Concurrent Session IV: 2:00 PM – 3:00 PM, ET (60 minutes)
- Workshop 10: AI Agents as Personalized Tutors
By Gigi Mohamad, William Paterson University of New Jersey
This session is a hands-on look at AI agents as personalized tutors employing strategies such as adaptive pacing, Socratic questioning, and scaffolded feedback. This session walks attendees through a live demo comparing a standard AI chatbot to two purpose-built tutoring agents, then opens a discussion on application.
Target Audience: All Educators
- Workshop 11: Practical and Ethical Uses of Artificial Intelligence in the Mathematics Classroom
By Michael Saffer, Fairleigh Dickinson University
This presentation explores how educators can leverage artificial intelligence to enhance mathematics instruction while promoting critical thinking, academic integrity, and equitable learning. Participants will discover practical AI tools, classroom-ready strategies, and ethical guidelines for integrating AI to improve student engagement, problem-solving, and achievement.
Target Audience: K-12 teachers and university-level professors in education programs
- Workshop 12: Learning Science Meets AI: Designing Learning Experiences That Foster Critical Thinking and Student Agency
By Sheila Tabanli, Rutgers University
The workshop showcases mathematics learning resources designed using the evidence-based 3C Pedagogical Model and the RR2PG Instructional Framework, grounded in cognitive science and Social Emotional Learning (SEL) principles. These frameworks, refined through multiple teaching fellowships and classroom-based practices, demonstrate how generative AI can be intentionally guided to produce student-centered resources that strengthen metacognition, mathematical reasoning, and self-regulated learning rather than simply generating answers.
Target Audience: Educators serving students in grades 7-12
