Conference Session

Track 3: Technical Session 6: Uncovering the less-heard histories and barriers of Asian and Asian American Students

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Siqing Wei, Purdue University at West Lafayette (COE); Marissa A Tsugawa, Utah State University - Engineering Education; Li Tan, Arizona State University, Polytechnic Campus

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2025 CoNECD Paper Submissions, Diversity

released a report, titled, “The Rise ofAsian Americans” (Pew Research Center, 2012) based on the 2010 U.S. census (U.S.Census Bureau, 2012). The title referred, in part, to the changing demographic andsocioeconomic trends. In 1960, Asian Americans comprised less than one percent ofthe U.S. population, but account for 5.6% today—becoming the fastest growing groupin the country. Immigration is driving much of this demographic change (Alba & Nee,2003; Lee & Bean, 2010). China and India have now surpassed Mexico as the leadingsources of new immigrants to the United States. Demographers project that, by 2065,immigrants from Asia will comprise 38% of all immigrants to the country. As a result,Asian Americans will nearly triple in size, and

Collection

2025 Northeast Section Conference

Authors

Shruti Brahma, University of New Haven; Siddhant Alhat Rajendra, University of New Haven; Ardiana Sula, University of New Haven

[19] F. Chollet, “Keras.” https://keras.io, 2015. Accessed: [date you ac-predictive analytics, making it more accessible and actionable cessed]. [20] D. P. Kingma and J. Ba, “Adam: A Method for Stochastic Optimization,”for all stakeholders. 2015. [21] S. G. Makridakis, S. C. Wheelwright, and R. J. Hyndman, Forecasting: ACKNOWLEDGMENT Methods and Applications. New York: Wiley, 3rd ed., 1998

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Claire Lynne McCullough PE, High Point University; Mike Dalton, High Point University

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Professional Papers

nets which could handle complexlearning tasks. [6]. The development of deep learning in the 2010s significantly improved thecapability of neural nets to handle very large data sets. This enhanced the ability of artificialsystems to handle tasks such as image classification, speech recognition and natural languageprocessing, which had been handled with limited success by traditional programming techniques.A new deep learning technique, introduced by Ian Goodfellow in 2014, was the development ofGenerative Adversarial Networks (GANs), in which two neural nets—a generator and adiscriminator—compete with each other to produce realistic “human-like images, sounds, music,and text [5].” These advances led to the Large Language Model (LLM) platforms

Conference Session

Track 5: Technical Session 1: Engineering and Computer Science Faculty Members' Personal and Professional Perspectives on Diversity, Equity, and Inclusion

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Yvette E. Pearson P.E., University of Texas at Dallas; Canek Moises Luna Phillips, Rice University; Lisa J. Borello, University of Texas at Dallas; Torrie Cropps; Jue Wu, Univertify of Florida; Samara Rose Boyle

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2025 CoNECD Paper Submissions, Diversity

(Slaton 2010). Further,while our larger project is focused on equity in STEM faculty hiring for racially and ethnicallyminoritized individuals, we were interested in collecting and analyzing data (for future studies)that covered several additional dimensions of diversity (e.g., disability, socioeconomic status,gender identity, and sexual orientation). Neither ATDS nor ACES is as comprehensive as thePohan and Aguilar scales with respect to the dimensions of diversity addressed.Data collected from attitude scales is susceptible to participants’ tendency to provide responsesthat are in line with the prevailing beliefs within a given social arena, a phenomenonpsychologists call social desirability bias (Neherdorf 1985). We added items from an

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Gafar Abbas Elamin P.E., The Citadel

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Professional Papers

. More practice with the formulas allow for greater success” - “Professor-prepared equation sheet with the ability to add more equations as needed is most beneficial.” - “Having the practice exams with similar problem types to the exam.” - “While we have a rough guess as to what will be on the exam, the professor preparing the sheets for us ensures that we will have exactly what we will need in order to complete the test. When preparing our own we go through the notes and ensure that we have every equation written, but it is not an uncommon occurrence to go through too many notes, ac- cidentally skip one lesson, or put in equations from further lessons that will not be on the test.” - “I

Collection

2025 Northeast Section Conference

Authors

Shashi Kiran Chandrappa; Sidike Paheding; Yu Cai Cai

and Llama 3.2,billion parameters, with the 11B and 90B versions optimized allowing for comparative performance evaluation. While bothfor visual recognition and image reasoning, outperforming models classify responses, their output consistency and rea-many existing models on industry benchmarks [16]. soning explanations are analyzed to assess interpretability, ac- 2) Microsoft Phi: Phi-3, developed by Microsoft, is a curacy, and computational efficiency. The classification outputcompact language model designed for efficiency and perfor- is mapped to session security threats such as session fixationmance. The phi-3-mini variant, with 3.8 billion parameters, and hijacking, aiding in real

Conference Session

Track 6: Technical Session 4: WIP: investigate recruitment strategies used by engineering bridge and success programs to recruit underserved students

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Xinyu Zhang, Purdue University; Lynette Michaluk, West Virginia University; N’Diya Harris, Wright State University; Ansley Lynn Shamblin, West Virginia University

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2025 CoNECD Paper Submissions, Diversity

education such as broadening participation in engineering, teaching technology innovations, and engineering entrepreneurship, as well as EEE discipline-based topics such as energy-water-environment nexus and sustainable biomanufacturing. Previously, Dr. Zhang was a Teaching Assistant Professor of Engineering at West Virginia University and has successfully led and expanded their summer bridge program for incoming first-year engineering students called Academy of Engineering Success (AcES).Lynette Michaluk, West Virginia University PI, is a social sciences researcher at the West Virginia University Center for Excellence in STEM Education. Her research interests include broadening access to and participation in STEM. She

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Nilanjana Raychawdhary, Auburn University; Chaohui Ren, Auburn University; Cheryl Seals, Auburn University; Sutanu Bhattacharya

Tagged Topics

Diversity, Professional Papers

feature allows students to learn at their own p ace, creating amore flexible and responsive learning experience.3 MethodologyThis research introduces a structured, multi-step framework tailored to enhance the learning experience ofundergraduate students studying NLP in Figure 1. The methodology combines theoretical instruction withinteractive tools, interdisciplinary case studies, and targeted applications in low-resource languages. Withdiverse teaching methods and innovative features, the framework addresses both the technical aspects andethical considerations inherent to NLP, aiming to give students a well-rounded understanding of the field.3.1 Research QuestionsA. What combination of theoretical and practical instruction best facilitates