Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

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

Tagged Topics

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

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Gafar Abbas Elamin P.E., The Citadel

Tagged Topics

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

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