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
Paper ID #41414QCTaaS (Quality Cloud Teaching as a Service): An Immersive Frameworkfor Teaching Cloud Computing for Cybersecurity MajorsDr. Mahmoud K Quweider, The University of Texas Rio Grande Valley M K Quweider is a Professor of Computer and Cybersecurity Sciences at the U. of Texas at UTRGV. He received his Ph.D. in Engineering Science (Multimedia and Imaging Specialty) and B.S. In Electrical Engineering, M.S. in Applied Mathematics, M.S. in Engineering Science, and M.S. in Biomedical Engineering all from the University of Toledo, Ohio. He also holds a Bachelor/Master of English and a Master of Business Administration
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
technologies, and process improvement. He contributed to research directed to improve design and engineering education.Ahmed Sammoud, Pennsylvania State University, Behrend College Ahmed Sammoud is a Computer Science and Software Engineering faculty at Pennsylvania State University, The Behrend College. Ahmed is an avid computer scientist and engineer interested in reconfigurable computing, operating systems, video processing, Machine Learning, and Real-Time systems. ©American Society for Engineering Education, 2024Constructing Reconfigurable and Affordable Robotic Arm Platform to Teach AutomationAbstractSince its announcement in 2011, the concepts of Industry 4.0 (I4.0) have
Paper ID #42183WIP: AI-based Sentiment Analysis and Grader EnhancementsMr. Bobby F Hodgkinson, University of Colorado Boulder Bobby Hodgkinson is an Associate Teaching Professor in the Smead Aerospace Engineering Sciences Department (AES) and co-manages the educational electronics and instrumentation shop. He assists students and researchers in the department for sensor and data acquisition needs as well as manages several lab courses and experiments. He is a member of the Professional Advisory Board for the senior capstone projects course. Prior to joining Smead Aerospace department in 2012, he was the lab manager at
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
work in this area andconcludes the paper.2. BackgroundIn the latter part of 1995, Old Dominion University's Department of Physics started adopting amore uniform method for teaching undergraduate laboratory courses. Following this change, in1996, the department released the first edition of a comprehensive laboratory manual forundergraduates. This marked a significant shift in the instructional methodology forundergraduate physics at ODU. The development of virtual laboratories is set to enhance thisteaching approach further. With the integration of pre-arranged educational materials, includingvirtual labs, educators will be able to adhere to uniform teaching standards. This uniformity willensure that students receive a consistent and coherent
], 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
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
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
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
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
Stevens Institute of Technology. My research at Stevens is on robotics and virtual reality used in engineering education. My master’s degree was in Electrical Engineering, obtained from Southeast University. I received my bachelor’s degree in Mechanical Engineering at Southwest Jiaotong University. I have over 7-years of industrial experience as an electrical engineer and mechanical engineer. I also have extensive teaching experience with respect to various interdisciplinary courses involving Mechanical Engineering, Electrical Engineering, and Computer Science. ©American Society for Engineering Education, 2024 2024 ASEE Annual Conference and Exposition
Paper ID #44160Revolutionizing Engineering Education: The Impact of AI Tools on StudentLearningDr. Sofia M Vidalis, Pennsylvania State University Sofia Vidalis is an associate professor in the Department of Civil Engineering/Structural Design and Construction Engineering Technology at Penn State Harrisburg. She received her Ph.D., Masters, and Bachelors in Civil Engineering from the University of Florida.Dr. Rajarajan Subramanian, Pennsylvania State University Rajarajan Subramanian is currently serving as an Associate Teaching Professor of Civil Engineering and Construction (SDCET) programs at Pennsylvania State
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
defensive and analytic technology in mobile computing anddigital forensics1 . The ReScuE framework is highly scalable, and its labs cover different secu-rity and privacy facets of pervasive computing, which makes it versatile for various educationalpurposes. Between 2017 and 2022, we performed pilot studies, formal assessments, and contin-uous refinement at two institutions. The assessment results show that the ReScuE labs achievea high satisfaction rate and positive learning experiences regardless of students’ ethnic and aca-demic backgrounds. Similar results were observed even during the COVID-19 pandemic when wetransitioned to online teaching and learning.2 Related WorkThe rise of virtualization and cloud computing has enabled
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
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
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
using the Python programming language. ENGR 111 has studentsapplying the programming fundamentals while integrating circuitry.ENGR 111 was developed to use Arduino microcontrollers (Arduinos) as the primaryprogramming environment. One motivator for this decision was to show students that coreprogramming fundamentals are the same across multiple programming languages, i.e., an ifstatement is still a conditional that may have slightly different syntax. Arduinos are used inENGR 111 due to the ease in teaching basic circuitry and the interaction with the circuitry viaprogramming.The ENGR 111 course has a team-based Cornerstone project that all students complete,demonstrate, and present at the end of the semester. The course instruction, activities
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