and Research Methods DivisionTags: IoT, VM, Virtual, Raspberry Pi, student labs, project development, virtual labsAbstractThe growing field of the Internet of Things (IoT) is valuable for Engineering and EngineeringTechnology students to know. Due to COVID and often limited resources, this can be a difficulttopic to teach. The authors pioneered a way to implement the same IoT systems both withphysical devices and a Virtual Machine (VM) environment using a Raspberry Pi with servos,buttons, and lights. The VM used the Quick Emulator (QEMU) on the Ubuntu Linux platform.QEMU is a type 2 hypervisor that runs within the user space and performs virtual hardwareemulation. The authors developed educational activities which allowed AAS/AOS level
. ©American Society for Engineering Education, 2023 Preliminary Experience and Impact of Experiment-focused Teaching Approach in a Computer Architecture Course in Computer ScienceAbstract—One of the key knowledge areas in Computer Science (CS) is Digital Logic andComputer Architecture where the learning outcome is an understanding of Boolean algebra, logicgates, registers, or arithmetic logic units, etc. and explaining how software and hardware arerelated to a computing system. Experimental Centric based Instructional Pedagogy (ECP) withportable laboratory instrumentation might provide real hands-on experience to obtain a practicalunderstanding of those concepts at a lower cost compared to virtual hands-on laboratories thatlack direct
Paper ID #37199Developing the ITL framework and committing to inquiry as a method forreducing equity gaps in high-impact, computer science and engineeringcoursesDr. Sagnik Nath, University of California, Santa Cruz Sagnik Nath received his PhD in Electrical Engineering from Renssalaer Polytechnic in 2020 and his B.E. in Electronics and Communications Engineering in 2015 from Indian Institute of Engineering Science and Technology, Shibpur, India. He is currently a Teaching Professor at the Computer Science and En- gineering division of Baskin Engineering at UC Santa Cruz. His research interests include incorporating DEI in
the fundamentals ofembedded systems and IoT.” Some other student responses to this question are as follows.“developing real world work”,“The professor really helped us in anyway she could.”Next, the students were asked “Did you understand what was expected of you in this course?”. Inresponse to this question, 50% replied Extremely well, 25% Well and 25% reasonably well. As areply of the question “Were you adequately prepared in the prerequisite course to take this course?”, 50% response was Extremely Well, 25% replied Well and 25% students responded poorly.5 ConclusionsIn this paper, I presented some laboratories that the students conducted using a remote simulationtool: Tinkercad. The pedagogical approach of remote teaching was briefly
Paper ID #40240Building and Testing an Economic Faraday Cage for Wireless, IoTComputing Education and ResearchColton HotchkissDr. Ananth Jillepalli, Washington State University https://www.linkedin.com/in/ajillepalliStu SteinerDaniel Conte de LeonDr. Herbert L. Hess, University of Idaho Herb Hess is Professor of Electrical Engineering at the University of Idaho. He received the PhD Degree from the University of Wisconsin-Madison in 1993. His research and teaching interests are in power electronics, electric machines and drives, electricDr. Brian K. Johnson P.E., University of Idaho Brian K. Johnson received his Ph.D. in
students, and saving faculty time. Stylus Publishing, LLC, 2015. [9] Kate J McKnelly, William J Howitz, Taylor A Thane, and Ren´ee D Link. Specifications grading at scale: Improved letter grades and grading-related interactions in a course with over 1,000 students. 2022.[10] William J. Howitz, Kate J. McKnelly, and Ren´ee D. Link. Developing and implementing a specifications grading system in an organic chemistry laboratory course. Journal of Chemical Education, 98(2):385–394, 2021. doi: 10.1021/acs.jchemed.0c00450.[11] Dennis Earl. Two years of specifications grading in philosophy. Teaching Philosophy, 45(1):23–64, 2022.[12] Ella Tuson and Tim Hickey. Mastery learning and specs grading in discrete math. In Proceedings of the 27th
the past worked as an assis- tant researcher in the group of educational Technologies at Eafit University in Medellin, Colombia. His research area is the online Laboratories ©American Society for Engineering Education, 2023 Learning Outcomes as a Self-evaluation Process Catalina Aranzazu-Suescun, Ph.D.1 and Luis Felipe Zapata-Rivera, Ph.D.2 1 Assistant Professor, Department of Cyber Intelligence and Security 2 Assistant Professor, Department of Computer, Electrical and Software Engineering Embry-Riddle Aeronautical University, Prescott CampusAbstractLearning outcomes are measurable statements that can be used to
Computer Engi- neering at Morgan State University. He also serves as Director of the Engineering Visualization Research Laboratory (EVRL). Under his direction, EVRL has acq ©American Society for Engineering Education, 2023 Holistic Review of Multi-Site Combined REU/RET Program and the Long-Term Effects of Hybrid Mode of Instruction AbstractTo increase the participation and graduation rates of post-secondary students fromunderrepresented and minority groups in the field of engineering, the Smart City ResearchExperience for Undergraduates (REU) and Research Experience for Teachers (RET) (SCR2)Mega-Site program was introduced in 2018. The SCR2
Paper ID #38210Labor-based Grading in Computer Science: A Student-Centered PracticeChris MarriottMenaka AbrahamDr. Heather E. Dillon, University of Washington Dr. Heather Dillon is Professor and Chair of Mechanical Engineering at the University of Washington Tacoma. Her research team is working on energy efficiency, renewable energy, fundamental heat transfer, and engineering education. Before joining academia, she worked for the Pacific Northwest National Laboratory (PNNL) as a senior research engineer working on both energy efficiency and renewable energy systems, where she received the US Department of Energy Office of
Paper ID #36820Giving Students a View of Buffer Overflow with Readily Available ToolsMs. Cheryl Lynn Resch, University of Florida BS, MS Mechanical Engineering University of MD MS Computer Science Johns Hopkins University 29 years at JHU Applied Physics Laboratory 12 years in cybersecurity. Cybersecurity architecture for US government ©American Society for Engineering Education, 2023 Experience Report: Giving Students a View of Buffer Overflow with Readily Available ToolsAbstractBuffer overflow is one of the most common vulnerabilities reported by the CommonVulnerabilities and
not limited to, embedded technology, autonomoustechnology, edge and end-point technologies. Compared to cybersecurity in general, however,cyber engineering still requires further refinement in its curriculum coverage. The currentcurriculum for the cyber engineering program at our university is centered on cyber physicalsystems (CPS) and their security including device-level security, boot security, and attack-resilienthardware/middleware. As an engineering curriculum, cyber engineering also requires a variety ofhands-on laboratory-based learning as well. To better facilitate hands-on learning in a curricularsetting, we have been developing a 1/5th-scale autonomous vehicle as a framework of cyberphysical systems for a set of cyber engineering
roles within higher education; secured over $5.5M support for STEM education research; and led several program development efforts, including: a childcare facility at a federal research laboratory, an M.S. Molecular Biology/Biotechnology degree program at a small internationally-focused teaching insti- tution, and a first-year engineering program and a B.S. Engineering Technology degree program at an R1 research institution. She has been recognized for her teaching, advising, and service, and as an Exemplary Faculty Member for Excellence in Diversity, Equity, and Inclusion.Prof. Katerina Goseva-Popstojanova, West Virginia University Dr. Katerina Goseva-Popstojanova is a Professor at the Lane Department of Computer
Paper ID #39747A network analysis of the Twitter-Rxiv ecosystem for purveyors ofscience misinformation in preprints on the COVID-19 pandemicDavid C. Brown, University of North Carolina at CharlotteMr. Erfan Al-Hossami, University of North Carolina at Charlotte Erfan Al-Hossami is a Ph.D student at UNC Charlotte. Erfan has been mentored in teaching CS1 since 2016 and then in CS education research. His work mainly focuses on predictive learning analytics. His research interests include Machine Learning, NLP, anZhuo ChengAlyssa Lasmarias AlamedaTia Nicole JohnsonDr. Mesbah Uddin, University of North Carolina at Charlotte Dr Mesbah