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