Displaying all 17 results
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- DSAI Technical Session 7: Natural Language Processing and LLM Applications
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- 2025 ASEE Annual Conference & Exposition
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- Kaiwen Guo, New York University Tandon School of Engineering; Malani Snowden, New York University Tandon School of Engineering; Rui Li, New York University
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- Data Science and Artificial Intelligence (DSAI) Constituent Committee
statements or words written in human languages [2]. Foundationaltheories by scholars such as Schank (on conceptual dependencies) and Chomsky (on syntax)paved the way for modern NLP, highlighting the complexities of semantics, morphology, andpragmatics [3][4]. More recently, advancements in NLP toolkits and libraries—such asTextBlob—have made sentiment analysis and text classification accessible, thereby enablingmore nuanced, context-sensitive applications [5][6][7].In tandem with these technological advances, large language models (LLMs) and prompt-engineering strategies have become increasingly prevalent, revealing new possibilities andchallenges in text generation, reasoning, and named entity recognition [8][9][10][13]. Forinstance, NER can parse
- Conference Session
- DSAI Technical Session 6: Academic Success, Performance & Complexity
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- 2025 ASEE Annual Conference & Exposition
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- Gregory L. Heileman, The University of Arizona; Chaouki T Abdallah, Georgia Institute of Technology; Kristina A Manasil, The University of Arizona; Melika Akbarsharifi, The University of Arizona; Roxana Akbarsharifi, The University of Arizona
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Paper ID #48858Are Engineering Degrees Really More Complex? Characterizing the Complexitiesof Academic Programs by DisciplineProf. Gregory L. Heileman, The University of Arizona Gregory (Greg) L. Heileman currently serves as the Associate Vice Provost for Academic Administration and Professor of Electrical and Computer Engineering at the University of Arizona, where he is responsible for facilitating collaboration across campus tProf. Chaouki T Abdallah, Georgia Institute of Technology ˜ Chaouki T. Abdallah started his college education at the Ecole SupA
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- DSAI Technical Session 3: Integrating Data Science in Curriculum Design
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- 2025 ASEE Annual Conference & Exposition
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- Elizabeth Milonas, New York City College of Technology; Qiping Zhang, Long Island University; Duo Li, Shenyang Institute of Technology
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- Data Science and Artificial Intelligence (DSAI) Constituent Committee
ASIST&T, and his research interests are focused on Human-Computer-Interaction, Big Data, and Data Analytics. ©American Society for Engineering Education, 2025 Shaping Future Innovators: A Curriculum Comparison of Data Science Programs in Leading U.S. and Chinese InstitutionsASEE submission:Data Science & Analytics Constituent Committee (DSA)1. IntroductionThe Data Science field has been evolving rapidly both in the United States and in China in recentyears. More and more day-to-day and business applications are depending on data sciencetechnologies such as data mining, machine learning, data management, and artificial intelligence[1]. With this rise in such data science technologies and
- Conference Session
- DSAI Technical Session 6: Academic Success, Performance & Complexity
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- 2025 ASEE Annual Conference & Exposition
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- Cristian Saavedra-Acuna, Universidad Andres Bello, Concepcion, Chile; Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile; Danilo Alberto Gomez, Universidad Andres Bello, Concepcion, Chile
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Paper ID #46172A Predictive Model for Academic Performance in Engineering StudentsMs. Cristian Saavedra-Acuna, Universidad Andres Bello, Concepcion, Chile Cristian Saavedra is an assistant professor at the School of Engineering at the University Andres Bello in Concepcion, Chile. He holds a bachelor’s degree in Electronics Engineering and a master’s degree in Technological Innovation and Entrepreneurship. Cristian is certified in Industrial Engineering, University Teaching, Online Hybrid and Blended Education, and Entrepreneurship Educators. He teaches industrial engineering students and carries out academic management
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- DSAI Technical Session 8: Learning Analytics and Data-Driven Instruction
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- 2025 ASEE Annual Conference & Exposition
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- Robert J. Rabb P.E., Pennsylvania State University; Ivan E. Esparragoza, Pennsylvania State University; Jennifer X Wu
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Paper ID #48405Data Analytics for Engineering Student Success and College OperationsDr. Robert J. Rabb P.E., Pennsylvania State University Robert Rabb is the associate dean for education in the College of Engineering at Penn State. He previously served as a professor and the Mechanical Engineering Department Chair at The Citadel. He previously taught mechanical engineering at the United States Military Academy at West Point. He received his B.S. in Mechanical Engineering from the United Military Academy and his M.S. and PhD in Mechanical Engineering from the University of Texas at Austin. His research and teaching
- Conference Session
- DSAI Technical Session 6: Academic Success, Performance & Complexity
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- 2025 ASEE Annual Conference & Exposition
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- Michael T Johnson, University of Kentucky; Johné M Parker, University of Kentucky
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Computer Science Engineering and Engineering with Electrical Concentration from LeTourneau University in Longview, TX.Prof. John´e M Parker, University of Kentucky John´e M. Parker is an Associate Professor of Mechanical Engineering and Associate Dean of Access and Community Engagement in the Pigman College of Engineering at the University of Kentucky. She received her BME, MSME and Ph.D. degrees from the George W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technology. ©American Society for Engineering Education, 2025Engineering Student Success based on Performance in First Semester Foundational CoursesAbstractStudent success in engineering programs is known to
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- DASI Technical Session 2: Artificial Intelligence in Higher Education
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- 2025 ASEE Annual Conference & Exposition
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- Ibukun Samuel Osunbunmi, Pennsylvania State University; Taiwo Raphael Feyijimi, University of Georgia; Lexy Chiwete Arinze, Purdue University at West Lafayette (COE); Viyon Dansu, Florida International University; Bolaji Ruth Bamidele, Utah State University; Yashin Brijmohan, Utah State University; Stephanie Cutler, The Pennsylvania State University
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STEM education, sustainable energy, and material characterization.Taiwo Raphael Feyijimi, University of Georgia Taiwo is a highly skilled AI Engineer, Researcher, and Doctoral Student at the University of Georgia who completed his MS in Electrical and Computer Engineering in the College of Engineering. He is currently leveraging AI to tackle simple and longstanding problems in engineering education. With over a decade of industry experience as a Technology Strategist and Technical Lead, he has established himself as a forward-thinking innovator in AI and EdTech. His expertise spans Exploratory Data Analysis (EDA), Machine Learning (ML), Natural Language Processing (NLP), and Prompt Engineering Techniques (PETs) with
- Conference Session
- DSAI Technical Session 1: K–12 and Early Exposure to Data Science and AI
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- 2025 ASEE Annual Conference & Exposition
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- Faiza Zafar, Rice University; Carolyn Nichol, Rice University; Matthew Cushing, Rice University
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(Research Experience for Teachers) program is a 6-week, paidvirtual summer internship designed to immerse computer science, technology, and programmingteachers in discovery-based STEM research. Funded by the NSF Engineering Research Centerentitled Precise Advanced Technologies and Health Systems for Underserved Populations(PATHS-UP; EEC-1648451) and NSF Expeditions in Computing grant entitled Seeing Underthe Skin (NSF #: CCF-1730574), the SWITCH RET program offers teachers the opportunity togain hands-on experience in computer science, engineering, and health technologies. Theprogram aims to enhance teachers’ understanding of STEM fields, provide them with researchexperience, and help them develop classroom-ready lessons to inspire students to
- Conference Session
- DASI Technical Session 2: Artificial Intelligence in Higher Education
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- 2025 ASEE Annual Conference & Exposition
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- Indu Varshini Jayapal, University of Colorado Boulder; James KL Hammerman; Theodora Chaspari, University of Colorado Boulder
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Paper ID #47825Expanding AI Ethics in Higher Education Technical Curricula: A Study onPerceptions and Learning Outcomes of College StudentsMiss Indu Varshini Jayapal, University of Colorado BoulderJames KL HammermanDr. Theodora Chaspari, University of Colorado Boulder Theodora Chaspari is an Associate Professor in Computer Science and the Institute of Cognitive Science at University of Colorado Boulder. She has received a B.S. (2010) in Electrical & Computer Engineering from the National Technical University of Athens, Greece and M.S. (2012) and Ph.D. (2017) in Electrical Engineering from the University of Southern
- Conference Session
- DASI Technical Session 2: Artificial Intelligence in Higher Education
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Lauren Singelmann, Minnesota State University, Mankato; Jack Elliott, Minnesota State University, Mankato; Yuezhou Wang, Minnesota State University, Mankato; Jacob John Swanson, Minnesota State University, Mankato
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Utah State University as an NSF Graduate Research Fellow. His research includes student social support networks in engineering education, experimental fluid dynamics, and developing low-cost technology-based tools for improving fluid dynamics education.Dr. Yuezhou Wang, Minnesota State University, Mankato Dr. Yuezhou Wang is an associate professor in both Iron Range Engineering and Twin Cities Engineering programs. He received his B.S. in Mechanical Engineering from Shanghai Jiaotong University, China (2008) and Ph.D. in Materials Science and Engineering from University of Minnesota, Twin Cities (2017). His leading teaching competencies are in areas of materials science, structural analysis, finite element modeling
- Conference Session
- DSAI Technical Session 9: Student Reflections, Metacognition, and Competency Mapping
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- 2025 ASEE Annual Conference & Exposition
- Authors
- Majd Khalaf, Norwich University; Toluwani Collins Olukanni, Norwich University; David M. Feinauer P.E., Virginia Military Institute; Michael Cross, Norwich University; Ali Al Bataineh, Norwich University
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- Data Science and Artificial Intelligence (DSAI) Constituent Committee
Electrical and Computer Engineering at Norwich University teaching classes in the areas of circuits, electronics, energy systems, and engineering design. His research interest is in energy systems, specifically battery electric vehicles and their impact on the electric grid. Cross received degrees from the Rochester Institute of Technology and the University of Vermont.Ali Al Bataineh, Norwich University ©American Society for Engineering Education, 2025 Future-Ready Students: Validating the Use of Natural Language Processing to Analyze Student ReflectionsIntroductionFirst-year Electrical and Computer Engineering (ECE) students from Norwich University andVirginia Military Institute
- Conference Session
- DSAI Technical Session 3: Integrating Data Science in Curriculum Design
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Md. Yunus Naseri, Virginia Polytechnic Institute and State University; Vinod K. Lohani, Virginia Polytechnic Institute and State University; Manoj K Jha P.E., North Carolina A&T State University; Gautam Biswas, Vanderbilt University; Caitlin Snyder; Steven X. Jiang, North Carolina A&T State University; Caroline Benson Sear, Virginia Polytechnic Institute and State University
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Paper ID #45880Integration of Data Science Modules Across Interdisciplinary Courses at MultipleInstitutions: Analysis of Students’ and Faculty PerspectivesMr. Md. Yunus Naseri, Virginia Polytechnic Institute and State University Yunus Naseri is a Ph.D. candidate in the Department of Civil and Environmental Engineering at Virginia Tech (VT). He joined VT as a master’s degree student through a Fulbright Scholarship in 2018. His research focuses on data science literacy integration across STEM+C disciplines and data science application in water use across different economic sectors.Dr. Vinod K. Lohani, Virginia Polytechnic
- Conference Session
- DSAI Technical Session 8: Learning Analytics and Data-Driven Instruction
- Collection
- 2025 ASEE Annual Conference & Exposition
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- Alyson Grace Eggleston, Pennsylvania State University; Robert J. Rabb P.E., The Pennsylvania State University; Eric Donnell, The Pennsylvania State University
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. Vorvoreanu, and K. Madhavan, “Using visualization to derive insights from research funding portfolios,” in IEEE Computer Graphics and Applications, 35(3), 91-c3, 2021.[2] L. Shaulska, L. Yurchyshena, and Y. Popovskyi, “ Using MS power BI tools in the university management system to deepen the value proposition,” in 2021 11th International Conference on Advanced Computer Information Technologies (ACIT), pp. 294-298, IEEE, September 2021.[3] M. D. Tamang, V. K. Shukla, S. Anwar, and R. Punhani, “Improving business intelligence through machine learning algorithms,” In 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM), pp. 63-68, IEEE, April 2021.[4] R. Heyard and H. Hottenrott, “The value of
- Conference Session
- DSAI Technical Session 3: Integrating Data Science in Curriculum Design
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Karl D. Schubert FIET, University of Arkansas; Carol S Gattis, University of Arkansas; Stephen R. Addison, University of Central Arkansas; Tara Jo Dryer, University of Arkansas; Adam Musto, Arkansas Department of Education
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by helping develop the next generation of STEM workforce. He has patents in various technology areas and is the author and co-author of several books. Dr. Schubert is a Senior Member of the IEEE, Senior Member of ACM, and Senior Member of IISE. He is also Vice Chair of the Ozark Section of the IEEE Computer Society and is the ASEE Data Science & Artificial Intelligence (DSAI) Constituent Delegate to the Commission on P-12 Engineering Education (CP12) and the DSAI Delegate to the Interdivisional Town Hall.Dr. Carol S Gattis, University of Arkansas Carol S. Gattis is an Associate Dean Emeritus and Adjunct Associate Professor at the University of Arkansas. She has over 34 years of experience in STEM education
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- DSAI Technical Session 10: Research Infrastructure and Institutional Insights
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- 2025 ASEE Annual Conference & Exposition
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- Iqbal Hossain, The University of Arizona; Thomas Harman, University of Arizona; Wesley Nguyen, University of Arizona; Ravneet Chadha, The University of Arizona
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the network. The technical details of the geometric algorithms,infrastructure, and technology used in the map are omitted from this paper.C. Identifying Research Areas for Activities We utilized a large language model to classify research activities and associate them withspecific research areas. This analysis helped us understand the university’s research focus.To achieve this, we employed topic modeling techniques inspired by prior work [27].D. Research Areas for Individual Researchers We determined each researcher’s area of interest by analyzing all their research activities.This information is integrated into the KMap search engine (not described in this paper),enabling users to find researchers in specific research areas and display
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- DSAI Technical Session 4: Workshops, Professional Development, and Training
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- 2025 ASEE Annual Conference & Exposition
- Authors
- Melika Akbarsharifi, The University of Arizona; Ahmad Slim; Gregory L. Heileman, The University of Arizona; Roxana Akbarsharifi, The University of Arizona; Kristina A Manasil, The University of Arizona
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currently serves as the Associate Vice Provost for Academic Administration and Professor of Electrical and Computer Engineering at the University of Arizona, where he is responsible for facilitating collaboration across campus tRoxana Akbarsharifi, The University of Arizona Roxana Akbarsharifi is a PhD student in Software Engineering at the University of Arizona. Her research focuses on educational analytics and developing tools to improve student outcomes and support academic success. Her research interests include software engineering, data analytics, and data visualization, with an emphasis on applying these technologies to solve educational challenges and enable data-driven decision making in higher
- Conference Session
- DASI Technical Session 2: Artificial Intelligence in Higher Education
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- 2025 ASEE Annual Conference & Exposition
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- Ananya Prakash, Virginia Polytechnic Institute and State University; Mohammed Seyam, Virginia Polytechnic Institute and State University
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Engineering, Human-Computer Interaction, and Computer Science Education. Additionally, he is the CS Department Coordinator for Experiential Learning, where he leads several initiatives to enhance students’ learning through out-of-classroom experiences, including the CS Study Abroad program. Mohammed has 20+ years of experience in teaching university level courses, and he presented and conducted multiple talks and workshops in different countries. Among other courses, he taught: Software Engineering, Database Systems, Usability Engineering, and Software Project Management. ©American Society for Engineering Education, 2025 Can AI Transform Graduate Computer Science Admissions