CSU Faculty Center for Teaching and Learning
About the Event
Join educators, researchers, instructional designers, student support professionals, and innovators as we explore how artificial intelligence is transforming the future of teaching, learning, and academic excellence. This groundbreaking conference will showcase forward-thinking practices, real-world applications, and collaborative discussions that bridge intellect with innovation. We invite proposals that demonstrate thoughtful use of AI to enhance the teaching and learning experience, strengthen student success, and support ethical, human-centered academic environments.
Call for Proposals
Opens on December 1, 2025, and closes on January 31, 2026.
Registration
Begins on January 5, 2026, and closes on March 1, 2026
Conference Format and Session Length
Online in Zoom. Each session should be 45 minutes in length (Including Q&A).
Presentation Topics
Teaching and Learning in the Age of AI
Explores how artificial intelligence is reshaping the learning environment, from instructional design and content creation to assessment and student engagement. This topic focuses on building human + AI teaching partnerships that enhance personalization, feedback, and learning effectiveness while maintaining the instructor’s essential role in guidance, presence, and relational teaching.
Student Success, Belonging, and Learning Analytics
Examines how AI-powered insights and conversational tools can proactively support student well-being, retention, and academic momentum. This topic highlights predictive analytics, early alerts, advising chatbots, personalized pathways, and student voice systems that help institutions understand learners more deeply and respond with timely, human-centered intervention, especially for nontraditional and adult students.
Course and Curriculum Design
Focuses on integrating AI into instructional design workflows and academic programs to support scalable personalization and future-ready learning. This includes co-authoring course materials with AI, embedding AI literacy across disciplines, developing modular and adaptive learning pathways, and ensuring graduates are prepared to thrive in an AI-augmented workforce.
Leadership, Strategy, and Institutional Innovation
Addresses how institutions can plan and lead meaningful AI transformation. This topic emphasizes AI integration roadmaps, faculty development, workflow efficiency, policy and governance structures, and strategic decision-making that align AI adoption with mission, academic quality, and equitable student impact across the university.
Ethics, Responsibility, and The Human Future of Education
Engages with the moral and philosophical dimensions of AI in academia. This topic examines algorithmic bias, transparency, data privacy, ethical use guidelines, and the evolving identity of faculty and learners in an increasingly automated world—while prioritizing human connection, compassion, and educational purpose as foundational to any AI practice.