, University of California, Davis. He performs research in sensors and nonlinear oAkash Kashyap ©American Society for Engineering Education, 2023 KarmaCollab: A Communication Platform for Collaborative Learning Damitu Robinson, Nicholas Hosein, Andre´ Knoesen, Akash Kashyap Abstract The COVID-19 pandemic has forced universities to transition to a fully online format, resulting in a renewed interest into how technology can aid learning while physically apart. While many courses can easily transition to video streaming, others such as STEM laboratory classes, require hands-on training
Science from Portland State University. Dr. Alawini has worked in various roles in the tech industry, including as a database administrator, lead software developer, and IT Manager. He conducts research on data management systems and computing education. Dr. Alawini is passionate about building data-driven, AI-based systems for improving teaching and learning. ©American Society for Engineering Education, 2023 Identifying Collaborative Problem-Solving Behaviors Using Sequential Pattern MiningAbstractWith the increasing adoption of collaborative learning approaches, instructors must understandstudents’ problem-solving approaches during collaborative activities to better
Paper ID #42329Enhancing STEM Education: Integrating Collaborative Technologies in Micro-Teachingfor Pre-service TeachersDr. Gerald Tembrevilla, Mount Saint Vincent University Gerald Tembrevilla obtained his PhD in science (physics) education at the University of British Columbia. He served as a postdoctoral fellow in the Faculty of Engineering at McMaster University. Currently, Gerald is an Assistant Professor in the Faculty of Education at Mount Saint Vincent University in Halifax, Canada. He teaches and conducts research on the integration of emerging, learning, and collaborative technologies to enhance hands-on science
pursuing a M.S. in Mechanical Engineering at the Johns Hopkins University.Raphael Norman-TenazasAdam GoertzMr. Erik C. Johnson, University of Illinois, Urbana-ChampaignWilliam Roberts Gray-Roncal ©American Society for Engineering Education, 2023 BOLT: A SwarmAI Testbed for workforce development and collaborative, interdisciplinary researchAbstractEducating the next generation of AI researchers requires methods which teach the software tools,theoretical concepts, and domain knowledge specific to the field. To help develop these keyskills, we focus particularly on the area of Swarm AI, which, in general, covers the autonomousoperation of a large number of agents in a single environment
technical committee member and reviewer. Dr. Aydin has published and presented in peer reviewed venues about women in computing and broadening the participation over a decade. Dr. Aydin is the 2023 recipient of the Farmingdale Foundation Excellence Award for faculty service. ©American Society for Engineering Education, 2024 Student Perspectives of Collaborative Learning Techniques (CoLT) in Introductory Computing Classes Lisa M. Cullington Nur Dean Mary Villani Provost’s Office Computer Systems Computer Systems Sacred Heart University Farmingdale State College Farmingdale State
Manufacturing Engineering at University of Southern California. His current professional interests include design thinking, collaborative engineering, technological innovation, and education reform. He has over 330 ©American Society for Engineering Education, 2024 ChatGPT and Me: Collaborative Creativity in a Group Brainstorming with Generative AIIntroductionThe emergence of generative AI (genAI), exemplified by ChatGPT, offers unprecedentedopportunities to the education system. However, as this technological advancement gainsmomentum, concerns surrounding hallucination [1, 2] and academic integrity [3, 4] have beenraised, casting doubt on its applicability in educational
Accrediting Engineering Technology Programs: 2024–2025. [Online].Available: https://www.abet.org/wp-content/uploads/2023/05/2024-2025_ETAC_Criteria.pdf[2] M. Shaikh, “How to form a software engineering capstone team?,” Heliyon, vol. 7, no. 4, p.e06629, 2021, doi: 10.1016/j.heliyon.2021.e06629.[3] G. Elwell, T. Dickinson, and M. Dillon, “A postgraduate capstone project: impact on studentlearning and organizational change,” Industry and Higher Education, vol. 36, no. 3, pp. 334–343, 2021, doi: 10.1177/09504222211036584.[4] S. Pociask, D. Gross, and M. Shih, “Does team formation impact student performance, effortand attitudes in a college course employing collaborative learning?,” Journal of the Scholarshipof Teaching and Learning, vol. 17, no. 3, pp
publications, he has crafted multiple augmented reality tools to enhance student comprehension in lessons. His recent research focuses on the collaboration within augmented reality educational applications and its impact on student skills. Personal Website: https://malekelkouzi.com/ Google Scholar : https://scholar.google.ca/citations?user=9yDr. Omar I.M Bani-Taha, Carleton UniversityRichard Reeve, Queen’s University ©American Society for Engineering Education, 2025 Fostering Collaborative Learning in Elementary Classrooms: An Investigation of Augmented Reality Science Applications as a Supportive Tool Abstract. The goal of this article is to look at the use of Augmented Reality (AR
Paper ID #46417BOARD # 94: WIP: Shaping the Future of Learning: The rAIder Strategyfor Applied AI-Driven Education at MSOEDr. Nadya Shalamova, Milwaukee School of Engineering Nadya Shalamova is an Assistant Professor and the Director of the Technical Communication Program at the Milwaukee School of Engineering. Her research interests include interdisciplinary collaboration in engineering, science, and technical communication.Dr. Olga Imas, Milwaukee School of Engineering Olga Imas, Ph.D., is a professor of biomedical engineering at the Milwaukee School of Engineering, where she teaches a variety of courses in biomedical
Paper ID #48429BOARD # 76: Pedagogical Agents in the age of Generative Artificial Intelligence:Opportunities and Challenges in K-12 STEM Education.Mrs. Rawan Adnan Alturkistani, Virginia Tech Department of Engineering Education Rawan Alturkistani is a Ph.D. student in Computer Science at Virginia Tech. She holds a Master’s degree in Computer Science from Bowling Green State University (BGSU). Her research focuses on the intersection of artificial intelligence and education, with a particular interest in the design and impact of pedagogical agents in technology-enhanced learning environments. She is currently exploring the
writing and communicate its results through written and oral reports. Currently he is exploring the use of generative AI to provide format feedback to students as they generate these work products.Mrs. Fadhla Binti Junus, Purdue Engineering Education A former Assistant Professor and Tenured Lecturer in Information Technology at the Department of Science and Technology, State Islamic University Ar-Raniry, Banda Aceh, Indonesia. Currently pursuing a Ph.D. at the School of Engineering Education, Purdue University, Indiana, USA. Her research uniquely combines industry experience with academic expertise, focusing on technology-enhanced learning. Specifically, her work centers around developing personalized learning
variety of complex technical topics, students face challenges in understandingand applying theoretical knowledge. AI technologies such as AI-assisted tutoring systems,performance predictions models, and generative AI tools are effective in enhancing studentinteractions with engineering curriculum improving student understanding and engagement[1][2]. By enabling real-time feedback, personalized learning experiences, and interactiveproblem-solving environments, AI tools are creating new opportunities for engineering education[3][4].The advancement of AI technology, particularly generative AI systems such as ChatGPT fosterscritical thinking and collaboration among students. In a study done by Abril students used AItools such as ChatGPT to obtain and
Ethics Institute and the Leonhard Center for Enhancement of Engineering Education—to facilitate exchange and collaboration between philosophers and engineers. Prior to joining Penn State, he was a postdoctoral research fellow at the Science History Institute working on the history of engineering ethics education. Shih earned his PhD and MS in science and technology studies (STS) from Virginia Tech. He also has a graduate certificate in engineering education (ENGE) from Virginia Tech and a Bachelor of Science in electrical engineering from National Taiwan University. ©American Society for Engineering Education, 2024 Generative Artificial Intelligence (GAI) Assisted Learning: Pushing the
Meredith Blumthal has been in the field of international education for 15 years. As the Director for International Programs in Engineering (IPENG) at the University of Illinois, she leads the study abroad initiatives and programming for the college. Ms. Blumthal’s team includes three study abroad advisors, a receptionist and peer advisors. Together the IPENG office provides study abroad advising, expertise, international exchanges, and cultural experiences in over 60 programs throughout 20 countries, with the goal of providing transformative learning experiences that empower students to develop global competency skills. Through partnerships with partner universities abroad, alumni, faculty, staff and student groups, Ms
focuses on human-computer interaction, human-AI interaction, and social and collaborative computing. Since 2023, Dr. Smith has been continuously involved in efforts to assess and understand student adoption of Generative AI (GenAI) across campus. She participated in writing institution-wide policies for Mines, and she has given numerous guest lectures and organized numerous workshops on the ethics and use of GenAI in engineering education. ©American Society for Engineering Education, 2025 Assessing Student Adoption of Generative Artificial Intelligence across Engineering Education from 2023 to 2024AbstractGenerative Artificial Intelligence (GenAI) tools and models have the
Paper ID #42069Student Experiences with Parsons Problems in a First-Year Engineering CourseTyler James Stump, The Ohio State University Tyler Stump is a first year Ph.D. student in the Department of Engineering Education at The Ohio State University. Tyler received his B.S.in Biosystems Engineering at Michigan State University in 2022 and received his M.S. from Michigan State University in 2023. His engineering education interests include first-year engineering student experiences, computing education, and how to foster and develop creativity within programming courses.Abbey Darya Kashani Motlagh, The Ohio State
areas, he focuses his investigations on enhancing creativity and innovation, supporting better documentation, and encouraging collaborative learning.Elliot Benjamin Roe, Georgia Institute of Technology ©American Society for Engineering Education, 2025 WIP: BST Cards: A Tangible Binary Search Tree (BST) Activity for Developing Algorithmic Thinking in Middle School StudentAbstractIntroducing algorithmic data structure concepts to middle school students poses a uniquechallenge due to their complexities and reliance on code-specific syntax. Aiming to simplify thisprocess, we adapted a tangible Binary Search Tree (BST) activity from the CS Unpluggedcurriculum to promote an experiential understanding of
reviews and are important forthis paper. Morgan et al. discussed using engineering to inspire and develop CT skills in youngchildren and create the (STEM + C) model. The study involved 85 preschool children whoparticipated in a series of design activities involving problem-solving, collaboration, and simplecoding tools. The results showed that the activities effectively promoted CT skills such asdecomposition, pattern recognition, and abstraction. The proposed CT in their work is datacollection, data analysis, data representation, problem decomposition, abstraction, algorithmsand procedures, automation, simulation, and parallelization [26]. Also important is the AHA!Island project. The educational program focuses on training CT concepts using
Paper ID #44153Integrating Theory and Practice: A CFD Education ApproachDr. MEHMET Nasir SARIMURAT, Syracuse University Mehmet Nasir Sarimurat earned his Ph.D. from Syracuse University in Syracuse, NY, USA, in 2008. He held positions as a Senior and Staff Engineer at United Technologies Carrier Corporation in East Syracuse, NY, USA, from 2007 to 2018. In 2018, he made the transition to the Department of Mechanical and Aerospace Engineering at Syracuse University. Currently, he serves as an Associate Teaching Professor and also holds the role of Undergraduate Program Director for Mechanical Engineering. His research is
Paper ID #44328Assessing the Effectiveness of Open-ended Engineering Design Projects in aFirst-Year Engineering Programming Course for Improving Students’ Problem-SolvingStylesDr. John Alexander Mendoza-Garcia, University of Florida John Mendoza Garcia serves as an Instructional Associate Professor at the Department of Engineering Education within the Herbert Wertheim College of Engineering at the University of Florida. He received his Ph.D. in Engineering Education at Purdue University, and his Master’s and a Bachelor’s in Systems and Computing Engineering from Universidad de Los Andes, in Colombia, and Universidad Nacional
, Kaussar, and Abildinova, Gulmira. 2024. “Investigating the Role of Augmented Reality in Supporting Collaborative Learning in Science Education: A Case Study.” International Journal of Engineering Pedagogy, 4 (1): 149. https://doi.org/10.3991/ijep.v14i1.42391[9] Iparraguirre-Villanueva, Orlando, Andia-Alcarraz, Jhenifer, Saba-Estela, Fathzy, and Epifanía-Huerta, Andrés. 2023. “Mobile application with augmented reality as a support tool for learning human anatomy.” International Journal of Engineering Pedagogy, 14 (1): 82-95. https://doi.org/10.3991/ijep.v14i1.46845[10] García-Peñalvo, Francisco J., Moreno López, Lourdes, and Sánchez-Gómez, Ma C. 2018. “Empirical evaluation of educational interactive systems
, and PRIS, etc. He has extensively published journal and conference papers in engineering education and robotics fields. His research interests include engineering education, robotics and autonomous systems, human robot interaction, deep learning, and computational intelligence.Dr. Tingjun Lei, Mississippi State University Dr. Tingjun Lei is currently a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering at the Mississippi State University (MSU). He received his Ph.D. degree in electrical and computer engineering with the Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA., in 2023, his M.S. degree in electrical and computer
State University Dr. Josh Weese is a Teaching Assistant Professor at Kansas State University in the department of Com- puter Science. Dr. Weese joined K-State as faculty in the Fall of 2017. He has expertise in data science, software engineering, web technologies, computer science education research, and primary and secondary outreach programs. Dr. Weese has been a highly active member in advocating for computer science ed- ucation in Kansas including PK-12 model standards in 2019 with an implementation guide the following year. Work on CS teacher endorsement standards are also being developed. Dr. Weese has developed, organized and led activities for several outreach programs for K-12 impacting well more than 4,000
Adewale Olaleye. An insight into cultural competence and ethics in k-12 artificial intelligence education. 2022 IEEE Global Engineering Education Conference (EDUCON), pages 790–794, 2022. URL https://api.semanticscholar.org/CorpusID:248699532.[11] Rajeev Alur, Richard Baraniuk, Rastislav Bodik, Ann Drobnis, Sumit Gulwani, Bjoern Hartmann, Yasmin Kafai, Jeff Karpicke, Ran Libeskind-Hadas, Debra Richardson, et al. Computer-aided personalized education. arXiv preprint arXiv:2007.03704, 2020.[12] Matthew Berland, Don Davis, and Carmen Petrick Smith. Amoeba: Designing for collaboration in computer science classrooms through live learning analytics. International Journal of Computer-Supported Collaborative Learning, 10:425–447
Paper ID #42526Barriers to Conducting Primary and Secondary Computing Education Research.Miss Isabella Gransbury, North Carolina State UniversityMonica M. McGill, Institute for Advancing Computing Education Monica McGill is President & CEO of the Institute for Advancing Computing Education. Her area of scholarship is K-12 computing education research with a current focus on supporting computing education for all students and improving the quality of research.Leigh Ann DeLyser ©American Society for Engineering Education, 2024 Barriers to Conducting Computing Education Research
incorporating computational tasksinto statistics education is one of them [11,12]. The mini-lecture and active learning model wasused by [11] in a data science course taught by faculty in statistics, while [12] recommended anemphasis on applications in a data analytics course. The use of real-world applications was alsorecommended by [13] in a physics programming course. In an inter-disciplinary course thatincluded students from "business, liberal arts, and engineering and computer science,” [14, p.1]reliance on cross-disciplinary collaboration and business applications was used to increasestudent interest. In their work to incorporate data science modules into multiple STEM courses,[15] encouraged data collection activities as well as visualization
Paper ID #47345A Complete Redesign of CS1 for Engineering StudentsMr. Yuxuan Chen, University of Illinois Urbana-Champaign Yuxuan Chen is a Master of Science student in Computer Science at the University of Illinois Urbana-Champaign. His primary research interests focus on computer science education and artificial intelligence. He is dedicated to enhancing student learning experiences and accessibility in computing education through both innovative technology and research-driven teaching practices.Mr. Chenyan Zhao, University of Illinois Urbana-Champaign Master of Science student in Computer Science at University of
Paper ID #44115(Board 50/Work in Progress) A Systematic Review of Embedding Large LanguageModels in Engineering and Computing EducationDr. David Reeping, University of Cincinnati Dr. David Reeping is an Assistant Professor in the Department of Engineering and Computing Education at the University of Cincinnati. He earned his Ph.D. in Engineering Education from Virginia Tech and was a National Science Foundation Graduate Research Fellow. He received his B.S. in Engineering Education with a Mathematics minor from Ohio Northern University. His main research interests include transfer student information asymmetries, threshold
robot useful,while the AR robot scored highly in the interest portion of the MUSIC model.This study highlights the potential of AR and VR technology to motivate students in the field of robotics. Theimplementation studied was an effective proof of concept, and future iterations will include a fully immersiveprogramming interface within a virtual environment to allow collaboration over shared tasks and resources, evenwhen geographically separated. Future iterations will also incorporate accessibility and inclusivity to a greater degreeby leveraging Universal Design for Learning (UDL) principles to integrate the tool effectively into the curriculum of anundergraduate engineering course.Keywords: Virtual Reality, robotics, Engineering Education
Paper ID #38138Portable Laboratory for Electrical Engineering Education: The LAB-VEEEcosystem Developed in Latin America and the CaribbeanIng. Reymi Then, Universidad Tecnol´ gica de Santiago o A young professional passionate about research, technologies and their teaching. From a very early age, he presented a high interest and understanding of engineering, starting studies and technical work in electronics in 2002. In 2004 he began to study electronic engineering at the Technological University of Santiago (UTESA) and in 2019 he coursed a master’s degree in Mathematics at his Alma Mater