Location
CoLab, OCB 100
Start Date
25-4-2024 10:30 AM
Document Type
Poster
Description
In this presentation, I will be exploring the multifaceted applications of LLMs (Large Language Models) and AI within educational contexts. The advancements in this realm present vast opportunities for enhancing student feedback, accelerating the learning process, providing invaluable tools for both educators and students, and easing the burdens on the teachers in large class sizes. Given the budding stage of this field, it presents an exciting frontier for research and development, holding the promise of large shifts in the paradigms of learning and education in the foreseeable future.
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Adapting to the Future: Examining LLMs and AI for Education Advancement
CoLab, OCB 100
In this presentation, I will be exploring the multifaceted applications of LLMs (Large Language Models) and AI within educational contexts. The advancements in this realm present vast opportunities for enhancing student feedback, accelerating the learning process, providing invaluable tools for both educators and students, and easing the burdens on the teachers in large class sizes. Given the budding stage of this field, it presents an exciting frontier for research and development, holding the promise of large shifts in the paradigms of learning and education in the foreseeable future.
Comments
The faculty mentor for this project was Beth Edmonds, STEM Scholars.