeling a sense of inclusion and respect. Thisdefinition draws attention to the emotional aspect involved in belongingness. Especially inengineering culture where emotion is often seen as a negative trait and left out of discourse, it iscrucial for students to fill this need for emotional support in some way (Lonngren et al., 2020).Both engineering identity and a sense of belonging in engineering can help improve students’performance and help them feel safe in engineering and in turn may increase student persistence(Baumeister & Leary, 1995; Doran & Swenson, 2022; Verdin et al., 2018). Students oftenconnect and form social groups through sharing similar backgrounds, interests
’ impressions and their changes in study program perspectives. The last sectionprovides concluding remarks about this work.II. A Macro View of Engineering PEARLSThe academic setting where this study was carried is the University of Puerto Rico Mayaguez,a Hispanic Serving Institution part of a state-supported university system. With 10,949students in fall 2022 (23.3% of the system’s student body), the host is the largest unit in theeleven-campus University of Puerto Rico system [7]. The College of Engineering (CoE) in thehost campus serves 4,936 students, 94% of them distributed in nine academic programs at theBS level, and the remaining 6% in master’s, and Ph.D. levels. The host has for many yearsmaintained a prominent position as one of the largest
Fall 2022. Both Final exams before and afterimprovement are at the same level. Results indicate that the new course design improved students’performance by 19.23% in the final exam. T-test is performed, and the results indicate a significantdifference (p-value = 0.0096). The data also show a reduction in the percentage of students whoscored 70% or less on the final exam by 69.1%. While the control group that took the class in Fall2020 was completely online with no face-to-face option due to COVID-19, there is little to noimpact of that condition on the students’ performance since this course was already designed as amixed modality with a high percentage of students online before COVID-19. Additionally, severalstudies reported a positive and
marginalizingexperiences in science, technology, engineering, and math (STEM) disciplines. Thesemarginalizing experiences are characterized by alienating program environments rife withgendered-racism, invisibility, isolation, and the frequent need to prove one’s legitimacy in STEM(Alexander & Hermann, 2016; Bryson & Kowalske, 2022; Johnson, 2011; Wilkins-Yel et al.,2019). A burgeoning area of research has highlighted how these experiences of difference havenegatively impacted WOC’s mental health and, in turn, their persistence in STEM (Evans et al.,2018; Wilkins-Yel et al., 2022). One group uniquely positioned to create systemic change inthese dominant white masculine milieus is graduate advisors. Advisors are stewards of theSTEM climate across
Demographics – low-income students. Student Categories 2019-2020 2020-2021 2021-2022 Total Engr & Computing Grad Enroll 1,480 1,485 1,710 Domestic Engr & Computing Grad Enroll 697 716 735 Low-income Engr & Computing Grad Enroll 132 (19%) 144 (20%) 165 (22%)We are still waiting on 2022-2023 data from financial aid, but this data shows thatapproximately 20% of domestic engineering and computing graduate students haveunmet financial needs. Since 2019-2020, the mean unmet need for students hasincreased from $11,058 to $15,212 annually. We anticipate that 2023-2024 data willbe similar to 2021-2022 levels. This
design lab manuals, but these predominantly focused either ondiscrete logic activities or Field-Programmable Logic Device (FPLD) board activities. Ourcurriculum required a synthesis of both. Furthermore, existing manuals were oftenconstrained by their alignment with specific CAD software, development boards, and benchequipment, limiting their applicability.Intel Inc., through its educational initiatives, offers complimentary resources primarilycentered on FPLD board activities, catering to a more advanced demographic. This gap inavailable resources led to the development of our new OER lab manual, which wasimplemented in the Fall of 2022.To gauge the success of this initiative, both qualitative and quantitative assessment methodswere utilized
Paper ID #40889Instructor-Facing Graphical User Interface for Micro-CredentialDesignation and Refinement in STEM CurriculaMr. Paul Amoruso, University of Central Florida Paul Amoruso earned his B.S. in 2021 and his Master’s degree in 2023. Currently, he is continuing his education in the same field and pursuing a Ph.D. in Computer Engineering at the University of Central Florida, Orlando, FL. Since 2022, he has served as a Graduate Research and Teaching Assistant for the Department of Electrical Engineering and Computer Science. His educational interests are innovations in machine learning implementations in everyday
higher education led to the successful building and passing of the religious accommodation law in the State of Washington, which provides alternative exam testing accommodations for students due to religious observances. Dr. Hussein is the recipient of the 2021 Innovative Program Award from the Electrical and Computer Engineering Department Head Asso- ciation (ECEDHA), for founding the RHLab, as well as the 2022 IEEE Region 6 Outstanding Engineering Educator, Mentor, and Facilitator in the Area of STEM Award, recognizing her contributions to advanc- ing students’ success, mentorship, empowering under-represented communities, and promoting equitable access to engineering education
: https://doi.org/10.1007/s40489-018-0142-8. [Accessed June 23,2023].[4] Roehrig, G. H., Moore, T. J., Wang, H. H., & Park, M. S. Is adding the Eenough? Investigating the impact of K‐12 engineering standards on theimplementation of STEM integration. School Science and Mathematics,112(1), 31-44. 2012. Available:https://doi.org/10.1111/j.1949-8594.2011.00112.x. [Accessed July 23, 2022].[5] Papavlasopoulou, S., Giannakos, M. N., & Jaccheri, L. Reviewing theaffordances of tangible programming languages: Implications for design andpractice. IEEE Global Engineering Education Conference (EDUCON), April25-28 April 2017, Athens, Greecehttps://doi.org/10.1109/EDUCON.2017.7943096. 1811–1816.[6] Martin, W. B., Yu, J., Wei, X., Vidiksis, R., Patten, K
Paper ID #42734Importance of Cyber-Physical Security Training in Electrical EngineeringEducationSangshin Park, University of Utah Since 2022, he has been with University of Utah, Salt Lake City, UT, where he is currently pursuing an Ph.D at the Computer Science Department. His research interests include Cyber-Physical System, Edge/Cloud Computing and ML/DL for Communication Networks / CyberSecurity ensuring Power System Resilience.Dr. Reza Kamali-Sarvestani, California State University, San Marcos Dr. Reza Kamali-Sarvestani is the Founding Associate Professor of Electrical Engineering at California State University
todemonstrate the technological and functional differences between traditional IT systems and theindustrial control systems environment [3]. This term (OT) is useful to help recognize thedistinction between IT and OT and the fact that different types of expertise are needed to dealwith the specific OT system that is being controlled.Much of what will be stated next was covered in greater detail by this author’s paper, “Industry4.0 or the Industrial Internet of Things (IIoT)–Its Future Impact on Two-Year EngineeringTechnology Education,” which was presented last summer at the ASEE 2022 Annual Conferenceand Exposition. Suffice to say, that most agree that a well-educated workforce is the keyresource necessary to the consistent economic growth of an
66.67% in the Spring 2022semester. (Fig. 1) [8]. Fig. 1. Area of engineering: New jobs.The surveys also indicate that 57.14% of the co-op or internship attended by students wererelated to manufacturing in the Fall 2020 semester, 42.86% and 75% in the Spring 2021 andSpring 2022 semesters respectively (Fig. 2). Proceedings of the 2024 Conference for Industry and Education Collaboration Copyright ©2024, American Society for Engineering Education ETD 315 Fig. 2. Area of engineering: Co-ops and/or internships.As for the employers, 84% respondents stated that they have
the 75-100 percentile)*4 + (Number of students in the 50-75 percentile)*3 + (Number of students in the 25-75 percentile)*2 + (Number of students in the 0-25 percentile)*1] / Total number of students Figure 1: The Scale of Concentration percentiles for freshmen and seniors of Fall 2022. Application: Figure 1 shows an example of such histogram plots for the scale of Concentration from the Self-regulation component. The figure compares the big picture image for this scale between freshmen and seniors of Fall 2022. The graphs provide data for the calculation of concentration score: 2 for freshmen and 2.7 for seniors, about 30% score difference in this