Paper ID #45814Community Engaged Researchers Share Insights into Successes and Cautions[Traditional Research Paper]Dr. Angela R Bielefeldt, University of Colorado Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Environmental, and Architectural Engineering (CEAE) and Director of the Engineering Education Program. She is a Fellow of the American Society for Engineering Education (ASEE) and a licensed Professional Engineer in Colorado. ©American Society for Engineering Education, 2025 Community Engaged Researchers Share Insights into
. Balgopal, and L. Sample McMeeking, “Building professional identity: STEMteacher educators' growth through community,” International Journal of Science and MathematicsEducation, vol. 19, no. 5, pp. 1–19, 2021.[8] R. L. Kajfez and H. M. Matusovich, "The role of identity in understanding graduate teachingassistants: A mixed methods analysis," International Journal of Engineering Education, vol. 36,no. 3, pp. 1049-1061, 2020.[9] S. E. DeChenne, L. G. Enochs, and M. Needham, “Science, technology, engineering, andmathematics graduate teaching assistants teaching self-efficacy,” Journal of the Scholarship ofTeaching and Learning, vol. 12, no. 4, pp. 102–123, 2012.[10] X. Zhou, L. Shu, Z. Xu, and Y. Padrón, “The effect of professional development on in
, first-generation,and racially minoritized students who have historically been underrepresented in STEMdisciplines [4]. Furthermore, these low-income community college students face significantbarriers in accessing and completing STEM programs due to the limited support and resourcesthat are provided – lower rates of transfer into STEM majors, out-of-class resources, and variousforms of capital that they non-low-income peers have [6].To further support students in community college pursuing STEM degrees, federal initiativeslike the National Science Foundation (NSF) Scholarships in Science, Technology, Engineering,and Mathematics Program (S-STEM) provide the opportunity for institutions to apply andreceive grants to fund students through
Paper ID #46185General Perceptions of Student Veterans Based on Faculty and Staff Role andLevelDr. Ronald W. Welch, The Citadel Ron Welch (P.E.) received his B.S. degree in Engineering Mechanics from the United States Military Academy in 1982. He received his M.S. and Ph.D. degrees in Civil Engineering from the University of Illinois, Champaign-Urbana in 1990 and 1999, respectively. He taught at The United States Military Academy during his 25 year military career. After retiring form the military he has taught at the University of Texas at Tyler and The Citadel, where he was the Dean of Engineering for 10 years
Paper ID #45526Survey of C/C++ IDEs for a First Year Programming CourseMr. Thomas Rossi, University of New Haven Thomas Rossi is the Assistant Chair of the University of New Haven’s Electrical and Computer Engineering and Computer Science department. His research focuses on improving the post-secondary experience for students through the use of current computing tools and technologies. Thomas graduated with his MS in Computer Science from the University of New Hampshire in 2016. He has previously worked at the Rochester Institute of Technology and at Penn State Erie, the Behrend College.Prof. Alice E. Fischer, University of
learning and data science in Computing Science Education to improve teaching and learning.Joshua Levi Weese, Kansas State University Dr. Josh Weese is a Teaching Assistant Professor at Kansas State University in the department of Computer 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 education 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
, University of California, San DiegoEunice Chow Eunice Chow, M.A., is a Research Associate at WestEd. She has extensive experience leading and supporting research and evaluation studies funded by the U.S. Department of Education. Her research focuses on educational technology and early learning. Her expertise ranges from usability and implementation studies to multi-year randomized controlled trials. She earned her M.A. in Education from Stanford University and her B.S. in Psychology and Learning & Organizational Change from Northwestern University.Alec Barron, University of California, San Diego Dr. Alec Barron is the Director of the San Diego Science Project at UC San Diego CREATE. Through this role, he supports
. in Electrical and Computer Engineering from UNC Charlotte.Dr. Annie Hui, zyBooks, A Wiley Brand Annie Hui is a zyBooks assessment specialist. She has 15 years of experience teaching computer science, information technology, and data science courses, in both in-person and online modes. She has taught in Northern Virginia Community College and George Mason University. She specializes on course design to maximize student engagement and success.Nicole Kehaulani Collins, zyBooks, A Wiley Brand Nicole Collins is an Author Trainer and former Assessment Specialist at zyBooks, a Wiley Brand. She earned her B.S. in Computer Science and her M.Ed. in Learning, Design & Technology from UNC Charlotte. Her professional
contributions to STEM education and workforce development”, Barriers and Opportunities in Completing 2-and 4-Year STEM Degrees, 2014.[22] K. Baltaci, M. Thompson, and B. Yuksek, “NSF S-Stem Scholarship Grant For Engineering And Applied Technology Majors To Increase Enrollment And Retention,” ASEE Annual Conference and Exposition, Conference Proceedings, 2014. [Online]. Available: https://scholarworks.uni.edu/facpub/1468[23] S. Weissman, “New Data Signal Flawed Transfer Process”, Institute of International Education, 2024. [Online]. Available: https://www.insidehighered.com/news/institutions/community-colleges/2024/02/07/new- reports-show-fewer-half-transfers-complete[24] V. Tinto, “From theory to action: Exploring the
Paper ID #46649Strategies for Risk Management and Mitigation in Faculty-led CoursesDr. Yanjun Yan, Western Carolina University Yanjun Yan is a Professor in Engineering and Technology at Western Carolina University. Her research interests include engineering education, artificial intelligence, swarm robotics, and statistical signal processing. ©American Society for Engineering Education, 2025 Strategies for Risk Management and Mitigation in Faculty-led CoursesAbstractInternational exchanges are exciting opportunities for students and faculty, while risk management andrisk mitigation are critical
Paper ID #45749Automating Structured Information Extraction from Images of AcademicTranscripts Using Machine LearningDeclan Kirk Bracken, University of Toronto Declan Bracken is an M.Eng. student at the University of Toronto in the department of Mechanical and Industrial Engineering pursuing an emphasis in Analytics. This paper is the final product of an 8 month M.Eng. project supervised by Professor Sinisa Colic and it’s work is intended for implementation into the admissions process at the University of Toronto’s M.I.E department.Dr. Sinisa Colic Ph.D., University of Toronto Dr. Colic is an Assistant Professor
FIE, ICER, and ASEE, and brings years of teaching experience in software engineering and foundational computing courses.Dr. Mohsen M Dorodchi, University of North Carolina at Charlotte Dr. Dorodchi has been teaching in the field of computing for over 35 years of which 25 years as an educator. He has taught the majority of the courses in the computer science and engineering curriculum over the past 25 years such as introductory programming, data structures, databases, software engineering, system programming, etc. He has been involved in a number of National Science Foundation supported grant projects including Scholarship for STEM students (S-STEM), Researcher Practitioner Partnership (RPP), IUSE, and EAGER
2017, she was a lecturer in the Department of Mechanical Science and Engineering at the same university for five years. Silva has extensive experience in course development across engineering, computer science, and mathematics and is passionate about advancing teaching innovations that benefit students and instructors alike. She is an expert in the development and application of computer-based tools for teaching and learning in large STEM university courses. Her current research investigates the use of educational technologies to enhance computer-based assessments and centralized computer-based testing centers. This includes leveraging Large Language Models (LLMs) for automated short-answer grading and the creation
to educate the public about the operation of the power system. By educating the public,the grid will have customers who have a better grasp of the system and are more likely to offervital help to Duke Energy when it is needed. Furthermore, Duke Energy seeks to motivate andencourage talented young people to pursue careers with the company, recognizing thatenthusiastic young professionals will play an important role in meeting the growing demand forenergy utilities, particularly as ambitious clean energy initiatives are implemented.Therefore, as part of their effort to educate the public about the electric grid, Duke Energypartnered with the College of Engineering and Technology at Western Carolina University(WCU) to develop an educational
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
for students 2 . Thisapproach is critical in fields like AI and ML, which can be abstract; therefore, grounding theseconcepts in tangible data and real scenarios helps demystify the technology and stimulatecuriosity.2.3 Robotics in STEM EducationRobotics has become a valuable means for enhancing STEM education by offering concreterepresentations of computer and engineering concepts. Prior work on robotics in STEM educationshows that using robots and their data can intrinsically or extrinsically motivate the learners 7 .Robotics projects often involve elements of problem-based learning that boost classroomengagement 7 . A broad meta-analysis of educational robotics interventions found a moderate butsignificantly positive effect on student
Wheeler Dr. Lindsay Wheeler is Assistant Director of STEM Education Initiatives and Assistant Professor in the Center for Teaching Excellence at the University of Virginia. Dr. Wheeler develops and implements educational development programs and courses to suppor ©American Society for Engineering Education, 2025Mastery Grading in Calculus: effects on performance and perception across demographicsAbstract: This study examines the long-term effects, demographic impacts, and perceptionchanges from two years of mastery grading in a Calculus I course. Previous findings showednotable benefits from mastery grading for students with the lowest diagnostic scores enteringCalculus I. In this phase, we tracked the
designed to increase and broaden participation in STEM fields.Carissa B. Schutzman Ph.D., University of Cincinnati Dr. Carissa Schutzman is Executive Director of the University of Cincinnati Evaluation Services Center. In 2020 she joined the Center where she leads evaluation and research projects and represents UCESC within the university and the community.Teresa Michelle Encalada, University of Cincinnati ©American Society for Engineering Education, 2025 Post-graduation outcomes of – and supervisor satisfaction with – graduates of a National Science Foundation Research Traineeship (NRT)1. IntroductionThe University of Kentucky (UK) NRT – which is in its sixth
specialized and directed than most collegiate content,allowing for more input from industrial employers of students [4] [5]. A stated need of the agencyfunding this effort was to improve the employability of graduating students on “day one,”providing skill training that would allow the new students to contribute meaningfully and quicklyupon hire, minimizing onboarding training needed. As practices and theories used in engineeringand industry change rapidly as new manufacturing technologies develop, micro-credentialpathways are set to emerge as an agile and rapid way to address these skill gaps as they emergefor graduating and mature workers. [4] While several undergraduate programs in engineering andtechnology at the University of Maine provide
Paper ID #49042WIP: Integrating Student-developed Applications and In-class Learning Gamesto Optimize Learning Outcomes: A Case Study in An Introductory StatisticalLearning and Programming CourseProf. Heze Chen, University of Virginia Heze Chen is an assistant professor in the Center for Applied Mathematics at the University of Virginia, USA, since the August of 2023. He is involved in teaching several applied mathematics courses at the School of Engineering and Applied Science. His research focuses on enhancing the mathematical learning experience for engineering students and developing numerical simulation methods in
. Huang, Shaobo, and Ning Fang. “Predicting Student Academic Performance in an Engineering Dynamics Course: A Comparison of Four Types of Predictive Mathematical Models.” Computers and Education, vol. 61, 2013, pp. 133–45 11. Howard, E., Meehan, M., & Parnell, A. (2018). Contrasting prediction methods for early warning systems at undergraduate level. The Internet and Higher Education, 37, 66–75 12. Ben Said, M., Hadj Kacem, Y., Algarni, A., & Masmoudi, A. (2024). Early prediction of Student academic performance based on Machine Learning algorithms: A case study of bachelor’s degree students in KSA. Education and Information Technologies, 29(11), 13247–13270. 13. Parmar, A., Katariya, R., Patel, V
, N. Lal, A. Anand, A. Singh, and R. R. Shah, "KeystrokeDynamics Against Academic Dishonesty in the Age of LLMs," presented at MIDAS Lab, IIITDelhi, India, and Bucknell University, USA. [Online]. Available: https://iiitd.ac.in/midas.[Accessed: Jul. 26, 2023].[15] M. M. Masud, K. Hayawi, S. S. Mathew, T. Michael, and M. ElBarachi, "Smart OnlineExam Proctoring Assist for Cheating Detection," presented at the College of InformationTechnology, United Arab Emirates University, UAE; College of Technological Innovations,Zayed University, UAE; and Faculty of Engineering & Info. Sciences, The Univ. of Wollongongin Dubai, UAE. [Online]. Available: https://uaeu.ac.ae/. [Accessed: Jul. 26, 2023].[16] [Online]. Available: https://www.kaggle.com
access to microfluidic technology. ©American Society for Engineering Education, 2025 Scaling Mentoring for Graduate School: An Algorithm to Streamline the Formation of Mentoring Circles for the GradTrack Scholars ProgramAbstractThe GradTrack Scholars program prepares undergraduate students for graduate school whilebuilding a community of students excited to pursue advanced study. GradTrack uses mentoringcircles – a proven model for supporting individuals pursuing graduate school [1], postdoctoralroles [2, 3], and faculty careers [4]. In GradTrack, each mentoring circle unit consists of twograduate student mentors and 6–8 undergraduate mentees, where each unit is part of a scalablementoring system. In 2024
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
Paper ID #48331Implementing Interconnected Faculty Development Initiatives for STEM FacultyDr. Christopher A. F. Hass, Rutgers University, New Brunswick Christopher Hass received their Ph.D. in physics at Kansas State University, and is currently a post-doctoral associate a Rutgers university. Their research focuses on faculty career trajectories and how we support faculty in developing new and existing skills to achieve their career goals. They have collaborated on NSF funded grants at Rutgers University, Kansas State University, and the Rochester Institute of Technology focusing on systemic and institutional change to
Paper ID #48768Engagement with Metacognition-promoting Web-based Interventions and itsRelationship with Learning OutcomesJiaen Yu, University of California, San Diego Jiaen Yu is a PhD student at the Halıcıo˘glu Data Science Institute, University of California, San Diego. He earned an M.S. in Computer Science from University of California, San Diego and a B.S. in Electronic Information Science & Technology from Jiangsu University of Science and Technology. His research interests interest lies in Computing Education, including educational data mining and development of interactive systems or tools with human-centered
published an ASEE conference paper last year on the effects of ChatGPT on student learning in programming courses. With over seven years of experience teaching Computer Science courses, she is currently a faculty member at Embry-Riddle Aeronautical University’s Department of Computer, Electrical, and Software Engineering, where she teaches computer science courses.Dr. Luis Felipe Zapata-Rivera, Embry-Riddle Aeronautical University Dr. Luis Felipe Zapata-Rivera is an Assistant Professor at Embry Riddle Aeronautical University. He earned a Ph.D. in Computer Engineering at Florida Atlantic University, in the past worked as an assistant researcher in the group of educational Technologies at Eafit University in Medellin
certificate provides a high-qualitycredential from a top-ranked computer science department. In addition to computing skills, ouriCAN program emphasizes skills such as problem-solving, creativity, dealing with complexity,focus, resilience, and adopting a growth mindset to prepare students to shape the future ofcomputing [7] and [8].Our future work includes continuing to grow the program, providing more industry, non-profit,and research experiences, and providing exposure to AI fundamentals.References[1] A. Ivey, S. R. Johnson, M. Skorodinsky, and J. Snyder, “Abolitionist Computer Science Teaching: Moving from Access to Justice,” presented at the Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT
Paper ID #47321Positive Student Impacts of an Unlimited, Randomized Self-Assessment QuizPer Chapter: Study Habits, Self-Efficacy, and Learning OutcomesDr. Annie Hui, zyBooks, A Wiley Brand Annie Hui is a zyBooks assessment specialist. She has 15 years of experience teaching computer science, information technology, and data science courses, in both in-person and online modes. She has taught in Northern Virginia Community College and George Mason University. She specializes on course design to maximize student engagement and success.Dr. Nkenge Wheatland, zyBooks, A Wiley Brand Nkenge Wheatland is a Sr. Manager for Content
inservice and preservice, to increase content knowledge and pedagogical content knowledge. As Co-PI for 3 years and PI for 7 years on Teacher Quality grants, she designed and developed over 1,000 hours of professional development. As Co-PI on a National Science Foundation Robert Noyce Scholarship Program grant, she designs and delivers professional development for the scholarship recipients She has not only worked with teachers in Texas and other states in the U.S. but also with teachers from Turkey and Qatar. Dr. Nite’s research agenda has focused heavily on bridge programs for engineering calculus, STEM secondary education, and STEM teacher professional development. She also conducts research in music education