Purpose:
This project is focused on exploring AI in higher education to understand better the affordances and constraints associated with its integration into teaching and learning environments. Aims include identifying how AI can enhance educational outcomes by streamlining administrative processes such as grading and providing personalized student learning experiences. Considerations also include the ethical implications, data privacy concerns, and potential for AI to widen or narrow existing educational inequalities.
Technologies:
GPT-4 Turbo
Support:
$20/mo. for GPT Plus Subscription
Summary:
Poster summary of our work presented at the MSU AI Networking Event and Poster Session.
This study will explore the efficacy of ChatGPT-4 Turbo in assessing written assignments within a physiology laboratory course. Building upon previous studies, it will present a detailed methodology for incorporating AI into educational settings, focusing specifically on writing tasks. The study will also examine the advantages, potential obstacles, and ethical implications of employing AI in education.
The results of this study will have significant implications for teaching with AI, notably in large lecture settings where student engagement is often confined to multiple-choice and similar closed-ended evaluation.