I’m a Master’s student at PUC-SP (TIDD, CAPES scholar) researching AI, ethics, and inclusive education in Brazil. I need a rigorous way to evaluate GenAI-supported learning activities considering learning outcomes + accessibility. I’m comparing usability/workload scales (e.g., SUS, NASA-TLX) with education-specific/cognitive-load instruments and accessibility checklists (e.g., WCAG-based). What I’m looking for: • Validated frameworks or mixed-method designs you’ve used • Instruments for accessibility-by-default in EdTech • Example papers, codebooks, or protocols suitable for university courses
This framework focuses on three core components: cognitive presence, social presence, and educational presence. By assessing how generative AI tools facilitate critical thinking, foster student collaboration, and improve learning support, the Community of Inquiry Framework provides a comprehensive understanding of their effectiveness. Additionally, the framework addresses accessibility issues by assessing how these tools can be adapted to diverse learning needs, ensuring that all students benefit from this technology. Thus, the Community of Inquiry Framework offers a comprehensive approach to evaluating the integration of generative AI into educational settings.
- Badges
- Science topic
- Similar topics
- Filing