, University of Arkansas at Little RockDr. Srikanth B Pidugu P.E., University of Arkansas at Little Rock Dr. Pidugu is a Professor and Director (Interim) of School of Engineering and Engineering Technology at University of Arkansas at Little Rock. He obtained Ph.D. in Mechanical Engineering at Old Dominion University in 2001. ©American Society for Engineering Education, 2024 A pilot study of the use and attitudes toward large language models across academic disciplinesAbstractThis study presents a comparison between the use of and attitude towards large language models(LLMs) across different academic disciplines at UA Little Rock. Undergraduate classes indifferent academic
developing and assessing Professional Development programs for these students. She has been an instructor for Communication Theory and Scientific Communication at undergraduate level.Dr. Carla B. Zoltowski, Purdue University, West Lafayette Carla B. Zoltowski is an associate professor of engineering practice in the Elmore Family School of Electrical and Computer Engineering (ECE) and (by courtesy) the School of Engineering Education, and Director of the Vertically Integrated Projects (VIP) Program within the College of Engineering at Purdue. She holds a B.S. and M.S. in Electrical Engineering and a Ph.D. in Engineering Education, all from Purdue. Dr. Zoltowski’s research interests include the professional formation of
displaced populations & victims of conflict. Confl Health. 2017 Nov 1;11:20. doi: 10.1186/s13031-017-0122-0. PMID: 29118849; PMCID: PMC5664437. 6. Najem, Y., Elhajj, I. H., Dawy, Z., Germani, A., Ghattas, H., Zaman, M., & Yazdi, Y. (2019). Humanitarian Engineering Design for Health Challenges: An Inter-faculty Service Based Learning Model. International Journal for Service Learning in Engineering, Humanitarian Engineering and Social Entrepreneurship, 14(2), 16-32. https://doi.org/10.24908/ijsle.v14i2.13391 7. Amadei B, Sandekian R, Thomas E. A Model for Sustainable Humanitarian Engineering Projects. Sustainability. 2009; 1(4):1087-1105. https://doi.org/10.3390/su1041087 8. Gordon, P.E., Kramer, J., Agogino, A.M
difference between the student experiences across and withinthe academic years through the Student’s t-test for evaluation.Results and AnalysisWe refer to the student groups in the four separate academic years as the following. ● 2019-2020 academic year: the 2019 cohort ● 2020-2021 academic year: the 2020 cohort ● 2021-2022 academic year: the 2021 cohort ● 2022-2023 academic year: the 2022 cohortResearch question 1: Students’ motivation change across the pandemicFigure 1 compares the student ratings on their perception of the following, a) whether they were able to master the skills taught in the course. b) whether they could figure out how to learn the most difficult course material. c) whether they could do almost all the work in
, students receive a voluntary survey link by email. The briefsurvey asks about the student’s appointment as well as things they enjoy or would like changedat the TCL. (See Appendix A for survey questions.)B. Student Interviews At the end of the Fall 2023 semester, we emailed 5 students who had used the TechnicalCommunication Lab for our one-on-one consultations. We chose students who had mademultiple appointments during the semester to get more in-depth student feedback. We conductedthe interviews over Zoom and all students completed participant consent forms. (See Appendix Bfor interview questions.) Of the 5 students, one was an undergraduate student in Materials Science andEngineering while the other four were graduate students in
that ensure ethical AI use in education.References[1] K. B. Mustapha, E. H. Yap and Y. A. Abakr, "Bard, ChatGPT and 3DGPT: a scientometric analysis of generative AI tools and assessment of implications for mechanical engineering education," Interactive Technology and Smart Education, vol. 1, no. 1, 2024.[2] J. Qadir, "Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education," in IEEE Global Engineering Education Conference (EDUCON), 2023.[3] J. E. Duah and P. McGivern, "How generative artificial intelligence has blurred notions of authorial identity and academic norms in higher education, necessitating clear university usage policies," IJILT, 2024.[4] T. Jie, J. Hou, Z. Wu, P. Shu, Z. Liu
education focusDr. David B Knight, Virginia Polytechnic Institute and State University David Knight is a Professor in the Department of Engineering Education at Virginia Tech and also serves as Special Assistant to the Dean for Strategic Plan Implementation in the College of Engineering. His research tends to be at the macro-scale, focused on a systems-level perspective of how engineering education can become more effective, efficient, and inclusive, and considers the intersection between policy and organizational contexts. Knight currently serves as the co-Editor-in-Chief of the Journal of Engineering Education.Ms. Isil Anakok, Virginia Polytechnic Institute and State University Ms.Anakok is Ph.D. candidate in the
ethics in the curriculum and effective and innovative teaching methods. b. Participate in workshops to develop research skills: Workshops, webinars, and online courses offered by professional societies, institutions, and other training academies are available. The institution should support their faculty to utilize these opportunities. This training would be valuable for learning the appropriate use of digital library, scientific journal editing and publication procedures, use of available content for scientific research purposes, research report/ grant writing skills, and project management. ii. Training a. In relevant
, we should specify the coefficients 𝑎𝑖 for 𝑖 = 0, 𝑚 based on some given dataset(𝑥0 , 𝑦0 ), (𝑥1 , 𝑦1 ), … , (𝑥𝑛 , 𝑦𝑛 ) (or sensor input/output pair) with 𝑛 ≥ 𝑚. To find a polynomialrelation between the output and inputs, we form a matrix and right-hand side vector based on thegiven dataset [33], 𝑦0 1 𝑥0 𝑥02 … 𝑥0𝑚 𝑦1 A = 1 𝑥1 𝑥12 … 𝑥1𝑚 , b = 𝑦2 , (4
-based learning and experiential and56 collaborative learning. However, it also distinguishes itself from these pedagogical approaches57 based on the three principles. In this project, the author aims to integrate PSS and EM into PBL to58 fulfill the evolving demands of the engineering profession.59 2. Introduction to Modeling of Engineering System Course Structure60 This course is currently offered to multidisciplinary engineers only during the Fall Semester with61 one or two sessions depending on the number of registered students. In this study, two sessions62 (Session A&B) were offered this semester. Session A had 15 students (6 Civil Engineering, 163 Mechanical Engineering, 6 General Engineering, and 2 Chemical
Design of Experiments and the PDSA to improve 3-D Printing in a Senior-Level Quality Course,” in 2019 ASEE Annual Conference & Exposition, 2019.[14] H. Kerzner, Project management: a systems approach to planning, scheduling, and controlling. John Wiley & Sons, 2017.[15] B. Barron and L. Darling-Hammond, “Teaching for Meaningful Learning: A Review of Research on Inquiry-Based and Cooperative Learning. Book Excerpt.,” Georg. Lucas Educ. Found., 2008.Appendix A: ABET Data for MEEN404 Table 3 ABET Data SummaryStudent Description 2021/2022 2022/2023 2023/2024OutcomeSO 2.1 Identify the need statement 70 82
for enhanced learning,” High. Educ. Res. Dev., vol. 18, pp. 57–75, Apr. 1999, doi: 10.1080/07294360.2012.642839.[4] M. Chun, “Taking Teaching to (Performance) Task: Linking Pedagogical and Assessment Practices,” Change Mag. High. Learn., vol. 42, no. 2, pp. 22–29, Feb. 2010, doi: 10.1080/00091381003590795.[5] J. Morton, A. Cumming, and H. Cameron, “Performance-based assessment in undergraduate medical education,” Clin. Teach., vol. 4, no. 1, pp. 36–41, 2007, doi: 10.1111/j.1743-498X.2007.00138.x.[6] N. Ramirez and C. B. Zoltowski, “First-Year Experiences – How the Vertically Integrated Projects (VIP) Model Addresses Grand Challenges and ABET Outcomes,” in 2022 IEEE Frontiers in Education Conference (FIE), Oct. 2022
et al[12] found that 50% of students starting in precalculus left engineering and this decreased to 21% when students started in calculus. They also found that the initial course grade had an impacton retention. The University in the study did not offer mathematics courses below precalculusfor the engineering program. Budny et al [14] found that GPA in the first semester was a strongpredictor of retention in the engineering curriculum. Students receiving an A in Precalculuswere found to be as likely to persist in engineering as students with a B in Calculus 1 or a C inCalculus 2 as an initial mathematics course. They recommend careful placement into a firstmath course so that students earn what they perceive to be an acceptable grade
. Patrick, “Motivational influences on student participation in classroom learning activities,” Teach. Coll. Rec., vol. 106, no. 9, pp. 1759–1785, 2004.[11] C. Hsieh and D. Knudson, “STUDENTS’ PERCEPTION ON TEACHING STYLE AND LEARNING OUTCOME”.[12] D. B. Larkins, J. C. Moore, L. J. Rubbo, and L. R. Covington, “Application of the cognitive apprenticeship framework to a middle school robotics camp,” in Proceeding of the 44th ACM technical symposium on Computer science education, Denver Colorado USA: ACM, Mar. 2013, pp. 89–94. doi: 10.1145/2445196.2445226.[13] S. S. Guzey, T. J. Moore, M. Harwell, and M. Moreno, “STEM integration in middle school life science: Student learning and attitudes,” J. Sci. Educ. Technol., vol. 25, pp. 550
out to professionals at the beginningof the course compared to the end of the course. A word cloud generated to visualize the mostfrequently used terms indicates that all respondents felt empowered to reach out to professionalsafter participating in the career launch course and much less nervous and intimidated. Note thatin the word cloud (Figure 9), larger words indicate they were used more frequently. A B Figure 9: Word cloud generated to visualize the most frequently used terms included in their finalreflection where they were prompted to discuss how they felt about reaching out to professionals prior to starting the career launch course (Panel A) and how they felt at the end of the
.” Accessed: Mar. 26, 2024. [Online]. Available: https://dl.acm.org/doi/abs/10.1145/3610978.3640574[7] S. Dutta, T. Banerjee, N. D. Roy, and B. Chowdhury, “Development of a BCI-Based Application Using EEG to Assess Attentional Control,” in Proceedings of the Global AI Congress 2019, J. K. Mandal and S. Mukhopadhyay, Eds., in Advances in Intelligent Systems and Computing. Singapore: Springer, 2020, pp. 659–670. doi: 10.1007/978-981-15-2188- 1_52.[8] E. H. Houssein, A. Hammad, and A. A. Ali, “Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review,” Neural Comput & Applic, vol. 34, no. 15, pp. 12527–12557, Aug. 2022, doi
Figure 3a), the position of the anchor relative to the joint rotation center affects the driving forceand operating range of the joint. We investigated the required operating range for each joint during gesture anddesigned accordingly. Implementation photos are shown in Figure 3b).a) b)c)Figure 2. SMA characteristic assessment measuring its electric resistance. a) Experimental setup. b) Characteristicsof the SMA resistance (hysteresis loop). c) SMA driving circuit (left) and measurement circuit for the SMA resistance(right). For the method using SMA wire for both extension and contraction of the joint, two sets of SMA drive systems(control of current to SMA and measurement of internal resistance
theirpeers in the courses, adding more options for self-select assignments, and performinglongitudinal studies to evaluate the role these courses play in supporting student retention in theprogram.References[1] “About the NAE grand challenges scholars program,” Grand Challenges - About the NAEGrand Challenges Scholars Program, https://engineeringchallenges.org/14384.aspx (accessedFeb. 7, 2024).[2] W. C. Lee and H. M. Matusovich, “A Model of Co-Curricular Support for UndergraduateEngineering Students,” Journal of Engineering Education, vol. 105, no. 3, pp. 406–430, 2016,doi: 10.1002/jee.20123.[3] W. C. Lee, J. L. Hall, A. Godwin, D. B. Knight, and D. Verdín, “Operationalizing andmonitoring student support in undergraduate engineering education
Examination of STEAM Teaching Practices: Theory and Practice,” in STEMEducation: Theory and Practice, M. Khine and S. Areepattamannil, Switzerland: Springer, 2019,pp. 143-164.[17] M. Dell’Erba, “Preparing Students for Learning, Work and Life through STEAM Education.Policy Brief.,” Education Commission of the States, 2019. [Online]. Available:https://eric.ed.gov/?id=ED598088. [Accessed January 31, 2024].[18] B. Lee and E. Change, “A cross cultural study on STEAM education in Korea and UnitedStates,” Korea Sci Art Forum, vol. 30, pp. 277-288 2017. [Online]. Available:https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE07248502. [Accessed January 31,2024].[19] J. L. Wendt, A. Rockinson-Szapkiw, and M. Cordes, “Examining the influence of a
’ Intelligence Beliefs andLearning,” J of Engineering Edu, vol. 103, no. 3, pp. 369–387, Jul. 2014, doi: 10.1002/jee.20051.[8] A. M. Boelt, A. Kolmos & J. E. Holgaard (2022) Literature review of students’perceptions of generic competence development in problem-based learning in engineeringeducation, European Journal of Engineering Education, 47:6, 1399-1420, DOI:10.1080/03043797.2022.2074819[9] Kolmos, A., & de Graaff, E. (2014). Problem-based and project-based learning inengineering education: Merging models. In A. Johri & B. M. Olds (Eds.), Cambridgehandbook of engineeringeducation research (pp. 141–161). Cambridge University Press. https://doi.org/10.1017/CBO9781139013451.012[10] Armacost, R. and Pet-Armacost, J. 2003. “Using mastery
ratio of B-level content words to A-levelcontent words). Figure 5-1 Interface of CVLA (ver.2)Figure 5-2 How CVLA returns a result of analysing student’s writing assignment: An excerpt Figure 5-3 A result of CEFR mappings and four indices of textual features3. Results3.1. Student vocabulary improvementTo investigate whether there was an improvement in the English vocabulary level ofinternational students taking our program in the fall 2022 semester we began by computingtwo CEFR-J scores for each of our 22 students, one representing their ability at the‘beginning period’ and the other at the ‘concluding period’ of the course. The first score wascalculated based on the first 2000 words submitted by students in
Paper ID #44438Emotionally Intelligent Machines in Education: Harnessing Generative AIfor Authentic Human-Machine Synergy in the ClassroomNicu Ahmadi, Texas A&M University Nicu (Nikki) Ahmadi is a graduate research assistant researcher working under Dr. Tracy Hammond. She holds a B.S. in Computer Engineering , a M.S. in Electrical Engineering – RF Communication & DSP. She is currently working on her PhD in Interdisciplinary Engineering, and her research focuses on the intersection of human-machine interaction, and behavioral economy; specifically covering adaptive emotional systems in human-machine interactions.Mr
Paper ID #41576Board 144: Work-in-Progress: A Course Collaboration Between ChemicalEngineering and Mechanical EngineeringMs. Malgorzata Chwatko, University of Kentucky Malgorzata (Gosia) Chwatko is an assistant professor in chemical engineering. She has gotten her Ph.D. at the University of Texas at Austin.Dr. Hari Charan Ghimire, University of KentuckyHuayi Li, University of KentuckyDr. Madhav Baral, University of Kentucky Dr. Baral is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Kentucky (UK) - Paducah campus. Before joining UK, he was a postdoctoral researcher at
Paper ID #41307An Independent Study Course for a Multi-Rotor Design and an EnduranceRecordDr. Stephen Andrew Wilkerson P.E., York College of Pennsylvania Stephen Wilkerson (swilkerson@ycp.edu) received his PhD from Johns Hopkins University in 1990 in Mechanical Engineering. His Thesis and initial work was on underwater explosion bubble dynamics and ship and submarine whipping. After graduation he took aYargo Teixeira Gomes de Melo, York College of PennsylvaniaAlex Suarez, York College of Pennsylvania Senior Electrical and Mechanical Engineering Student with a background in UAV technologies. ©American
currently a PhD candidate in Management Sciences and Engineering at the University of Waterloo investigating student acquisition of design skills and knowledge.Dr. Nadine Ibrahim, University of Waterloo Nadine Ibrahim is a civil engineer who is passionate about the sustainability of global cities. She is currently the Turkstra Chair in Urban Engineering at the University of Waterloo. She is a triple graduate of the University of Toronto, and holds a BAScProf. Gordon Krauss, Harvey Mudd College ©American Society for Engineering Education, 2024 A Multi-institution Design Project on Sustainable Cities: The Sustainability and Social Entrepreneurship FellowshipAbstractThis paper
Paper ID #44183Development and Impact of Research Efficacy in a Undergraduate Teaching-AssistantCertification ClassDr. Jamie R Gurganus, University of Maryland, Baltimore County Dr. Jamie Gurganus is a faculty member in the Engineering and Computing Education Program. She is the Associate Director STEMed Research in the College of Engineering and Information Technology (COEIT). She also serves as the Director for the Center for the Integration of Research, Teaching and Learning (CIRTL) in the graduate school. Her research is focused on solving problems relating to educating and developing engineers, teachers (future faculty
Paper ID #42248Design of Embedded Interdisciplinary Educational Program: A Case Study-basedon an AI Certification ProgramYu Zhang, Zhejiang University Yu Zhang is a Ph.D student in the School of public affairs, Zhejiang University. Her research interests include Science and Technology Management, Higher Education and Interdisciplinary Research.Xiaoning Zhang, Zhejiang University Xiaoning Zhang received the degree of Bachelor of Arts with a major in Spanish Language and Literature and Bachelor of Management with a minor in Business Administration at Beijing Institute of Technology, Beijing, China, in 2023. She is currently
Paper ID #41312Comparing Outcomes Between Two Engineering Majors in a DeterministicOperations Research CourseHsin-Li Chan, Penn State University Dr. Hsin-Li Chan is an Assistant Teaching Professor of Industrial Engineering at Penn State Behrend. She received the Ph.D. degree in Industrial Engineering from Clemson University and the M.S. in Applied Statistics from Syracuse University. Dr. Chan’s research interests include applied statistics, quality control in manufacturing process, and optimization.Dr. Yuan-Han Huang, Penn State University Dr. Yuan-Han Huang is an Associate Professor of Industrial Engineering and
Paper ID #44241Model-Based System Engineering Applied to Designing Engineering Labs toDynamically Adapt to Industry Trends - Case in Point: The Mechatronics,Robotics and Control LabPallavi Singh, University of South Florida Pallavi Singh received a bachelor’s degree in Electronics and Communication Engineering from Guru Nanak Dev Engineering College (GNDEC), Bidar, in 2016 and a master’s degree in Electrical Engineering from University of South Florida, Tampa, FL, USA, in 2019. Pallavi worked as a data science engineer, embedded system engineer, computer vision engineer, system engineer, project manager, and systems
discussion starts by explaining the relevance ofspectral analysis in real-world engineering applica�ons. Examples from different engineeringfields, such as telecommunica�ons, signal processing, audio processing, nondestruc�ve tes�ng,medical imaging, and vibra�on analysis, were shared with the students. The module consists oftwo parts, each of which takes one lecture.Lecture one: The fast Fourier transform FFT.This lecture starts by asking the following ques�on:“The data or the waveform is now discre�zed and acquired by the computer or microcontroller. How does one find the spectrum of this discrete data?”Figure 1 illustrates that x(t) is the discrete-�me date with a �me domain spacing of T=1/FS,where FS is the sampling frequency in hertz, Hz. Part b of