Designing Inclusive AI Learning Experiences: A UDL (Universal Design for Learning)–Guided Framework

• In Event: AERA Roundtable Session Wednesday 4:20 pm Four Seasons Ballroom 2-3
  In Roundtable Session: Technology-Driven Transformations in Teaching and Learning: Equity, Inclusion, and Identity (Table 5)

Abstract

As artificial intelligence (AI) becomes prevalent in our society, it is important to integrate AI-related content into the K-12 curriculum. However, a framework that guides the design of inclusive AI learning opportunities for all students is lacking. This paper proposes a framework to guide the design of inclusive AI learning rooted in Universal Design for Learning principles. We conducted a systematic literature review on AI learning-related frameworks. Then, we synthesized them to develop a novel framework, which features the core components of AI learning and is anchored by the three UDL principles (i.e., the “why,” “what,” and “how” of learning). We anticipate this study will support the design and implementation of inclusive AI learning experiences across the curriculum.

Authors

• Yukyeong Song, University of Tennessee

• Lauren Weisberg, University of Texas - Arlington

• Shan Zhang, University of Florida

• Maya Israel, University of Florida