🧠 AI Ed Wiki

Synthesis: Tzirides, Galla, Cope & Kalantzis (2025) introduce the "Thinking Through AI" framework combining cognitive labs, think-aloud protocols, and cyber-social methods. A pilot with 30 students at a rural Alaska school showed how AI-enabled tools can enhance middle school writing instruction, with the framework positioning educators and learners as co-creators in AI tool design.

Three Core Dimensions

  • Student cognitive engagement: Fostering learning objectives while improving AI systems through interactive feedback.
  • Educator pedagogical strategies: Integrating rubrics and knowledge bases to design AI tools for student needs.
  • Concurrent design: AI tools and learning experiences informed by think-aloud and cognitive labs (Learning Experience Research).
  • Alaska Implementation

    A pilot with 30 students at a rural Alaska school using the CGScholar AI Helper demonstrated practical application for Writing Education in K 12 middle school contexts. The study addresses Cognitive Offloading concerns by designing for active cognitive engagement rather than passive AI reliance.

    Implications

    This framework connects to Collaborative Learning and positions AI Literacy as a co-design process, not just consumption. The think-aloud methodology aligns with Learnlab research on cognitive process analysis during AI-assisted learning.

    Connected Concepts

  • AI Education
  • Writing Education
  • K 12
  • AI Literacy
  • Cognitive Offloading
  • Collaborative Learning
  • Connected Articles

  • Agency Gap AI Writing
  • Cstutorbench Slm Tutors
  • Code Anchor Multi View Visualization
  • Citation

    Tzirides, A., Galla, M., Cope, B., & Kalantzis, M. (2025). Thinking Through AI: Advancing Cognitive and Collaborative Research for AI in Education. EdArXiv. doi:10.35542/osf.io/s8hqe_v1.