Tuesday, Aug 5: 2:00 PM - 3:50 PM
0442
Invited Paper Session
Music City Center
Room: CC-Davidson Ballroom A1
Applied
Yes
Main Sponsor
Section on Statistics and Data Science Education
Co Sponsors
American Educational Research Association
Business Analytics/Statistics Education Interest Group
Presentations
AI has already starting reshaping our teaching by changing how we approach content, delivery, and assessment. With the rapidity by which AI is "learning" who knows what the impact will be by the time I give this talk? This semester I will no longer be giving take home exams and am contemplating giving an oral midterm or final. And that's only the tip of the iceberg of the changes that I anticipate. This talk will highlight some of these changes in teaching that I and others at Williams have implemented as we attempt to navigate this new world and I hope to generate a conversation about where we are headed.
Keywords
Artificial Intelligence (AI)
Educational Technology
Assessment Methods
Pedagogical Innovation
Future of Education
Teaching Strategies
How do we make choices when faced with a health crisis? Or a natural disaster? AI is being developed and deployed in technology to help us navigate a new route, summarize large collections of documents, or protect our devices using face recognition, but the gap between autonomous decision-making and human decision-making still exists. Moreover, people make decisions under uncertain, dynamic, and resource-constrained circumstances and often incorporate concerns about risk, equity and trust. All concepts grounded in foundational statistics, making our educational programs more important than ever. In this talk, we'll look at the education efforts of the NSF AI Institute for Societal Decision Making (centrally housed at Carnegie Mellon University) to train the public - including K-12, community college, undergraduates, graduate students, and the workforce - to use both AI and statistics as well as understand their potential to positively impact society.
Keywords
Artificial Intelligence (AI)
Statistical Education
AI Ethics
Workforce Training
In this case study, we explore the transformative role of generative AI in enhancing student-centered learning within the College of Natural Sciences and Mathematics at California State University, Fullerton. Through an innovative project, students from diverse majors, including Mathematics and Statistics, were trained to design AI-based educational activities that address gaps in traditional teaching methods. These activities were implemented and tested in collaboration with faculty, with results showing significant improvements in student engagement, understanding, and satisfaction. This presentation highlights the potential of AI to close equity gaps, increase retention rates, and prepare students for success in a technology-driven world.
Keywords
Generative AI
Educational Innovation
Student-Centered Learning
Equity in Education
Interdisciplinary Collaboration
AI, large language models, and deep learning are changing the way we all work. Many changes are macro-level changes, effecting the world or at least economic or employment sectors. But others are quite specific. In the statistics curriculum, we need to adapt to new modes of instruction, new types of problem sets, and new data analytics. This talk lists some of the changes in my classroom, and tries to look over the horizon to further changes.
Keywords
Artificial Intelligence (AI)
Statistics Education
Educational Trends
Curriculum Development