Florida State University will convene specialists in artificial intelligence and machine learning this month to examine how these advanced technologies can be utilized in educational environments and how to ensure their ethical application in teaching contexts.
The 2025 Artificial Intelligence and Machine Learning Expo, AIMLX25, is scheduled from 9 a.m. to 5 p.m. on Friday, Feb. 28, at the Challenger Learning Center in Tallahassee, hosted by the FSU Interdisciplinary Data Science Master’s Degree Program.
This year’s gathering, the fifth installment in the annual AIMLX series, focuses on education and how AI and machine learning can improve students’ academic endeavors and instructors’ teaching approaches in the classroom. Participants at AIMLX25 will investigate how these technologies can enhance education through practical demonstrations and presentations from researchers across various fields, including educational psychology, education, English, digital learning, communication and information, and more.
“The capabilities of AI lie in its potential to boost automation, provide personalized education, and enable AI-assisted grading,” stated Gordon Erlebacher, director of FSU’s Interdisciplinary Data Science Master’s Degree Program and professor of scientific computing. “The difficulty lies in amalgamating these advantages while retaining the human aspect that AI cannot entirely supplant. Progress in diverse sectors such as healthcare — the focus of last year’s event — and education will become progressively more available to the public as research advances.”
FSU researchers will discuss various topics, including classroom methods, digital learning to equip students for careers in AI, and more. Presenters originate from the College of Arts and Sciences; the Anne Spencer Daves College of Education, Health, and Human Sciences; the Office of Digital Learning and Academic Technologies; the College of Communication and Information and additional FSU departments.
“Our future with these technologies is on the horizon, and if we do not capitalize on their potential, we risk lagging behind,” Erlebacher remarked. “AI has already showcased its talents in crafting lesson plans, providing constructive critiques on assignments, and executing other tasks. The potential uses are seemingly boundless, and skills acquired via AI can empower individuals to leverage their creativity and complete tasks that were once deemed unattainable just a few years prior.”
Associate Professor of English Michael Neal will present his research, “Decoupling Generative AI from Plagiarism: Toward a New Model of Authorship and Intellectual Property for Student Writers,” discussing how linking AI with plagiarism overlooks the thoughtful and legitimate applications of AI in academia and beyond.
“It is crucial for individuals to establish a healthy equilibrium between skepticism and the adoption of new technologies,” Neal stated. “Informed but critical and reflective applications of novel technologies can aid in their effective integration into educational environments while considering potential consequences. Many hold strong viewpoints about AI without a comprehensive understanding, so the greater diversity of voices contributing to discussions on AI and machine learning development, the better prepared we will be to incorporate it into academic settings while thoughtfully addressing possible social ramifications.”
The expo’s keynote speaker, Fengfeng Ke, is the Clark Leadership Chair Professor in the College of Education at the University of Maryland. Her keynote address, “Learner Modeling in AI-Powered Simulations,” will focus on her research into the creation of personalized educational technology systems, such as games and simulations applicable in math and science education.
“The prospective advantages of these technologies in society, especially in health and education, are immeasurable within the coming years,” Erlebacher shared. “We are watching history take shape in real time.”
For the complete schedule of presentations, events, topics, and presenter information, visit datascience.fsu.edu/event/aimlx25.
AIMLX25 is supported by FSU’s College of Arts and Sciences, College of Communication and Information, School of Information, Department of Computer Science, Department of Scientific Computing, Department of Mathematics, Department of Modern Languages and Linguistics, Department of Statistics, and the Jim Moran College of Entrepreneurship.
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