Document Type

Conference Proceeding

Abstract

Generative AI, like ChatGPT, is revolutionizing education. While its benefits in personalizing learning and providing formative feedback are well-documented, its full potential remains largely unexplored. This paper focuses on Gemini, Google's AI engine, and investigates its capabilities in a research setting. A doctoral student conducted informal research by applying Gemini to various statistical analyses within a research course. Findings highlight Gemini's strengths and limitations in handling complex statistical tasks. This research contributes to a growing body of research on effectively integrating generative AI tools in academic and research environments.

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