Student Agency in AI-Assisted Learning: A Theoretical Framework
Analysis
This ArXiv paper provides a theoretical grounding for understanding student agency in AI-assisted learning environments. The grounded theory approach offers a valuable methodology for analyzing how students interact with and are empowered by AI tools.
Key Takeaways
- •Focuses on student agency, a critical aspect of effective AI-assisted learning.
- •Employs a grounded theory methodology, suggesting a rigorous approach to qualitative data analysis.
- •Provides a theoretical framework that can inform the design and implementation of AI-powered educational tools.
Reference
“The study utilizes a grounded theory approach to develop a theoretical framework.”