Women in AI Series 2025 - Integrating Generative AI Tools in Computer Science Course-based Research Experiences: Dr. Paula Lauren
Course-based Undergraduate Research Experiences (CUREs) have proven effective in engaging all students in authentic research within regular coursework, enhancing learning outcomes and preparing students for graduate studies. This talk examines a novel approach to strengthening CUREs through the strategic integration of Generative AI tools in computer science education. Drawing from empirical research conducted in a machine learning course, an exploration of how foundation models can enhance the four-week CURE framework encompassing research overview, literature review, research design and methods, and paper construction. The presentation will detail specific applications of AI in supporting literature reviews, coding assistance, and concept clarification, while addressing the pedagogical considerations essential for responsible implementation. Will also discuss the observed positive trends in student perceptions of research effectiveness, particularly in literature review processes, alongside critical challenges including instructor training needs, potential over-reliance, and accessibility concerns.
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- Starts 06 March 2025 05:00 AM UTC
- Ends 25 November 2025 05:00 AM UTC
- No Admission Charge
Speakers
Paula of Lawrence Technological University
Biography:
Paula Lauren earned a Ph.D. in Computer Science from Oakland University in 2018, bringing over 10 years of industry experience to academia, with roles spanning from computer programmer to software engineering manager. At Lawrence Tech, she teaches undergraduate and graduate courses in artificial intelligence, machine learning and pattern recognition, text-based machine learning, database systems, and foundational computer science courses. Her research interests include Computer Science Education, Agentic AI, and Music Information Retrieval. Paula's unique combination of extensive industry experience and academic expertise informs her approach to integrating cutting-edge AI technologies into educational frameworks, particularly in preparing students for the evolving demands of technology-driven careers.
Address:Michigan, United States