Paper ID #45741Exploring the Effective Use of ChatGPT in a Sophomore-Level DynamicsCourseRyan Carr, U.S. Air Force Academy Ryan Carr received his PhD from the Air Force Institute of Technology (AFIT) in 2017 focused on optimal control theory in guidance, control, and navigation or aerospace systems. He was an engineer and branch chief at the Air Force Research Laboratory (AFRL), a flight test engineer the Air Force Test Center (AFTC), and a program manager at the Air Force Office of Scientific Research (AFOSR). He joined the faculty at the United States Air Force Academy in 2023 as an Assistant Professor of Mechanical
Gerhart, Ph.D. is a Professor of Mechanical Engineering at Lawrence Technological University. He is a Fellow of the Engineering Society of Detroit and is actively involved in ASEE and the American Society of Mechanical Engineers. He serves as Faculty Advisor for the American Institute of Aeronautics and Astronautics Student Chapter at LTU, director of IDEAS (Interdisciplinary Design and Entrepreneurial Applications Sequence), chair of the First Year Engineering Experience committee, supervisor of the LTU Thermo-Fluids Laboratory, coordinator of the Certificate/Minor in Aeronautical Engineering, and faculty advisor of the LTU SAE Aero Design Team. Dr. Gerhart conducts workshops on active, collaborative, and problem
Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us), University of Maryland, Baltimore County (UMBC), Baltimore, MD. He has been the Founding Chair of Trustworthy Internet of Things (TRUST-IoT) Working Group within IEEE IoT Technical Community since 2024. He was a Distinguished Visiting Fellow of the Scottish Informatics and Computer Science Alliance (SICSA) in 2024. He is currently the Co-Editor-in-Chief (Co-EiC) of IEEE Transactions on Industrial Informatics (2025-present). He serves as an Associate Editor for IEEE Transactions on Artificial Intelligence (TAI) (2023-present), IEEE Transactions on Intelligent Transportation Systems (2021-present), and IEEE Journal on Miniaturization for Air and Space
, networks,cybersecurity, and their use in various disciplines and careers. This course involves one hour oflecture and two hours of structured laboratory each week. The lab segment introduces students toselected popular applications such as spreadsheets and web page development software andcybersecurity hands on exercises.Prerequisite: None.The Cybersecurity and AI modules are offered as part of the CS150 course. The title of the IBMCybersecurity module is Getting Started with Threat Intelligence and Hunting (Introduction toCybersecurity), and the title of the AI module is Getting Started with Artificial Intelligence(Introduction to Artificial Intelligence).They are self-paced learning modules with assistance from the instructor. Upon the
andinterviews. Students emphasized the necessity for individualized assistance and aggressiveengagement from instructors and advisors. A student remarked on the absence of earlyassistance, stating, "If anybody is struggling at that point, a better early warning system isneeded." Another individual noted the absence of guidance during their second semester: "I hadto figure out my second semester all on my own, and it set me up for failure." Many studentsadvocated for the compulsory utilization of services, such as the Math Learning Center, toguarantee participation with academic assistance.Furthermore, there was a request for increased practical exercises and laboratory trips to enhancethe curriculum, with one student stating, "More hands-on experiences
, P.-C., Kronholz, J. F., Dozier, V. C., McClain, M.-C., Buzzetta, M.,Pawley, E. K., Finklea, J. T., Peterson, G. W., Lenz, J. G., Reardon, R. C., Osborn, D. S.,Hayden, S. C. W., Colvin, G. P., & Kennelly, E. L. (2014). A content analysis of careerdevelopment theory, research, and practice-2013. The Career Development Quarterly, 62(4),290–326. https://doi.org/10.1002/j.2161-0045.2014.00085.xSapir, A. and Oliver, A. L. (2016). From academic laboratory to the market: Disclosed andundisclosed narratives of commercialization. Social Studies of Science, 47(1), 33-52.https://doi.org/10.1177/0306312716667647Siegel, D.S. and Wright, M. (2015). Academic Entrepreneurship: Time for a Rethink? Brit JManage, 2694), 582-595. https://doi.org/10.1111
will involve engineeringGoal Motivation (Likert Scale 1-7) [Adapted from [16]] ● I like to do better than other students on engineering course exams ● Getting a good grade on engineering course exams is important to me ● I think about the grades I will get in engineering courses ● Scoring high on engineering tests and laboratory work matters to me a lotSense of Belonging (Likert Scale 1-7) ● I feel accepted at the UC San Diego ● I feel comfortable at the UC San Diego ● I feel supported at the UC San DiegoEMPOWER Program Specific Questions ● Are you currently an EMPOWER Scholar (admitted to the EMPOWER program)? ● How often have you participated in the EMPOWER program activities? ● How, if at all, have
research (e.g., new robot platforms) encourages higher-level learning and showcases a capacity for independent exploration.References [1] J. M. Esposito, “The state of robotics education: Proposed goals for positively transforming robotics education at postsecondary institutions,” IEEE Robotics Automation Magazine, vol. 24, no. 3, pp. 157–164, 2017. [2] E. Tosello, S. Michieletto, and E. Pagello, “Training master students to program both virtual and real autonomous robots in a teaching laboratory,” in 2016 IEEE Global Engineering Education Conference (EDUCON), 2016, pp. 621–630. [3] T. Tsoy, L. Sabirova, R. Lavrenov, and E. Magid, “Master program students experiences in robot operating system course,” in 2018 11th
an undergraduate digitalsystems laboratory using a remote lab approach. Reid4 in the Electrical and Computer EngineeringTechnology Department at IUPUI studied the conversion of two courses (Digital Fundamentals andC++ programming) has gradually changed two courses from a traditional lecture / laboratoryformat to an online format. They found that student success was comparable to success in atraditional format using a self-assessment and final exam scores. But they found serious issues withstudent retention and with student satisfaction with the online format of course offering. Pisupatiand Mathews5 found out that “the average quiz scores for online and face-to-face sections wereidentical”. They also found out similar average scores for the
credit hours. EGE 210 met for 65 minutes threetimes per week and was supported by a weekly 100-minute laboratory. BME 412 met for 100minutes twice per week.Table 1: Course Learning Objectives for the Two Flipped Courses Learning Objectives for EGE 210: Statics Learning Objectives for BME 412: and Dynamics Biomedical Transport 1. Apply the principles of static 1. Correlate biological structures to the equilibrium to particles and rigid role they play in transport phenomena bodies 2. Describe diffusion with and without 2. Analyze truss and
to the integration of AI in learning and teachingin the Global South will also call Governments to train local researchers and developers, to forgepartnerships with external entities and to integrate digital skills training into primary andsecondary school curricula (Chinasa T. Okolo, 2021).Menekse, despite raising some risks that students who rely too much on AI might lose interestand curiosity, also shows some confidence in AI. In the guest Editorial of the JEE (June 2023),he explains how AI-powered virtual laboratories, seen as able to simulate physical experimentsand visualize fundamental engineering concepts, could be effective for teaching and learningpurposes. Also, Large Language Models (LLMs) are presented as able to provide
burnout. Additionally, undergraduate nurses in training partaking in clinical rotations may observe practicing nurses using A common method to prepare future nurses for the rigors of strategies outside or against their academic training in high-the clinic is to provide real-life simulation laboratory (Sim- pressure situations, further widening the gap [5]. Sim-LabsLab) experiences where training institutions create simulated, have the potential to address the theory-practice gap byreal-world, healthcare spaces with accurate equipment, allowing nurses to apply their formal education to the clinicalsimulated patients, and
established research labs thatwould provide peer mentoring and a CoP for the incoming ECHS students. Leveraging existinglab infrastructure for professional, technical skill, and community development was ideal forremoving additional burden to those facilitating the program, both at the ECHS and universitylevels. The faculty mentors’ preparation and training played a critical role in creating an inclusive,effective research environment. For example, mentors tailored their feedback to meet students attheir developmental stage. They focused on practical skills like poster presentations, writing forresearch, and hands-on laboratory experimentation. One participant highlighted the value ofthese experiences: “This REU was significant in me feeling
and build asupport group. The goal of the pillar is to provide spaces for students to connect and offersupport through the program and beyond.Academics: The program offers academic courses in mathematics, chemistry, and programmingto prepare engineering students in academics to ensure success in the the fall semester. Themathematics placement is based on individual ACT scores among college algebra, pre-calculus,and calculus I. The mathematics courses are offered with credits, allowing students to advance intheir curriculum.Engineering at MSU: The program offers learning experiences in laboratories and researchcenters to enlighten students with the many opportunities offered by the institution for studentdevelopment and success. This pillar
test apparatus for an engineering laboratory course," Computer Applications in Engineering Education, 2024.[18] T. M. Carrigan and B. A. Brooks, "Q: How Will We Achieve 20% by 2020? A: Men in Nursing," Nurse Leader, pp. 115-119, 2016.
Electrical and Computer Engineering. She has worked for companies such the Air Force Research Laboratory in conjunction with Oak Ridge National Labs and as an R & D Intern for Sandia National Labs conducting Natural Language Processing and AI research and was inducted into the Bagley College of Engineering Hall of Fame in 2021.Alexis P. Nordin, Mississippi State University Alexis Nordin is currently an Instructor II in the Shackouls Technical Communication Program in Mississippi State University’s James Worth Bagley College of Engineering. She has taught technical writing and various other writing- and communication-based courses at MSU since 2004. She holds bachelor’s and master’s degrees in English from Mississippi
://blogs.mathworks.com/community/2023/11/07/the-matlab-ai-chat-playground-has-launched/. [Accessed November 12, 2024].[9] E. Robledo, “Powering Your Products: Autodesk Fusion 360 Electronics Highlights YouDon’t Want to Miss,” Autodesk, September 7, 2023. [Online] Available:https://www.autodesk.com/products/fusion-360/blog/autodesk-fusion-360-electronics-highlights/. [Accessed November 12, 2024].[10] J. Wendel, “ChatGrid™: A New Generative AI Tool for Power Grid Visualization,” PacificNorthwest National Laboratory, February 22, 2024. [Online] Available:https://www.pnnl.gov/news-media/chatgridtm-new-generative-ai-tool-power-grid-visualization.[Accessed November 12, 2024].[11] Y. Wang, M. Wang, M. A. Manzoor, F. Liu, G. Georgiev, R. J. Das, and P. Nakov
perspectives. The review also found studentssometimes failed to see the relevance of producing videos. The existence of this review led theauthors of this paper to lessen emphasis on literature that was older than about seven years.Within the past seven years (i.e. after the review documented in [10]), videos were successfullyused during the COVID-19 pandemic. Two examples are [11] and [12]. Therein, implementationof video modules into classrooms has shown students responded favorably and were engaging andcomprehensive as they aided course content understanding. Also, these references showed videoassignments being effectively implemented into laboratories. During this same time frame, [13]showed videos were helpful for peer learning.Based on the
gender composition impact student experiences in a project-based first-yearengineering course?Methods:This study examines the effects of group size on the experiences of first-year engineeringstudents working in mixed-gender groups. This research involves analyzing data collected fromstudents following their first-year experience in the Watson College of Engineering and AppliedScience at Binghamton University in the 2023/2024 academic year. During their first year, thesestudents took part in project-based curricula each semester.There are three main components of this first-year engineering program, a large lecture with 200-400 students, activity/laboratory sections of about 24 students each, and a discussion sectionswith those same 24 students
for Wright’s Engineering Program and the NSF: HSI ”Building Bridges into Engineering and Computer Science” grant since its inception. She is committed to cultivating an inclusive educational environment which respects the diversity of students, while providing attentive student support. Prior to joining Wright College, Ruzica obtained her PhD in Chemical Engineering from the University of Illinois at Chicago, and conducted experimental and computational research at Argonne National Laboratory. ©American Society for Engineering Education, 2025 Bridging Gaps and Building Pathways to Increase Transfer through Data- Driven, Innovative, and Evidence-Based Strategies at Community CollegeI
courses such as CHE334 TeamStrategies for Engineering Design. The corresponding implementation example is presented anddiscussed, as well as our reflections on missing components, challenges, and a feasible roadmapfor mapping E.D. 5.0 with I.D. 5.0 and Society 5.0.ResultsThe current design spine of our UG Chem Eng mostly includes core courses leading to acquiringknowledge and skills to be finally implemented in a 4th-year capstone course. Our verticallyintegrated curriculum, through a biodiesel production initiative, links unit operations/processdesign to laboratory efforts, aiming at reinforcing Chemical Engineering Design [8]. Moreover, 3standalone projects in courses such as Heat and Mass Transfer
,” presented at the 2013 ASEE Annual Conference & Exposition, Jun. 2013, p. 23.345.1-23.345.12. Accessed: Mar. 03, 2021. [Online]. Available: https://peer.asee.org/course-related-undergraduate- projects-for-dynamics[15] “PASCO scientific | Science Lab Equipment and Teacher Resources,” PASCO scientific. Accessed: Jan. 14, 2025. [Online]. Available: https://www.pasco.com/[16] M. J. Ford, S. Fatehiboroujeni, E. M. Fisher, and H. Ritz, “A Hands-On Guided-Inquiry Materials Laboratory That Supports Student Agency,” Adv. Eng. Educ., vol. 11, no. 1, pp. 77–104, 2023.[17] S. Pal and R. Zaurin, “Work in Progress: Project-Based Homework: An Ongoing Study on Engineering Analysis-Dynamics,” presented at the 2021 ASEE Virtual Annual
of the value of stakeholder engagement during engineering design,” J. Eng. Educ. Wash. DC, vol. 109, no. 4, pp. 760–779, 2020, doi: 10.1002/jee.20356.[16] J. L. Hess, S. Miller, S. Higbee, G. A. Fore, and J. Wallace, “Empathy and ethical becoming in biomedical engineering education: a mixed methods study of an animal tissue harvesting laboratory,” Australas. J. Eng. Educ., vol. 26, no. 1, pp. 127–137, Jan. 2021, doi: 10.1080/22054952.2020.1796045.
energy. The next subsectionincludes real-life examples of the systems and technologies found through the authors’experiences. Rounding out the discussion are links to more advanced materials, such as textbooksections and deep dives into each of the calculations and considerations in the design andconstruction.The materials chosen for these sections come from various sources. The National RenewableEnergy Laboratory, the U.S. Energy Information Administration, research papers, and companiesthat work on these technologies were selected to provide the information. The variation in thesources provides several perspectives, information, opinions, and methods of instruction.Student Continent PresentationsThe students were divided into groups of four
, personalized online learning experiences. We evaluate the effectiveness of this methodthrough a series of case studies and provide guidelines for instructors to leverage these technologiesin their courses.1 IntroductionLarge Language Models (LLMs) and their emerging skills provide educators with new capabilitiesto improve our teaching and save time. LLMs like ChatGPT have emerged as powerful tools thatcan assist in creating educational content and interactive learning experiences [1].For digital system design and computer architecture, traditional education often relies on expen-sive hardware, specialized software, and physical laboratory spaces. These requirements can limitaccess to hands-on learning experiences, particularly for students in
educational strategies, aiming to understand and improve both the teaching and learning experiences in engineering and technology, especially virtually.Dr. Dong Zhao, Michigan State University Dr. Dong Zhao is an Associate Professor of Construction Management and Civil Engineering and serves as the director of Human-Building Systems Laboratory at Michigan State University. Prior to joining MSU, he earned his PhD at Virginia Tech. He is elected the Vice Chair of the American Society of Civil Engineers (ASCE)’ Data Sensing and Analysis Committee and holds the credential of a LEED Accredited Professional. His research focuses on human-building integration towards smart and sustainable cities. His work has been recognized with
evaluation of students’ performances that relate tospecific SOs. Evaluations of exams, laboratory reports, or project deliverables that are designedto address specific SOs link directly to numerical evaluation of those SOs.Indirect assessments provide insights into perceptions of learning and program effectiveness,which may be particularly valuable if gathered from third parties, such as internship mentors.However, the sources of indirect assessments are not usually designed for SO assessment. Forthese resources to be effective assessment tools, their composition must be evaluated and, wherepossible, their content must be mapped to specific SOs. Using both direct and indirectassessments as part of an ABET evaluation process improves program
journals, laboratory notes, files, and sketches that document discoveries, ideas, design details, and implementation strategies. Now it is your turn to document your insights, understandings, experiences, inspirations, and ideas! The goal of this portfolio is to help you document your creativity enhancement throughout this course and to help you build a habit of creativity for your future.The more nuanced learning objectives of the Portfolio include that as a result of this project,students will: 1. Produce a complete, functional, and appealing system to record and cultivate ideas daily. 2. Enhance their creativity by re-kindling their curiosity, discovering opportunities, and practicing ideation. 3
wasoriginally meant to be a laboratory, but a collaborative effort between the Deans of Engineeringand the Libraries led to the transition. No books are held on site; instead, the space is used as astudent study area, with different sections of the library for individual and group study.[3]At Cornell University, the Engineering Library completed a move to a fully bookless format in2011. The transition came after budget cuts necessitated a consolidation of several subjectlibraries. The entire engineering print collection, including course reserves and reference books,was moved to the main library. All planning was done internally, with the renewed space nowfocused on electronic collections and providing more study areas for students to use.[4]In a two
of secondary metabolites from environmental bacteria and fungi. Currently she is also the PI for a Robert Noyce Teacher Scholarship Program award at IWU.Brian J. Bellott, Western Illinois UniversityDr. Mahua Biswas, Illinois State University Dr. Mahua Biswas is an Associate Professor of Physics at Illinois State University. She earned her Ph.D. in Physics from Dublin City University, Ireland, and subsequently conducted postdoctoral research at the New Jersey Institute of Technology, New Jersey, USA and Argonne National Laboratory, IL, USA. Dr. Biswas’s research focuses on nanopatterning inorganic materials for microelectronic and optoelectronic applications. Her work emphasizes spectroscopic