the virtual labs for the course PHYS 303 offered atOld Dominion University (ODU), the proposed development techniques can be readily extendedto other courses that utilize these common instruments, including courses offered by universitiesand high schools. A preliminary user study conducted with the first lab module in the coursePHYS 303 demonstrated the effectiveness of the virtual lab.1. IntroductionIn the evolving landscape of educational technology, virtual labs have emerged as an importanttool, offering an alternative to traditional laboratory experiences. With technology's continualadvancement and integration in educational settings, virtual labs are increasingly gainingprominence. This trend is particularly evident in the fields of
Paper ID #41043ThermoVR: Using Virtual Reality and Playful Simulation to Teach and AssessIntroductory Thermodynamics ConceptsDavid J Gagnon, Field Day Lab @ UW-Madison David J. Gagnon is the research director of Field Day Laboratory at the University of Wisconsin - Madison. Field Day produces and researches educational video games that have won numerous awards (Serious Play, Meaningful Play, Public Media Awards,ASEE, and others) and are used by over a million students yearly in grades 4-20, across a diversity of subjects, from engineering to underwater archeology. Field Day is the organization behind Open Game Data, a
virtual laboratories presents a host ofintricate challenges, underscoring the importance of meticulous attention and inventive problem-solving. These challenges encompass the precise recognition of gestures, real-time responsiveness,accommodation of a wide array of gestures, user-centric design, and smooth integration with 2024 ASEE Annual Conference and Exposition Portland, Oregon, USA, June 23-26, 2024 Ali, M. & Zhang, Z.virtual laboratory tasks. Addressing these multifaceted issues necessitates a comprehensive ap-proach that melds advanced Gesture Recognition technologies with user-centric design principles,all while possessing a
laboratories. ©American Society for Engineering Education, 2024 Teaching Computer Architecture using VHDL Simulation and FPGA PrototypingAbstractAn Instructional Processor design example has been expanded to facilitate teaching of aComputer Architecture course. The system is modelled in VHDL and simulated using Xilinxdesign tools to demonstrate operation of the processor. A basic microcontroller is created byadding memory-mapped input/output (I/O). The system is implemented in hardware on a fieldprogrammable gate array (FPGA). The processor can then be interfaced with peripheral devicesto demonstrate functional applications.A key component of the Computer Architecture course is a student
considered the next stepforward to providing personalized, inclusive and accurate responses that address each student’squestions in an engaging and efficient manner. This information could pertain to course materialsand helping as a course tutor [5] or providing insight on university-specific knowledge, rangingfrom administrative procedures and scholarship opportunities to faculty research areas and campuslife insights.Institutional Support and Other NeedsThis project was initiated by the Department Head of Computer Science & Engineering, who wasworking with faculty in his home department and in the School of Chemical Engineering. TheirPredictive Analytics and Technology Integration Laboratory (PATENT) aims to accelerateadvances in several
computational thinking skills. Another line of research was the development of a simulated operating system, SimpleOS, that allowed students to run basic programs and visually see the state of the simulated memory, registers, and process queues in order to facilitate student learning. Dr. Hoskey has also collaborated with the Farmingdale State College Center for Applied Mathematics and Brookhaven National Laboratory on an undergraduate research program in the area of Signal Analysis. Dr. Hoskey received the 2017 Chancellor’s Award for Excellence in Teaching from the State University of New York.Dr. Ilknur Aydin, Farmingdale State College, SUNY, New York Ilknur Aydin is an Associate Professor of Computer Systems at
usefulpedagogical tool. To enhance the peer review process, this study implements sentiment analysis,specifically using a roBERTa sentiment analysis model [1], to provide a quantitative assessmentof reviews received by individual students. Additionally, the work quickly evolved to includeAI-based constructive criticism paraphrasing to allow for timely individualized feedback in alarge-enrollment setting. This work also explored the capabilities of an AI-based suite to aidreport graders in order to improve the efficiency of the grading and feedback process for largescale laboratory classes. The motivation for this work is to investigate the utility of ArtificialIntelligence as a way to increase the efficiency of the instructional team in large enrollment
Laboratories,Los Alamos National Laboratory and the Mozilla Foundation.REFERENCES [1] Forcael, E., Glagola, C., and González, V. (2012). ”Incorporation of Computer Simulations into Teaching Linear Scheduling Techniques.” J. Prof. Issues Eng. Educ. Pract., 138(1), 21–30 [2] Adams, W.K., Reid, S., LeMaster, R., McKagan, S.B., Perkins, K.K., Dubson, M., and Wieman. C.E. (2008a). A study of educational simulations part I—Engagement and learning. Journal of Interactive Learning Research, 19(3), 397-419.[3] Adams, W.K., Reid, S., LeMaster, R., McKagan, S.B., Perkins, K.K., Dubson, M., and Wieman, C.E. (2008b). A study of educational simulations part II—Interface design. Journal of Interactive Learning
thecapability for explaining complex concepts or subjects, creation of code, fixing errors in existingcode, mathematical problem solving, the ideation and planning of laboratory experiences, amongothers [6]. On the other hand, the importance in engineering of creativity, critical thinking, andthe ability to solve complex problems, presents an opportunity to maximize the potential of thistool and explore new ways to use it.Impact on Assignments The emergence of ChatGPT introduces several profound implications for engineeringeducation, reshaping traditional teaching methods and prompting a reevaluation of assessmentstrategies. Traditional assignments that have always been done in engineering education, such asstandardized tests and multi-answer
Paper ID #43691(Board 53/Work in Progress) Engaging the Next-Generation of IC Designerswith Puzzle-Solving CompetitionsProf. Daniel Limbrick, North Carolina A&T State University Dr. Daniel Limbrick is an associate professor in the Electrical and Computer Engineering Department at North Carolina Agricultural and Technical State University (NC A&T). As director of the Automated Design for Emerging Process Technologies (ADEPT) laboratory, Dr. Limbrick investigates ways to make microprocessors more reliable and secure through cross-layer design.Laura Marcela Garcia SuarezDeriech Cummings II, North Carolina A&T State
mobile learning," Journal of E-Learning & Knowledge Society, Article vol. 18, no. 3, pp. 166-177, 2022, doi: 10.20368/1971-8829/1135622.[11] B. Marks and J. Thomas, "Adoption of virtual reality technology in higher education: An evaluation of five teaching semesters in a purpose-designed laboratory," Education and information technologies, vol. 27, no. 1, pp. 1287-1305, 2022 2022, doi: doi:10.1007/s10639- 021-10653-6.[12] N. N. Kuzmina, E. G. Korotkova, and S. M. Kolova, "Implementing E-Learning in the System of Engineering Students Training," ed: IEEE, 2021, pp. 818-823.[13] K. Cook-Chennault and I. Villanueva, Exploring perspectives and experiences of diverse learners' acceptance of online
Technology," Technology Interface, vol. 10, no. 1, pp. 1523-9926, 2009.[3] R. K. a. J. Krivickas, "Laboratory instruc on in engineering educa on," Global Journal of Engineering Educa on (GJEE), vol. 11, no. 2, pp. 191-196, 2007.[4] B. Robinson, T. Tre er, J. Lewis and N. Hawkins, "Capturing First-Year Engineering Students’ Situa onal and Individual Interest via a Formal Makerspace Course," in 130th Annual American Society for Engineering Educa on (ASEE), Bal more, MD, USA, 2023.[5] B. Robinson, T. T., J. Lewis and N. Hawkins, "Measuring First-Year Engineering Majors' Interest in Engineering," in 128th Annual American Society for Engineering Educa on (ASEE), Virtual, 2021.
Engineering. She has worked for companies such as the Air Force Research Laboratory in conjunction with Oak Ridge National Labs and as an R & D Computer Science Inter 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.Dr. Mahnas Jean Mohammadi-Aragh, Mississippi State University Jean Mohammadi-Aragh is the Director of Bagley College of Engineering Office of Inclusive Excellence and Associate Professor in the Department of Electrical and Computer Engineering at Mississippi State University. Through her interdependent roles in research, teaching, and service, Jean is actively breaking down academic and social
], which introducessome active programming teaching methods. Portela employed four approaches to develop theinstructional plan, namely: BYOD, flipped classroom, gamification, and using the skills ofindividual students to solve posed problems. Tewolde presented a method for improving studentmotivation in a microcontroller-based embedded systems course to enhance students’ role inactive learning [10]. The method consists of three tools, namely: laboratory assignments forpractical hands-on activities, “peer teaching” techniques, and self-proposal, which enablesindividual creativity. For some complex and difficult to understand courses such as programmingalgorithms-related subjects, Garcia et al. [11] proposed a method in the form of
the engineering power industry and education sectors and is known for his thought leadership in capacity building and engineering education.Bolaji Ruth Bamidele, Utah State UniversityAbasiafak Ndifreke Udosen, Purdue University, West Lafayette Abasiafak Udosen is a professional Mechanical Engineer in Nigeria and a doctoral research scholar at ROCkETEd laboratory, Purdue University, United States. He earned a B.Eng in Mechanical Engineering and an M.Eng in Energy and Power Engineering both in Nigeria. Over the years he has had the privilege of teaching courses such as Thermodynamics, Measurement and Instrumentation, Engineering Metallurgy, System Design, and Quantitative research methods at the University of Nigeria
. Baharuddin, Ampera, D., Fibriasari, H., Sembiring, M. A. R., & Hamid, A. (2021). Implementation of cloud computing system in learning system development in engineering education study program. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 9(4), 728-740. https://doi.org/10.46328/ijemst.21144. Mell, P., & Grance. P. (2011). The NIST Definition of Cloud Computing. Computer Security Division Information Technology Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899-8930. http://csrc.nist.gov/publications/nistpubs/800-145/ Special Publication 800-1455. https://www.synopsys.com/cloud/insights/essential-cloud-computing- characteristics.html#:~:text=The%20National
. Information Access: Features like access to AI-powered educational videos or resources were seen as valuable additions.Problem-Solving and Engineering-Specific Functions: Complex Problem-Solving: Students emphasized the need for AI tools to tackle more intricate mathematical and physics problems effectively. Engineering-Specific Functionality: Features tailored to specific engineering disciplines and applications were highly desired. Lab Research Assistance: Students envision AI tools playing a supportive role in laboratory research activities.Visualizations and Explanations: Visual Answers: The ability to generate visual representations of solutions and concepts was highlighted as a critical
in Science and as Associate Director, Engineering Education Research Center at the University of Pittsburgh; Director of Research & Development for a multimedia company; and as founding Director of the Center for Integrating Research & Learning (CIRL) at the National High Magnetic Field Laboratory. His current efforts focus on innovation of teaching practices in STEM fields and systemic change within higher education.Dr. Ibukun Samuel Osunbunmi, Pennsylvania State University Ibukun Samuel Osunbunmi is an Assistant Research Professor, and Assessment and Instructional Specialist at Pennsylvania State University. He holds a Ph.D. degree in Engineering Education from Utah State University. Also, he has BSc and
graded exam, the students were given a laboratory assignment inwhich they interacted with ChatGPT-3.5 to obtain feedback on their MATLAB exam. Qualitativedata on the students’ experiences with the use of ChatGPT as a tool in studying were collectedand analyzed. The results revealed that while students found the capabilities of ChatGPTintriguing, they remained skeptical in the output and reasoning given in regard to their MATLABassignment.1 IntroductionIn November of 2022, OpenAI introduced ChatGPT, a natural language processing model, to theworld. Two months later, it gained 100 million users, making it the fastest growing consumer appin history [1]. The name stems from the model’s dependence on the Generative Pre-trainedTransformer (GPT
, PLDI ’14, page 259–269, New York, NY, USA, 2014. Association for Computing Machinery.[32] Ajin Abraham and Magaofei and Matan Dobrushin and Vincent Nadal . Mobile Security Framework (MobSF). https://github.com/MobSF/Mobile-Security-Framework-MobSF, Accessed: February 8, 2023.[33] Google LLC. VirusTotal. https://www.virustotal.com/gui/home/upload, Accessed: February 8, 2023.[34] Wikipedia. Wikipedia, the free encyclopedia, Accessed: February 8, 2023. URL http://en.wikipedia. org.[35] Wenliang Du and Ronghua Wang. SEED: A suite of instructional laboratories for computer security education. J. Educ. Resour. Comput., 8(1), 2008. ISSN 1531-4278.[36] Slack. https://slack.com/, Accessed: February 8, 2023.[37] Zoom Video
engineering education," ASEE Annual Conference and Exposition, Conference Proceedings, 2013, doi: 10.18260/1-2--19401.[5] D. J. Cox, "Production-Like Robotics and Automation Laboratory Resources for a Manufacturing Engineering Program," ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), vol. 5, Jan. 2018, doi: 10.1115/IMECE2017-72638.[6] "DOBOT M1 Pro SCARA Robot | Perfect for Small & Medium-sized Enterprises." https://en.dobot.cn/products/dobot-series/m1-pro.html (accessed Feb. 19, 2023).[7] "Robots for Higher Education." https://www.amtekcompany.com/robots-for-higher- education/ (accessed Feb. 19, 2023).[8] "Amazon.com. Spend less. Smile more." https://www.amazon.com
many engineering andcomputer science. Video creation posed more work and time for both students and instructors;however, there are educational benefits of requiring students to review and explain their work: itprovides authentic engineering communication practice and seeds a habit of metacognition.Introduction and Related WorkEducators design pedagogical methods, activities to support student learning, and assessments ofstudent learning, while often considering the theoretical framing of how students learn. Whileengineering and computer science learning experiences include hands-on, practical experienceswith active learning exercises, laboratory work, experiments, projects, and internships, examsremain a primary tool for assessing students