Informal Learning in the AI Era: Challenges and Opportunities

• In Event: Confronting Complex Educational Challenges in Instructional Design and Technology Research and Practice

Abstract

Lauren's extensive practical experience in instructional design and technology (IDT) across both K-12 and higher education contexts gives her a deep understanding of the challenges and opportunities within educational settings. Her roles as an educator, administrator, instructional designer, and evaluator have exposed her to the importance of informal learning skills in enhancing learning outcomes, fostering creativity and innovation, and preparing individuals for lifelong learning.

Given her background, Lauren recognizes the significance of teaching and cultivating informal learning skills. Her firsthand experience has shown how these skills can empower learners to take ownership of their learning journey, adapt to evolving educational landscapes, and thrive in their personal and professional lives. Her perspective on the need for informal learning skills is informed by practical insights from years of working directly in educational contexts.

Lauren’s current research focuses on how adolescents and adults use online tools and spaces for informal learning. While much of her research centers on social media, she is now exploring the affordances and barriers of AI for informal learning.

AI holds great promise for informal learning by offering personalized, adaptive, and interactive experiences tailored to individual learners. AI-powered systems provide personalized content recommendations and adaptive learning pathways that adjust in real-time based on learners' progress and needs. These advancements enhance the effectiveness of informal learning by promoting deeper engagement and relevance to learners' interests and skill levels.

However, integrating AI into informal learning presents challenges. Ensuring the quality and reliability of AI-curated content remains a concern, as algorithms must be rigorously trained and monitored to avoid biases and inaccuracies. As reliance on digital platforms and AI-driven systems grows, so does the importance of developing digital and information literacy competencies. By equipping learners with these competencies, we can promote informed decision-making, enhance technological proficiency, and prepare individuals to responsibly navigate and shape the future of AI-driven innovation.

Author

• Lauren Bagdy, University of Georgia