2024 Jeffrey Powell Mobile Learning Conference

As generative artificial intelligence (GenAI) increasingly permeates educational landscapes, understanding its impact on student outcomes through the lens of equity becomes essential. This presentation dives into the multifaceted realm of the impact of using AI in the learning environment, focusing on algorithmic bias, equity considerations, and the crucial interplay between intention and impact.

Key Themes:

Algorithmic Bias: Delve into the nuances of algorithmic bias within AI applications in education, exploring real-world examples and their implications for diverse student populations.

Equity as a Guiding Principle: Highlight the role of equity in designing, deploying, and assessing AI tools in educational settings. Discuss strategies for ensuring fair and inclusive AI practices.

Intention vs. Impact: Explore the critical connection between the intended use of AI in education and its actual impact on students. Discuss frameworks for aligning AI applications with educational goals.

Case Studies and Best Practices: Showcase case studies illustrating the successful integration of AI in classrooms while prioritizing equity. Provide actionable insights and best practices for educators and administrators.

Expected Outcomes:

Participants will gain a nuanced understanding of algorithmic bias in AI applications.
Participants will learn practical strategies for promoting equity in AI usage.
Participants will gain insights into aligning AI use with intended educational outcomes for a positive impact.

This presentation aims to empower educators at any level and AI enthusiasts with the knowledge and tools needed to navigate the complex intersection of AI, bias, and equity in the learning environment.