Beyond Productivity: Humanizing AI in Education

🎙️ In this episode of Women Talkin' 'Bout AI, host Kimberly Becker welcomes
Tricia Friedman, an all-around educational innovator who's been doing really future-forward and inclusive work in AI literacy and community building.

In this powerful conversation, international educator and neuroqueer futurist Tricia uncovers the profound potential of AI in education while maintaining authentic human connections.

Key Insights:
-The critical need for AI literacy in K-12 and higher education
-Reimagining learning assessment in the age of generative AI
-How technology can deepen human understanding and creativity
-Innovative approaches to integrating AI without losing human connection

📚 Content Discussed in This Episode:
0:00 - Introduction
5:30 - AI in Education
15:45 - Challenges in K-12 Learning
25:20 - Reimagining Assessment
35:10 - Personal AI Experiments
45:30 - Future of Technology and Learning

RESOURCES:
1. "The AI Mirror" by Shannon Valor
2."The New Breed" by Dr. Kate Darling
3. *Parker, J. L., Richard, V., & Becker, K. (2023). Flexibility & iteration: exploring the potential of large language models in developing and refining interview protocols. The Qualitative Report, 28(9), 2772-2791.

• This research explores the potential of large language models to iteratively develop and refine interview protocols, providing empirical evidence for their utility in qualitative research.

*Parker, J. L., Richard, V., & Becker, K. (2023). Guidelines for the integration of large language models in developing and refining interview protocols.
The Qualitative Report, 28(12), 3460-3474.

• This paper provides comprehensive guidelines for integrating large language models in the development and refinement of interview protocols, enhancing qualitative research methodologies.