Conference Session

Faculty Development at Various Career Stages

Collection

2025 ASEE Annual Conference & Exposition

Authors

Haley Briel, University of Wisconsin - Madison; Deesha Chadha, Imperial College London; Erica Jean Hagen, University of Wisconsin - Madison

Tagged Divisions

Faculty Development Division (FDD)

localize general practices and suitvarious academic contexts.MethodologyThis paper contains insights from eight training teams at seven engineering schools. Theseprograms were identified for this study based on existing professional connections and contactsmade at the 2024 American Society for Engineering Education conference in Portland, OR andthe 2024 POD Network Conference in Chicago, IL. 1.​ The University of Wisconsin-Madison’s College of Engineering 2.​ Imperial College London’s Department of Chemical Engineering 3.​ Stanford University’s Bioengineering and Mechanical Engineering departments 4.​ Penn State College of Engineering 5.​ Georgia Institute of Technology 6.​ Michigan State University 7.​ Cornell University

Conference Session

DSAI Technical Session 7: Natural Language Processing and LLM Applications

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alexis Frias, University of California Merced; Shrivaikunth Krishnakumar, San Jose State University; Ayush Pandey, University of California Merced

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

nonlinear systems, and the development of AI-powered auto grading system. His broader research background includes contributions to robotics, agricultural technologies, and education, with involvement in research programs such as LINXS, MACES, and NCAS. He is passionate about AI development and mentoring, aiming to contribute to the advancement of trustworthy and efficient AI systems.Shrivaikunth Krishnakumar, San Jose State University Shrivaikunth Krishnakumar is a Graduate Student in the Master of AI program at San Jose State University. He graduated from UC Merced with a bachelor’s degree in Computer Science and Engineering. His current work focuses on development of AI-driven educational tools, and combating AI

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Eesha tur razia babar; Ahmed Ashraf Butt, University of Oklahoma

Tagged Divisions

Computers in Education Division (COED)

focuses on designing and developing educational technologies that facilitate various aspects of student learning, such as engagement. Additionally, he is interested in designing instructional interventions and exploring their relationship with first-year engineering (FYE) students’ learning aspects, including motivation and learning strategies. Prior to his time at Purdue, Dr. Butt worked as a lecturer at the University of Lahore, Pakistan, and has been associated with the software industry in various capacities. ©American Society for Engineering Education, 2025 Work in Progress: Enhancing Transparency in Educational Decision-Making using XAI TechniqueIntroductionIn the

Conference Session

First-Year Programs Division (FPD) Work-in-Progress 3: Integration of Math, Computing, and AI in First-Year Courses

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bishweshwor Rimal, University of Texas at Austin; Sneha Ballabh, University of Texas at Austin; Nina Kamath Telang, University of Texas at Austin

Tagged Divisions

First-Year Programs Division (FPD)

Paper ID #46122WIP: AI-Driven Personalized Learning for an Introductory Computing CourseDr. Nina Kamath Telang, University of Texas at Austin Nina Telang is a Professor of Instruction in the Department of Electrical and Computer Engineering at the University of Texas at Austin. She received the B.Tech degree in Engineering Physics from the Indian Institute of Technology, Mumbai in 1989, and the M.S. and Ph.D. from the University of Notre Dame in 1992 and 1995.Sneha Ballabh, University of Texas at AustinBishweshwor Rimal, University of Texas at Austin ©American Society for Engineering Education, 2025

Conference Session

Computers in Education Division (COED) Track 4.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

David Foley, Universite de Sherbrooke

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #46287The Development of Concept-Space, a Digital Workspace that Mirrors Howthe Brain Organizes and Expands Knowledge, Reveals Positive Impacts forLearners, Teamwork and TeachersDr. Ing. David Foley, Universite de Sherbrooke David Foley, Dr. Ing. teaches engineering design at Universit´e de Sherbrooke where he supervises teams of students in realizing their capstone design projects. A majority of his time for the last 14 years have been invested in developing breakthrough technology to better support human thinking and learning processes. ©American Society for Engineering Education, 2025

Conference Session

Identity, Experiences, and Perceptions (Equity, Culture & Social Justice in Education Division ECSJ Technical Session 2)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lucy Arellano Jr., University of California, Santa Barbara; Margarita Rodriguez, University of California, Santa Barbara

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

each other and contribute to an overall identity as a person of science.​ For this study, we extend the work of Carlone and Johnson’s “science identity” (2007) toalso follow the same framing (performance, recognition, and competence) when referring to a“STEM identity.” Including the fields of technology, engineering, and mathematics to science(STEM), we argue, follows a similar trajectory. Therefore, we conceptualize recognition as theways in which students were given opportunities to either recognize themselves as “STEMpeople” or received this recognition from peers or instructors. We conceptualize competence andperformance as opportunities that students had at Blue Lake College to build a pathway toward acareer in STEM. We examine

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tayo Obafemi-Ajayi, Missouri State University; Naomi L Dille, Missouri State University; Dhanush Bavisetti, Missouri State University; Sherrie Ilene Zook

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47009BOARD # 71: Integrating Machine Learning into Middle and High SchoolCurricula using Alzheimer’s Disease Prediction ModelsDr. Tayo Obafemi-Ajayi, Missouri State University Dr. Tayo Obafemi-Ajayi is an Associate Professor of Electrical Engineering at Missouri State University in the Engineering Program, a joint program with Missouri University of Science and Technology (S&T). She obtained her B.S and MS in Electrical Engineering and a PhD in Computer Science from Illinois Institute of Technology.Dr. Naomi L Dille, Missouri State UniversityDhanush Bavisetti, Missouri State UniversityMrs. Sherrie Ilene Zook

Conference Session

Computers in Education Division (COED) Track 2.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Venkata Alekhya Kusam, University of Michigan - Dearborn; Zheng Song, University of Michigan - Dearborn; Khalid Kattan, University of Michigan - Dearborn; Bruce R Maxim, University of Michigan - Dearborn

Tagged Divisions

Computers in Education Division (COED)

Michigan - Dearborn Dr. Song received his second PhD in Computer Science (with a focus on distributed systems and software engineering) from Virginia Tech USA in 2020, and the first PhD (with a focus on wireless networking and mobile computing) from Beijing University of Posts and Telecommunications China in 2015. He worked as a software engineer at Sina for one year after he graduated as a master from China Agriculture University in 2009. He received the Best Paper Award from IEEE Edge in 2019.Khalid Kattan, University of Michigan - Dearborn Dr. Khalid Kattan received his Ph.D. from Wayne State University in 2019 in Artificial Intelligence with a focus on Evolutionary Computation, Genetic and Cultural Algorithms. He

Conference Session

GSD 8: Industry and Professional Skills

Collection

2025 ASEE Annual Conference & Exposition

Authors

Zilong Pan, Lehigh University; Volkmar Dierolf, Lehigh University; Anand Jagota, Lehigh University; Himanshu Jain, Lehigh University

Tagged Divisions

Graduate Studies Division (GSD)

Paper ID #45707Role of industry-university partnership in STEM graduate training: industrymentors’ perspectiveZilong Pan, Lehigh University Zilong Pan is an assistant professor of teaching, learning and technology, his research focuses on emerging educational technologies and innovative methodological approaches in educational practices and studies in STEAM (science, technology, engineering, arts, and mathematics) disciplines.Volkmar Dierolf, Lehigh University Volkmar Dierolf is a Professor of Physics a Distinguished University Professor of Physics and Materials Science & Engineering at Lehigh University, where he has

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Wei Wayne Li, Texas Southern University; Desirée Jackson Ph.D., Texas Southern University; Mahesh Vanjani, Texas Southern University; Yvette E. Pearson P.E., University of Texas at Dallas; Lila Ghemri; Shishir Shishodia, Texas Southern University; Huan Xie, Texas Southern University; Linda Michelle Gardiner, Texas Southern University

Tagged Topics

Diversity, NSF Grantees Poster Session

journals and has held a variety of leadership ans service roles at International conferences, including Steering Committee Member, General Chair, TPC Chair, Publicity Chair, Session Chair, and TPC Member.Desir´ee Jackson Ph.D., Texas Southern University Dr. Desir´ee Jackson has been working as the Assistant Dean in the College of Science, Engineering and Technology (COSET) at Texas Southern University (TSU) for over 12 years. She earned her Ph.D. in Biomedical Science at Meharry Medical College in Nashville, TN. Her postdoctoral work in molecular genetics was completed at Baylor College of Medicine in Houston, TX. During her tenure at Texas Southern University, she has also served as Interim Chair of the Biology

Conference Session

DSAI Technical Session 8: Learning Analytics and Data-Driven Instruction

Collection

2025 ASEE Annual Conference & Exposition

Authors

Chuhao Wu, Pennsylvania State University; Sarah Zipf, Pennsylvania State University; Na Li, Penn State University; David Benjamin Hellar, The Pennsylvania State University

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

Paper ID #47715Data-Informed instruction: pedagogical responses and obstacles in using learninganalyticsMr. Chuhao Wu, Pennsylvania State University Chuhao Wu is a Ph.D. candidate in Informatics at the Pennsylvania State University. He holds a master’s degree in Industrial Engineering from Purdue University. His research focuses on the human-centered design of educational technology and the application of artificial intelligence in higher education.Sarah Zipf, Pennsylvania State University Sarah Zipf, Ph.D. is a researcher with Teaching and Learning with Technology at the Pennsylvania State University.Ms. Na Li, Penn State

Conference Session

ELOS Technical Session 6: BYOE (Bring Your Own Experiment): Engaging Students with Creative Hands-on Laboratory Experiences

Collection

2025 ASEE Annual Conference & Exposition

Authors

timothy C scott, Sweet Briar College; Lemuel T Curran, Sweet Briar College

Tagged Divisions

Experimentation and Laboratory-Oriented Studies Division (DELOS)

the high school level, earning recognition for innovation and leadership in STEM programs. His industry background includes product development at Bigg Design and engineering roles at NIST, Omnitech, and Philips Technology, with projects ranging from energy systems to robotic assembly lines. Lem holds a B.S. in Mechanical Engineering from the University of Maryland, an M.S. in Management Science from Liberty University, and is trained as a machinist with expertise in CAD software, welding, CNC machining, and 3D printing. ©American Society for Engineering Education, 2025 Laboratory Fixture for Heat Transfer Using a Hair DryerAbstractThis paper describes a simple test fixture for

Conference Session

Two-Year College Division (TYCD) Technical Session 2: Student Success and Support

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hilda Cecilia Contreras Aguirre, New Mexico State University; Maryanne Long PhD, University of Texas - El Paso; Concepcion Martinez Miller, New Mexico State University

Tagged Topics

Diversity

Tagged Divisions

Two-Year College Division (TYCD)

,Technology, Engineering, and Math courses applied for and were hired as peer mentors tosupport undergraduate students enrolled in the same courses. This program took place at aHispanic-Serving community college in the Southwest United States, where there are lowgraduation rates. This has resulted in low rates of students transferring to four-year, bachelor’sdegree-granting institutions. Beginning with one peer mentor in one course, the peer mentoringprogram expanded to 18 peer mentors embedded in 30 courses. Peer mentors were required toattend each class, assist students with in-class assignments, and provide office hours that oftenincluded study strategies and group review sessions. In addition, peer mentors provided supportand guidance for non

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jen-Mei Chang, California State University, Long Beach; Jelena Trajkovic, California State University Long Beach; Gino Galvez, California State University, Long Beach

Tagged Topics

Diversity, NSF Grantees Poster Session

projects. Broadly, his research has focused on interventions that broaden participation in STEM, underrepresented student success, undergraduate research training, and the development of science identity. ©American Society for Engineering Education, 2025 NSF S-STEM: Advancing STEM Undergraduate Success and Persistence through Scholarship, Mentorship, and Increased Sense of BelongingAbstractThis paper examines the impact of a National Science Foundation Scholarships in Science,Technology, Engineering, and Mathematics (NSF S-STEM) Program at a large, Minority-Serving institution in the western U.S. Despite growing efforts to diversify STEM fields,underrepresented minority (URM) students continue to face

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ying Wang, FHI 360; Emily Bolger; Rachel L Renbarger; Taylor Boyd, Western Michigan University; Noah D Finkelstein, University of Colorado Boulder; Charles Henderson, Western Michigan University ; Andrea L Beach, Western Michigan University; Scott P. Simkins, North Carolina A&T State University; Marcos Caballero

Tagged Topics

NSF Grantees Poster Session

Paper ID #47308BOARD # 358: ECR: Facilitating change in undergraduate STEM: A multidisciplinary,multimethod metasynthesis mapping a decade of growthDr. Ying Wang, FHI 360 Ying Wang is an education researcher in the U.S. Education at FHI 360, a nonprofit human development organization. Formerly, she was a Postdoctoral Fellow in the College of Engineering at the Georgia Institute of Technology since Fall 2021. She earned her Ph.D. in Educational Psychology at The Pennsylvania State University and her Master of Education at Temple University. Ying is an educational psychologist who applies educational psychology science in

Conference Session

Computers in Education Division (COED) Track 2.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ryan Tsang, University of California, Davis; SYDNEY Y WOOD, University of California, Davis

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47473Help or Hype? Exploring LLM-based Chatbots in Self-Regulated LearningRyan Tsang, University of California, Davis Ryan Tsang is currently a PhD Candidate in Electrical and Computer Engineering and is interested in Embedded Systems, Firmware Security, Engineering Education and Evidence-based Teaching Practices.SYDNEY Y WOOD, University of California, Davis ©American Society for Engineering Education, 2025 Help or Hype? Exploring LLM-based Chatbots in Self-Regulated Learning Tasks Tsang, Ryan Wood, Sydney

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Thomas Rossi, University of New Haven; Ekaterina Vasilyeva, University of New Haven; Ren Oberdorfer, University of New Haven; Jhansi Sreya Jagarapu, University of New Haven

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47483BOARD # 74: Mental Health Resource App Developed for University Communityby StudentsMr. 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.Ekaterina

Conference Session

DSAI Technical Session 9: Student Reflections, Metacognition, and Competency Mapping

Collection

2025 ASEE Annual Conference & Exposition

Authors

Paromita Nath, Rowan University; Melanie Amadoro, Rowan University

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

Paper ID #48484Quantifying the Effects of Concept Maps on Student LearningDr. Paromita Nath, Rowan University Dr. Paromita Nath is an Assistant Professor in Mechanical Engineering at Rowan University. She earned her Ph.D. in Civil Engineering from Vanderbilt University. She is passionate about advancing engineering education through machine learning and data analysis, building on her expertise in uncertainty quantification, Bayesian inference, process design and control under uncertainty, and probabilistic digital twin. Her research spans diverse applications, including additive manufacturing and public health.Ms. Melanie

Conference Session

Computers in Education Division (COED) Track 3.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Friday Emmanuel James, Kansas State University; Joshua Levi Weese, Kansas State University; Russell Feldhausen, Kansas State University; Nathan H Bean, Kansas State University; Michelle Friend, University of Nebraska - Omaha; David S. Allen, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

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 developed

Conference Session

Materials Division (MATS) Technical Session 2: Activities with Impact! Special Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jonathan R. Brown, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Materials Division (MATS)

Paper ID #46501Increasing In-Class Participation in Materials Science Education throughAnonymized DiscussionsJonathan R. Brown, The Ohio State University Jonathan Brown (B.S., M.S. Mathematics, New Mexico Institute of Mining and Technology; Ph.D. Materials Engineering, New Mexico Institute of Mining and Technology) is an Assistant Professor of Practice in the Department of Materials Science and Engineering at The Ohio State University. His background is in computer simulations and theory of polymer glasses and block copolymers for energy applications. He teaches introduction to materials science and engineering and

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jaejin Hwang, Northern Illinois University

Tagged Topics

Diversity, NSF Grantees Poster Session

Paper ID #46081BOARD # 407: NSF ITEST: A Data-Driven Approach to UnderstandingComputational Thinking in Children: Embodied Learning with AugmentedReality and a Social RobotDr. Jaejin Hwang, Northern Illinois University Dr. Jaejin Hwang, is an Associate Professor of Industrial and Systems Engineering at NIU. His expertise lies in physical ergonomics and occupational biomechanics and exposure assessment. His representative works include the design of VR/AR user interfaces to minimize the physical and cognitive demands of users. He specializes in the measurements of bodily movement as well as muscle activity and intensity to

Conference Session

GSD 1: From Recruitment to Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Anne Lynn Gillian-Daniel, University of Wisconsin - Madison; Rebecca Cors, University of Wisconsin - Madison; Wendy C. Crone, University of Wisconsin - Madison; Victor zavala, University of Wisconsin - Madison; Derek Johnson, University of Wisconsin - Madison; Kerri Lyn Phillips, University of Wisconsin - Madison

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies Division (GSD)

feedback, along with insightsfrom observation data, and the experiences of the FF planning committee, will be used to shapethe 2025 program with a long-term goal of expanding the program beyond MRSEC affiliateddepartments.IntroductionAs part of its mission to broaden participation of people who are historically underrepresented inscience, technology, engineering, and mathematics (STEM) fields, the National ScienceFoundation (NSF)- funded Wisconsin MRSEC works to retain graduate students by providingthe support they need to be successful, including financial, academic, and psychosocial support.The Wisconsin MRSEC also promotes multidisciplinary collaboration, close relationships withfaculty, and immersion in research. In support of this mission

Conference Session

DSAI Technical Session 1: K–12 and Early Exposure to Data Science and AI

Collection

2025 ASEE Annual Conference & Exposition

Authors

Carrie Grace Aponte, Kansas State University; Safia Malallah, Kansas State University; Lior Shamir, Kansas State University

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

Figure 1. Figure 1: Diagram of Paper FilteringKeywords, Databases, and Criteria The keywords used in the database queries (”Tools” Or”Technology” Or ”Resources” Or Pedagogy” Or ”Curriculum”) AND (”K-12” Or ”MiddleSchool” Or ”High School” or ”Elementary School” or ”Primary School” or ”Children”) AND”Data Science Education”. The search engines used were Google Scholar, IEEE Xplore, ACM,and K-State Libraries Search. The source types were limited to scholarly journals and conferencepapers or proceedings. Masters and doctoral dissertations were excluded, and the scope wasfurther narrowed to studies conducted in the United States within the last 10 years.ResultsOur general research questions are as follows: • RQ1 What

Conference Session

Materials Division (MATS) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Susan P. Gentry, University of California, Davis; Erika La Plante, University of California, Davis

Tagged Topics

Diversity

Tagged Divisions

Materials Division (MATS)

Paper ID #45780Materials Science Rocks! Using Geology Specimens to Teach Microstructuresand Error AnalysisDr. Susan P. Gentry, University of California, Davis Dr. Susan P. Gentry is an Associate Professor of Teaching Materials Science and Engineering at the University of California, Davis. She is interested in developing and implementing pedagogically-based teaching modules in the undergraduate and graduate curriculum. She is also interested in engineering student mental health and wellness.Erika La Plante, University of California, Davis ©American Society for Engineering Education, 2025

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ruchi Dilip Kukde, Texas State University; Twyla Hough, Texas State University; Shetay Ashford-Hanserd, Texas State University

Tagged Topics

Diversity, NSF Grantees Poster Session

Hispanic women in the computing pipeline. The study uses theCCW framework to explore the role of cultural capital in supporting educational and careertrajectories in response to the persistent underrepresentation of women of color in science,technology, engineering, mathematics, and computing (STEM+C). Underrepresentation of Blackand Hispanic women in STEM+C is a critical issue hindering diversity, equity, and innovationwithin these disciplines [3-6]. According to the National Science Foundation, while womenconstitute 49% of the overall U.S. population (ages 18-34) and 50% of the STEM workforce, theyonly account for 15% of the computing workforce [7, 8]. Their underrepresentation in P-20 STEMeducation and professions is largely related to systemic

Conference Session

DSAI Technical Session 8: Learning Analytics and Data-Driven Instruction

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alyson Grace Eggleston, Pennsylvania State University; Robert J. Rabb P.E., The Pennsylvania State University; Eric Donnell, The Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

. 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

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kangxuan Rong, Cornell University; Campbell James McColley, Cornell University; Ted Karanja Mburu, University of Colorado Boulder; Alexandra Werth, Cornell University

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47187BOARD #100: Work In Progress: Analyzing the effects of AI powered toolson STEM Learning and Pedagogical ResearchKangxuan Rong, Cornell UniversityDr. Campbell James McColley, Cornell University Dr. Campbell McColley is a Postdoctoral Associate in the Department of Biomedical Engineering (BME) at Cornell University in the Biomedical Engineering Education Assessment and Research (BEEAR) Group. He received his Ph.D. in Environmental Engineering from Oregon State University, where he investigated microplastics transformations and behavior in aquatic environments. His work focuses on faculty and student

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Dominic J Dal Bello, Allan Hancock College; Eva Schiorring, STEMEVAL; Jens-Uwe Kuhn, Santa Barbara City College; Jason Curtis, Cuesta College; Christine L Reed, Allan Hancock College; Francisco E Jimenez, Cabrillo College; Gabriel Cuarenta-Gallegos, Cuesta College; Leila Jewell, Monterey Peninsula College; Thomas Rebold, Monterey Peninsula College; Vincent Mark Briones Crisostomo, Moorpark College; Marcella Klein Williams, Oxnard College; Justin William Miller, Oxnard College; Franco Javier Mancini, Santa Barbara City College; Joe Selzler, Ventura College

Tagged Topics

Diversity, NSF Grantees Poster Session

additional connections.Of the 33 posters presented in Fall 2024, 13 were from university research experiences, 17 fromresearch done at/sponsored by community colleges, 2 were industry/government internships and1 was from a national design competition. Posters from the 2024 symposium included:  Comparing Native and Introduced Species: Biodiversity and Predation Patterns in Alaska vs Panama (AHC)  Seasonality of nitrogen-fixing Braarudosphaera bigelowii in coastal Monterey Bay, California (Cabrillo)  Utilizing the Engineering Design Process to Incorporate Pressure Sensors into a Vex Robotic Arm and Track System with Multiple Arduino Uno Microcontrollers (Cuesta)  Applications of ROV Technology in Environmental Sampling: The Hunt

Conference Session

Institutional Support and Training (Equity, Culture & Social Justice in Education Division ECSJ Technical Session 12)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Danni Lopez-Rogina, Colorado School of Mines; Stacey Roland, Colorado School of Mines; Jessica Mary Smith, Colorado School of Mines; Heather Thiry

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

work in progress (WIP) research paper is to explore the ways that DEIA(Diversity, Equity, Inclusion, Access) training provided to student leaders within STEM(Science, Technology, Engineering, Math) universities can be conducted in more inclusive ways.The way DEIA is taught can often, itself, be exclusionary and rest on problematic assumptionsabout learners and how they experience those spaces. The continued gatekeeping and socialexclusion of minoritized individuals from engineering must be continually challenged to beginaddressing the damage that years of institutional denial created, but so often those who needrecognition are physically or socially excluded through alienation from DEIA education spaces.The BASE Camp program (Belonging and

Conference Session

Computers in Education Division (COED) Track 5.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jina Wilde, The University of Texas at San Antonio; Michael Zawatski, The University of Texas at San Antonio; Darean Wilde, The University of Texas at San Antonio; Emiliano Beltran, The University of Texas at San Antonio; Amanda S. Fernandez, The University of Texas at San Antonio; Timothy Yuen, The University of Texas at San Antonio

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

, markedwith an asterisk (*). These projects were part of both the Summer Institute and the onlinemodules. In addition to these projects, the program addressed a broad range of topics designed toequip participants with the skills necessary for teaching computer science. The following is anoverview of the modules developed by CS4SA:Summer Institute Topics: 1. Computer Science for Diverse Learner Populations 2. Fundamentals of Programming in Java (with BlueJ)* 3. Object-Oriented Programming (with BlueJ)* 4. Data Structures (with BlueJ)* 5. Educational Robotics (projects)*Online Modules (after the Summer Institute): 6. Algorithms 7. Software Engineering Practices 8. Discrete Mathematics 9. Digital Forensics 10. Technology