Haikal, T., & Lightfoot, R. H. (2024, March), Enhancing Education Through Thoughtful Integration of Large Language Models in Assigned Work  Paper presented at 2024 ASEE-GSW, Canyon, Texas. 10.18260/1-2--45377

\bibitem{asee_peer_45377}
  Haikal, T., \& Lightfoot, R. H. (2024, March), \emph{Enhancing Education Through Thoughtful Integration of Large Language Models in Assigned Work}
  Paper presented at 2024 ASEE-GSW, Canyon, Texas.
  10.18260/1-2--45377

Tonia Haikal and Robert Harold Lightfoot Jr.  "Enhancing Education Through Thoughtful Integration of Large Language Models in Assigned Work".  2024 ASEE-GSW, Canyon, Texas, 2024, March.  ASEE Conferences, 2024.  https://peer.asee.org/45377 Internet.  20 May, 2024

\bibitem{asee_peer_45377}
  Tonia Haikal and Robert Harold Lightfoot Jr.
  "Enhancing Education Through Thoughtful Integration of Large Language Models in Assigned Work".
  \emph{2024 ASEE-GSW, Canyon, Texas, 2024, March}.
  ASEE Conferences, 2024.
  https://peer.asee.org/45377 Internet.  20 May, 2024

@INPROCEEDINGS{asee_peer_45377
author = "Tonia Haikal and Robert Harold Lightfoot Jr"
title = "Enhancing Education Through Thoughtful Integration of Large Language Models in Assigned Work"
booktitle = "2024 ASEE-GSW"
year = "2024"
month = "March"
address = "Canyon, Texas"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/45377}
number = {10.18260/1-2--45377}
}

TY  - CPAPER
AB  - 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 a mixed-methods approach, combining quantitative analysis of educational outcomes with observational research to understand the impact of our different approaches in our assignments. This approach allows us to see firsthand how these technologies are integrated into the classroom and how they affect teaching and learning dynamics.
AU  - Tonia Haikal
AU  - Robert Harold Lightfoot Jr
CY  - Canyon, Texas
DA  - 2024/03/10
PB  - ASEE Conferences
TI  - Enhancing Education Through Thoughtful Integration of Large Language Models in Assigned Work
UR  - https://peer.asee.org/45377
DO  - 10.18260/1-2--45377
ER  -