. 1Also, labs cannot be delivered remotely. R. Krishnamurthi [12] used Node-RED, a visualprogramming language developed by IBM, to develop a two-credit, lab-only course offered toundergraduate engineering students. This was a project-based course to study IoT sensors,gateways, and cloud services. Node-RED can model application functionality between IoTdevices but not the IoT devices themselves. This is useful for students to study the interactionbetween IoT devices, but it still requires investing in physical IoT hardware. M. Leisenberg andM. Stepponat [13] developed IoT demonstrators to be used for teaching. They usedThingSpeak, a publicly available cloud aggregator, and MATLAB to create a remote laboratoryexperiment on IoT-based analysis of
Paper ID #42580Paving Digital Infrastructure: Innovation Through an Educational VideoGame DatabaseAnthony Daniel Jones, Texas A&M University Anthony Jones is a studying engineering student and Project Lead for the LIVE Lab at Texas A&M University. His interest in research stems from wanting to learn about the research process and the opportunity of creating a tool for education. Joining the LIVE Lab in Fall of 2022, he gets lead a research team for the Database of EVGs and assist in research teams on the topic of Developing and Testing of Educational Video Games. Having presented or will present at conferences
, Pennsylvania State University, Berks CampusEric SakkChukwuemeka DuruFrank EfeMr. Pelumi Olaitan Abiodun, Morgan State University Pelumi Abiodun is a current doctoral student and research assistant at the Department of Civil Engineer- ing, Morgan State University, Baltimore, Maryland. Pelumi got his BSc and MSc degree in Physics from Obafemi Awolowo University, where he also served as a research assistant at the Environmental Pollu- tion Research unit, in Ile-Ife, Nigeria. As part of his contribution to science and engineering, Pelumi has taught as a teaching assistant both at Morgan State University and Obafemi Awolowo University. With a passion to communicate research findings gleaned from experts in the field as he advances
Paper ID #45336BOARD #108: DARE-AI: Discovery, Analysis, Research and ExplorationBased Experiential Learning Platform for Teaching Integrated AI and CybersecurityUtsab Khakurel, Howard University Utsab Khakurel is a Ph.D. candidate in the Department of Electrical Engineering and Computer Science (EECS) at Howard University, Washington, DC, USA, under the supervision of Dr. Danda B Rawat. Contact him at utsab.khakurel@bison.howard.edu.Prof. Danda B Rawat, Howard University Dr. Danda B. Rawat is an Associate Dean for Research & Graduate Studies, a Full Professor in the Department of Electrical Engineering & Computer
"Quantum Computing I & II" are designed to incrementally build astudent's understanding and skills in quantum computing. Each module is structured to achievespecific learning objectives:Quantum Computing I: • Fundamentals of Quantum Physics: Introducing the basic principles of quantum mechanics that underpin quantum computing, such as superposition and entanglement. • Quantum Computing Principles: Covering the theoretical foundations and the differences between classical and quantum computing. • Quantum Programming with Python: Teaching students to implement quantum algorithms using Python, making the course accessible to those with a background in conventional programming. • Practical Applications
, A. Ivey, J. Snyder, M. Skorodinsky, and J. Goode, “Intersectional perspectives on teaching: Women of color, equity, and computer science.”, in 2020 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT), Mar. 2020, (Vol. 1, pp. 1-4).[32] A. Johnson, G.C. Townsend, and K. Stewart, “Students of Color Organization Improves CS1 Grades.”, in Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2, Mar. 2022, pp. 1085-1085.[33] Palmer, R.T., Maramba, D.C. and T.E. Dancy II, “A qualitative investigation of factors promoting the retention and persistence of students of color in STEM.”, Journal of Negro Education, 80(4), 2011, pp. 491-504.[34] G.C
Paper ID #46891Rock paper symbols: Leveraging the spiral curriculum to teach coding inprimary schoolsDr. Brendan Jacobs, The University of New England Brendan Jacobs is an Associate Professor and Head of Department (STEM Education) at the University of New England, Australia. His research interests are in STEM education, explanatory animation creation, conceptual consolidation and digital scholarship.Solina Quinton, University of Waterloo Solina Quinton is an environmental engineering graduate from the University of Waterloo with a passion for education. Her experience in the field of engineering education began during her
, in 2016, and the B.S. degree in intelligent transportation engineering from Shanghai Maritime University, Shanghai, China, in 2014. He was Graduate Teaching Assistant for ECE1013 Foundations in ECE, ECE1022 Foundations in Design, ECE4713/6713 Computer Architecture, and ECE4753/6753 Introduction to Robotics at the undergraduate level and as a guest lecturer delivered graduate-level courses, ECE 8743 Advanced Robotics and ECE8833 Computational Intelligence. He received the ECE Best Graduate Researcher Award from the Department of Electrical and Computer Engineering, Mississippi State University in 2023. He received the Research Travel Award from Bagley College of Engineering, Mississippi State University in 2023
cognitive capacity and mental stability.Ms. Steffi N. Crasto, Center for Advanced and Emerging Technologies (CARET) Ms. Steffi Crasto holds a Master’s degree in Management of Technology from New York University, and a Bachelor of Engineering degree in Information Technology from the University of Mumbai. She is an Educational Evaluation Consultant, specializing in Learning Management Systems (LMS) technology, educational assessment, and data-driven learning analytics. Previously, she worked at Technical Consult- ing & Research, Inc., Weston, CT, and New York University.Mr. Pui Lam (Raymond) Yu, Technical Consulting & Research, Inc. Pui Lam (Raymond) Yu is the Executive Vice President Engineering at Technical
Management Systems, Industrial Civil Engineering, UNAB; Thesis Director, Computer Engineering, Business Administration Engineering, MBA, Utalca, UGM; Postgraduate Security, U.Chile. ˜ del Mar, ChileDr. Juan Felipe Calder´on, Universidad Andres Bello, Vina Juan Felipe Calder´on received the bachelor’s in computer science and MSc and PhD degrees in engineering sciences from the Pontificia Universidad Cat´olica de Chile. He is an assistant professor in the Faculty of Engineering at the Universidad Andres Bello. His research interests are learning design supported by technology, innovation in engineering education, sustainability in cloud computing, technological
Paper ID #37377WIP: Replication of a 1/5th-Scale Autonomous Vehicle to FacilitateCurriculum Improvement in Cyber EngineeringDr. Wookwon Lee, Gannon University Wookwon Lee, P.E. received the B.S. degree in electronic engineering from Inha University, Korea, in 1985, and the M.S. and D.Sc. degrees in electrical engineering from the George Washington University, Washington, DC, in 1992 and 1995, respectively. He is currently a full professor in the Department of Electrical and Cyber Engineering at Gannon University, Erie, PA. Prior to joining Gannon in 2007, he had been involved in various research and development projects in
graduates. In Proceedings of the fourth international workshop on computing education research, pages 71–78, 2008.[31] Amanpreet Kapoor and Christina Gardner-McCune. Considerations for switching: exploring factors behind cs students’ desire to leave a cs major. In Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, pages 290–295, 2018.[32] Matthew W Ohland and Russell A Long. The multiple-institution database for investigating engineering longitudinal development: An experiential case study of data sharing and reuse. Advances in Engineering Education, 5(2):n2, 2016.[33] U.S. Department of Education. The integrated postsecondary education data system (ipeds) glossary
Paper ID #36966Challenges and Experiences in Implementing a Specifications GradingSystem in an Upper-Division Undergraduate Computer Networks CourseDr. Mahima Agumbe Suresh, San Jose State University Mahima Agumbe Suresh is an Assistant Professor at San Jose State University. She received her Ph.D. from the Department of Computer Science and Engineering at Texas A&M University in December 2015, advised by Dr. Radu Stoleru. After her Ph.D., she was a postdoctoral researcher at Xerox Research Labs, India, where she worked on crime analytics and process mining. Her research interests include edge computing, machine learning
making video content more dynamic and instructionally effective.Research QuestionsThis research investigates student behavior in response to embedded quizzes within course videos inan online asynchronous undergraduate engineering course. The research was guided by the followingresearch questions: • What is the level of student interaction with embedded interactions in the course, as evidenced by quiz participation, time spent, and scores? • How do course design and policy decisions impact student interaction with embedded video quizzes? • How consistent is student participation across different quizzes throughout the course? • What trends can be observed in student performance on quizzes over time? • Are there
implications forpolicy and practice. The report also reviewed JEE's research agenda from 2006, which focusedon areas like engineering epistemologies and learning mechanisms. This analysis is aimed atguiding future research and inspiring innovations in engineering education.The articles included in this section underscore the need for rigorous, transparent methods tosynthesize research and inform practice. Despite the growing use of these methodologies,adherence to best practices is often lacking, limiting the impact and reliability of the reviews. Itis suggested that collaboration with trained experts could enhance the quality and effectivenessof SLRs in EE. As the field continues to evolve, embracing these strategies will be essential foradvancing
Paper ID #42963Teaching Programming Languages by Two Teachers: Instructor and ChatGPTDr. Alireza Kavianpour, DeVry University Dr. Alireza Kavianpour received his PH.D. Degree from University of Southern California (USC). He is currently Senior Professor at DeVry University, Ontario, CA. Dr. Kavianpour is the author and co-author of over sixty technical papers most of them published in IEEE journals or conferances. He has one pending patent . ©American Society for Engineering Education, 2024 Teaching Programming Languages by Two Teachers: Instructor and ChatGPTThis
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
, and management.abundance of research in the area, we still lack retention ofstudents in first-year computing. This is due to many factors C. What are CS I and II at Wentworthincluding, but not limited to, 1) student math preparation andreadiness from high school, 2) adjunct faculty teaching classes Computer Science I (CS I) is a foundational class that iswhere no common coursework is employed, 3) faculty teaching fundamental to the future success of students in computing ma-the same courses in different ways, creating inconsistency in jors at Wentworth. Other majors also rely on CS I to introducematerial covered, and 4) lack of tutoring for students who arestruggling, behind, or do not understand the material
of GenAI tools in undergraduate engineering education and itsimplications. This research identifies approaches that may be effective and transferable, and caninform future research, policy development, and instructional practices around the integration ofGenAI tools in engineering education. GenAI tools hold immense potential to revolutionizeengineering education, fostering innovation in teaching and learning. However, their integrationmust be approached thoughtfully, with a focus on addressing ethical challenges, ensuringequitable access, and preparing students and instructors to use these tools responsibly. Bybalancing opportunities with challenges, stakeholders can leverage GenAI to enhance the qualityand inclusivity of engineering
Paper ID #40200Plickers and Peer Instruction in a Software Design CourseDr. Drew Alex Clinkenbeard, California State University Monterey Bay Drew A. Clinkenbeard teaches in the School of Computing and Design and California State University Monterey Bay. He primarily teaches Software Design and Software Engineering courses designed for sophomores (both transfer and native students) and seniors respectively. Dr.Clinkenbeard primarily fo- cuses on educational research aimed at increasing achievement and equity in underrepresented student populations.Joshua B. Gross, California State University Monterey Bay Joshua Gross is an
they learn. This paper presents findings from the research partnership between a psychometrician andcurriculum advisor and two faculty members of Computer Science and Engineering in a Californianinstitution of higher education. The partners met weekly over the course of 2021-2022 academic year toexplore and refine their understandings of what it means to teach and assess with Inquiry, and developpractical examples to demonstrate Inquiry teaching as applied to engineering content. These meetingsincluded unpacking the data and evidence surrounding equity gaps, exploring methods in the literaturethat closes them, and innovating practical examples of Inquiry applied to engineering content to illustratepre- and post-teaching activities
Alghowinem models human behaviors using advanced AI frameworks. Her research focuses on mood and behavior recognition, using speech, gaze, and body movements to detect conditions like depression, suicide risk and deception. With a teaching background at the University of Canberra and a current role as Associate Director of postgraduate programs at Prince Sultan University, she possesses eight years of experience teaching computer science topics, such as AI, to diverse age groups.Dr. Aikaterini Bagiati, Massachusetts Institute of Technology Aikaterini (Katerina) Bagiati, Ph.D.: Having aquired a Diploma in Electrical Engineering and a Masters Degree in Advanced Computer and Communication Systems at the Aristotle University
theimplementation of a flipped classroom. A mixed research approach will be applied, usingquantitative and qualitative methods to assess students' perceptions. A demographiccharacterization questionnaire, the StRIP questionnaire previously adapted to the Chilean context[4], and statistical analyses, including ANOVA, will be used to examine the differences betweengroups of students subjected to different teaching methodologies.This document is organized into several sections. Following this introduction, a literature reviewon active methodologies in engineering education is presented, followed by a detaileddescription of the research methodology. Subsequently, the results obtained are explained anddiscussed in the context of the existing literature. Finally
Paper ID #48099Students’ Experiences of Learning Technical Writing in Computer ScienceCourses: Perspectives on AssessmentDr. Meghan Allen, University of British Columbia Meghan Allen is an Associate Professor of Teaching in Computer Science at the University of British Columbia, where she has been teaching since 2007. She holds a PhD in Curriculum and Pedagogy and is interested in designing curriculum, understanding student experience, and mentoring future teaching-focused computer science faculty members. ©American Society for Engineering Education, 2025 Students’ Experiences of
2022, the CS department converted more remote-teaching courses back toin-classroom, in-person courses compared to the earlier term. In the fall of 2022, almost allcourses were converted to in-person, in-classroom courses except a few courses.While we continued to collect data from the spring of 2019 to the fall of 2021, we discoverednoticeable enrollment trends throughout the COVID-19 pandemic period. Based on the data wecollected, we observed that the COVID-19 pandemic crisis significantly affected femalestudents’ enrollment in early programming courses (CS1, CS2, and CS3). We suspect it could bebecause female students tend to spend more time doing household chores or taking care of theirsiblings than male students.Previous research found
Engineering at Prairie View A&M University (PVAMU). She joined PVAMU right after she obtained her Ph.D. degree in Com- puter Engineering from Mississippi State University in 2003. Her research interests include image and video processing, data compression, wavelets, computer vision, remote sensing, and computing educa- tion. Her projects are currently funded by NSF, United States Department of Agriculture, and Department of Education.Dr. Bugrahan Yalvac, Texas A&M University Bugrahan Yalvac is an associate professor of science and engineering education in the Department of Teaching, Learning, and Culture at Texas A&M University, College Station. He received his Ph.D. in science education at the Pennsylvania
Ph.D. (1993) from the University of Rhode Island. He completed his PhD thesis in optimal control of drug administration in cancer chemotherapy. Dr. Farahani’s research interests are in dynamical systems, optimization and Algorithm design.Dr. Lu Zhang, National University Dr. Lu Zhang is a Professor at National University in the School of Technology and Engineering at National University. His main research interests include science and engineering education, database technologies, data sci ©American Society for Engineering Education, 2024 Examining ChatGPT in Educational Settings: Ethics, Challenges, and OpportunitiesAbstractRecently, a remarkable advancement in the
Paper ID #47048Unleashing Video Benefits: Student Perceptions in a Flipped ProgrammingCourseKwansun Cho, University of Florida Kwansun Cho is an Instructional Assistant Professor of the Department of Engineering Education, in the UF Herbert Wertheim College of Engineering. She has been teaching introductory computer programming courses for engineers. She holds two Masters’ degrees in Electrical and Computer Engineering from the University of Florida and Yonsei University, specializing in speech signal processing. Her educational research interests include improved flipped classroom teaching/learning for students, and
research questions: 1) How do NNES students interact with a LLM tutor, and how does this differ from native English speaker (NES) students? 2) How do NNES students’ views differ from NES students in regards to LLM tutor use? 2 II. R ELATED W ORKA. Non-Native English Speaker Stressors and LLM Assistance Past research has highlighted several challenges faced by NNES students in academic environments, particularly in fields likecomputer science [3, 17, 18, 26]. Alaofi and Russell highlighted various NNES student difficulties in CS1, including reading,understanding
Engineering. His research operates at the intersection of Computer Science Education, Learning Analytics, and Artificial Intelligence, focusing on enhancing programming education through innovative technologies and pedagogical approaches. He is currently developing AI-powered tools for student assistance and assessment in large programming courses. He holds a Master’s in Computer Science and Management from the University of Florida and a Bachelor’s in Computer Science and Engineering from Jaypee University of Information Technology, India. ©American Society for Engineering Education, 2025 Investigating Factors Influencing Performance in an Introductory Programming