By Brianna Hitt, Jessica Hauschild
Information
In the rapidly evolving field of statistics education, the integration of Artificial Intelligence (AI) and Large Language Models (LLMs) presents an unprecedented opportunity to enhance teaching methodologies, learning experiences, and assessment strategies. Our presentation delves into the multifaceted ways AI can be harnessed by students to foster a deeper understanding of complex statistical concepts and by instructors to streamline course design and evaluation processes. We explore the implementation of LLMs as interactive tools during class sessions, enabling students to clarify challenging topics and engage in meaningful, AI-mediated discourse. Additionally, we utilize LLMs in creating a dynamic assessment environment, from serving as impartial interviewers in oral-board style examinations to assisting educators in crafting rubrics and exam items tailored to course objectives. Our approach extends to leveraging LLMs to assist in grading student interactions and providing personalized feedback, guiding students toward greater comprehension and alignment with learning goals. Our presentation will share insights from our application of LLMs in an applied statistical modeling course for around 70 undergraduate majors in the mathematical sciences. We share examples of prompts and interactions with LLMs, as well as lessons learned and our plans to navigate challenges and improve future courses.