Designing Responsible GenAI Tools for Blended & Virtual Learning Environments
SESSION DATES & TIMES COMING IN AUGUST 2026
Audience Classification: Hybrid Learning Audience Expertise: All Levels - This session is intentionally designed to engage and provide value across experience levels-from beginners to seasoned leaders. Grade Level Focus: Adult Learners Does this session focus on a specific product? No – This session is focused on ideas, strategies, or practices, not a specific product or service.
Abstract Description : Generative AI is transforming digital learning—but how can we ensure it is equitable, ethical, and scalable? This interactive session bridges research and real-world applications, offering a hands-on exploration of deploying GenAI systems in K–12 digital learning environments. Drawing from work on large language models (LLMs), ethical AI frameworks, and scalable cloud architectures, the session will walk participants through real deployment challenges and design strategies for transparent and responsible GenAI integration. Topics include data privacy, bias mitigation, prompt governance, and scalable architecture for virtual and hybrid learning settings. Participants will engage in collaborative exercises to design AI-driven learning workflows tailored to their context—whether they are educators, technologists, or researchers. This session is ideal for anyone looking to move beyond theory and start building the next generation of trusted educational AI systems.
Learning Objectives:
Understand how to design and deploy scalable, ethical GenAI systems tailored for K–12 digital learning environments.
Gain hands-on strategies for applying responsible AI principles, such as transparency, fairness, and privacy in real-world educational applications.
