Enhancing Education Through Thoughtful Integration of Large Language Models in Assigned Work
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Date
2024-03-10
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Publisher
ASEE - GSW
Abstract
In a world where technology is evolving rapidly, it is essential to note its significant intrusion into the field of education. Technology has made vast amounts of information accessible to students, making them over-reliant on technology and less reliant on nurturing their knowledge and imagination. While limiting technology's usage is impossible to stop, learning how to incorporate it efficiently in the educational system is essential. Integrating machine learning (ML) and artificial intelligence (AI) in education is a significant shift in educational methodologies. This transformation offers the possibility to change learning approaches while presenting challenges in the ethical field. This research paper explores the impact of machine learning (ML) and artificial intelligence (AI), particularly large language models like Chat GPT, on education in our classrooms. This topic is essential because it signifies a change in the methods that educators and students use to engage in a course, transforming the learning outcomes while upholding ethical principles. The application of ML and AI in education has attracted increasing attention, but the long-term effects of these technologies on learning achievements require further investigation. Therefore, we aim to find an approach that allows the integration of ML and AI, specifically Chat GPT, while maintaining high expectations in our classrooms. While tools like Chat GPT hold transforming educational potentials, their integration must be navigated thoughtfully, balancing technological advancements with concept learning and acquisition. In this paper, we utilize quantitative analysis of educational outcomes and observational research to understand the impact of LLM on Education. We will observe firsthand how these technologies are integrated into the classroom and how they affect teaching and learning dynamics.
Description
Undergraduate Research
Keywords
AI, Classroom, LLM, ML,
Citation
Haikal, T., & Lightfoot, R. H. (2024, March). Enhancing Education Through Thoughtful Integration of Large Language Models in Assigned Work. In 2024 ASEE-GSW.