Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Fazil T. Najafi, University of Florida; Vani Ruchika Pabba, University of Florida; Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College; Sofia M Vidalis, Pennsylvania State University, Harrisburg, The Capital College

Tagged Topics

Diversity, Professional Papers

research-based assignments has been exploredless. This study investigates the efficiency and fairness of using AI, specifically ChatGPT, tograde theoretical understanding and research paper assignments in undergraduate and graduatecourses. The research was conducted in two phases. In the first phase, we assessed ChatGPT'sperformance in grading assignments, focusing on time efficiency, consistency, and gradingpatterns. We compared AI-assisted grading with traditional human grading methods in thesecond phase. We then analyzed variations in scores, potential biases, and feedback'sperceived usefulness. We conducted surveys to gather perceptions from both students andeducators regarding AI-based grading.The results indicated that AI-assisted grading

Collection

2025 ASEE -GSW Annual Conference

Authors

Rojan Shrestha, The University of Texas at Arlington

Tagged Topics

Diversity

and scipy (version 1.7.1) for statistical computations. IEEE Open Journal of the Communications Society, vol. 4, pp. 2952 2971, 2023, doi: 10.1109/OJCOMS.2023.3320646.tools such as Large Language models like ChatGPT are being The sentiment analysis component utilized multiple indicators A moderate positive correlation was observed between self-reported AI [3] Li Y, Wang C, Cao Y, et al. Human pose estimation based in-home lower body rehabilitation system[C]//2020implemented in educational institutions to provide personalized learning

Conference Session

Track 4: Technical Session 5: Impact of Generative AI Technologies on Blind and Visually Impaired Students: A Case Study

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Lance Leon Allen White, Texas A&M University; Sara Amani, Texas A&M University; Trini Sofia Balart, Texas A&M University; Amanda Kate Lacy; Gene Sung-Ho Kim, Stanford University; Gibin Raju, Texas A&M University; Karan Watson P.E., Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

of Blind and Visually Impaired Students and the Impact of Generative AI: A NarrativeAbstractThe advent of Generative AI (GenAI) in our society has taken root so deeply that simple Googlesearches invoke a GenAI response attempting to synthesize a simplified summary for a user.Incidentally, these GenAI systems like ChatGPT from OpenAI, LLaMA from Meta, Geminifrom Google, and Copilot from Microsoft are all largely text-based large language modelsproviding an increased level of access to people who use screen reading technology to interactwith personal computing systems. This study investigates the impact of GenAI on accessibilityfor blind and visually impaired students, focusing on the experiences of two computing

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Aniruddha Maiti; Samuel Adewumi; TEMESGEN ALEMAYEHU TIKURE; Zichun Wang; Niladri Sengupta; Anastasiia Sukhanova, Marshall Community & Technical College; Ananya Jana, Marshall University

Tagged Topics

Diversity

outputs of bothmodels.For alignment, fuzzy matching techniques were used. These techniques matched sentences be-tween GPT-4o and DeepSeek R1, even when there were minor differences in phrasing. This ap-proach improved the accuracy of mapping and ensured consistency in the processed data. Theresult was a clean and reliable dataset for analysis.5.2. Overall Categorization CoverageWe analyzed the total number of sentences processed and the extent to which GPT-4o and DeepSeekR1 provided category assignments. Table 1 summarizes the categorization coverage across all an-alyzed sentences. ChatGPT DeepSeek Total Sentences 1823 1823

Collection

2025 ASEE -GSW Annual Conference

Authors

Colby Edward Kurtz, Houston Christian University

Tagged Topics

Diversity

AbstractThis paper demonstrates the design and implementation of an innovative gamified softwareapplication for learning human-spoken languages. The game serves as an interactive and enjoyablesupplement to aid the learning process of different languages for elementary-aged children. At its core,the application uses a translation Application Programming Interface (API) to process text and outputtranslations in the target language chosen by the learner. Additionally, it is AI-enabled, allowing theutilization of APIs such as OpenAIs’s ChatGPT to enhance the translation capabilities. Provided is abasic proof of concept that was developed as part of the Final Pi Project in the Intermediate ComputerProgramming (COSC 1352) course. The gamified program was

Conference Session

Track 3: Technical Session 1: Bridging Educational Equity Gaps: A Systematic Review of AI-Driven Tools for Students Living with Disabilities in Engineering and STEM Education

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Kevin Zhongyang Shao, University of Washington; Denise Wilson, University of Washington; Eric Kyeong-Min Cho, University of Washington; Sophia Tang, University of Washington; Hanlin Ma, University of Washington; Sep Makhsous, University of Washington

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

intersecting factors on theaccessibility of educational resources, opportunities, accommodations, and support systems.In recent years, the pursuit of educational equity has increasingly intersected with advancementsin technology, particularly artificial intelligence (AI). Just as earlier legal and policy reformssought to address the systemic barriers faced by marginalized groups, technological innovationsare opening new pathways to equitable education. A pivotal moment in AI research occurred inMarch 2016, when AlphaGo defeated the world chess champion, capturing global attention andsparking global interest across numerous fields. In education, AI-driven tools have similarlyushered in a new era, with tools like ChatGPT. Introduced in November 2022

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Shenghua Wu, University of South Alabama; Min-Wook Kang, University of South Alabama; John Cleary, University of South Alabama; Lisa LaCross, University of South Alabama

Tagged Topics

Diversity, Professional Papers

writing In-class activity2.1 Week 1: First In-person Meeting Activity: Setting Up Your Goal2.1.1 Use of MentimeterIn the first in-person class, the course expectations are introduced. A Mentimeter is used to makethe session interactive and engaging. The following questions are asked during the first meeting,allowing students to see their responses in real-time: How are you today? Use one word todescribe how you feel now. How do you rate your current writing skill? (0-100 points). Howmany journal articles (not including conference presentations) have you published so far? Whatare your expectations for this course? Have you used AI (e.g. ChatGPT) in your academic work?Which area(s) do you find challenging when starting to write? How are

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Marino Nader, University of Central Florida

Tagged Topics

Diversity, Professional Papers

, DOI: 10. 1080/105112506008661663. Fask, A., Englander, F., & Wang, Z. (2014). Do online Exams Facilitate Cheating? An Experiment Designed to Separate Possible Cheating from the Effect of the Online Test Taking Environment. J Acad Ethic, 12:101–112 DOI 10.1007/s10805-014-9207-14. Charlesworth, P., Charlesworth, D.D., & Vician, C. (2006) Students’ Perspectives of the influence of Web- Enhanced Coursework on Incidences of Cheating, Journal of Chemical Education, vol. 83 No.9.5. Chegg Inc., website https://www.chegg.com, accessed on November 4th, 2024.6. ChatGPT 4o, https://chat.openai.com, accessed on November 4th, 2024.7. Coure Hero, website www.coursehero.com, accessed on November 4th, 2024.8. Nader, M

Conference Session

Track 5: Technical Session 6: Advancing Accessibility: Leveraging Technology to Empower Deaf and Hard of Hearing Students in STEM Higher Education

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Sunday David Ubur, Virginia Polytechnic Institute and State University; Sarah Over, Virginia Tech; Denis Gracanin, Virginia Polytechnic Institute and State University; C. Cozette Comer, Virginia Polytechnic Institute and State University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

precision in controlled environments, focusing on improving model accuracy.However, the emphasis on machine learning also reflects a broader gap in addressing otheraccessibility challenges, particularly in contexts where communication is not the only barrier.Large Language Models (LLMs) such as ChatGPT and chat bots are other technology that couldbe explored to enhance communication accessibility for the hearing impaired [56], however thelack of tested application of LLMs to address accessibility for the hearing impaired may be, atleast in part, explained by how recently LLMs became available to the public.Limited Focus on Classroom AccessibilityDespite the wide range of technology explored, there is a noticeable dearth of studies aimedspecifically

Conference Session

CANCELLED: Track 6: Technical Session 1: A Student-Centered, Theory-Informed, Integrated Model to Academic and Career Advising to Educate the Whole Engineer: Transforming Engineering Education and Broadening Participation in Engineering is Possible!

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Olga Pierrakos, Wake Forest University; Melissa C Kenny, Wake Forest University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

content generated from ChatGPT 4.0 (Sept. 2, 2024)and edited by the lead author, are showcased in Figure 2. We do not suggest that this is anexhaustive list of higher education career advising models, but this information offers somerelevant insights upon which to understand and consider different approaches to career advising. Figure 2: Some of the career advising models we see across higher education. This is not an exhaustive list or representation. Many existing career advising models combine elements and features from various of these models.III. THEORETICAL FRAMEWORKS GUIDING WHOLE STUDENT DEVELOPMENTAs an engineering education researcher, the lead author (Pierrakos) has been an NSF-fundedprincipal investigator

Conference Session

CANCELLED: Track 5: Technical Session 5: Hiring Practices to Build a Diverse Team at Wakr Forest Engineering: Transforming Engineering Education and Broadening Participation in Engineering is Possible!

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Olga Pierrakos, Wake Forest University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

education faces, and manyorganizations face, in recruiting diverse talent is also known. According to ChatGPT 4.0(September 2, 2024) and edited to be represented in a figure format (Figure 1), we highlight justsome of the challenges that hinder organizations from building diverse teams. Some of thesechallenges that hinder higher education and hinder engineering education too include: • Biases in Recruitment Processes • Biased Institutional Barriers and Practices • Misalignment of Goals and Practices • Resistance to Change • Company Culture and Lack of Inclusivity • Resource Constraints to Implement Effective Strategies • Lack of Diversity