*This is a cohort session. Following one morning session on Monday, July 13, this group will meet every afternoon to continue its exploration and learning as a cohort.*
AI models—such as Google Gemini, Perplexity, ChatGPT, Claude, etc. — offer teachers the opportunity to quickly review and research standard mathematics topics taught in high school and college courses. In this session, participants will have the opportunity to compare classical solution methods with AI-generated solutions, and in the process educators will gain a deeper understanding of the relative strengths of each of these approaches. The session will illustrate how AI resources can be useful as collaborative partners, offering inspiration for new methodologies, suggesting generalizations, and identifying similar problems to enrich the learning process.
*This is a cohort session. Following one morning session on Monday, July 13, this group will meet every afternoon to continue its exploration and learning.*
In the afternoon sessions participants will continue to examine various problems in applied mathematics and will explore how AI connects disparate mathematical concepts. By attempting challenging problems from various resources (e.g., the Mathematical Association of America, The Art of Problem Solving, and The American Mathematical Society), teachers will again apply a blend of traditional techniques and numerical tools to solve advanced problems; however, unlike the morning session these problems will include examples that current AI models often fail to thoroughly grasp. By discovering more of AI’s limitations, they will be reminded of the value of primary source materials, such as time-tested, multi-edition textbooks. These examples will reinforce the necessity of human oversight and boost professional confidence in identifying "hallucinations" or errors. Additionally, teachers will also be encouraged to research and solve relevant problems of interest to them and their particular course w
Mathematics Instructor, A.I. Faculty Fellow, SC Governor's School for Science and Mathematics
Dr. Stephen Kaczkowski serves as the Mathematics Department Chair and instructor at the South Carolina Governor’s School for Science and Mathematics (SC GSSM). He earned his Ph.D. in mathematics from Rensselaer Polytechnic Institute and has had the opportunity to teach a wide range... Read More →
*This is a cohort session. Following one morning session on Monday, July 13, this group will meet every afternoon to continue its exploration and learning.*
In the afternoon sessions participants will continue to examine various problems in applied mathematics and will explore how AI connects disparate mathematical concepts. By attempting challenging problems from various resources (e.g., the Mathematical Association of America, The Art of Problem Solving, and The American Mathematical Society), teachers will again apply a blend of traditional techniques and numerical tools to solve advanced problems; however, unlike the morning session these problems will include examples that current AI models often fail to thoroughly grasp. By discovering more of AI’s limitations, they will be reminded of the value of primary source materials, such as time-tested, multi-edition textbooks. These examples will reinforce the necessity of human oversight and boost professional confidence in identifying "hallucinations" or errors. Additionally, teachers will also be encouraged to research and solve relevant problems of interest to them and their particular course w
Mathematics Instructor, A.I. Faculty Fellow, SC Governor's School for Science and Mathematics
Dr. Stephen Kaczkowski serves as the Mathematics Department Chair and instructor at the South Carolina Governor’s School for Science and Mathematics (SC GSSM). He earned his Ph.D. in mathematics from Rensselaer Polytechnic Institute and has had the opportunity to teach a wide range... Read More →
