Generative AI is not just a tool—it’s a collaborator in the learning process. One compelling example is the use of AI writing assistants like Copilot or ChatGPT in classrooms. These tools help students brainstorm ideas, refine grammar, and structure essays, acting as real-time writing coaches. Instead of replacing human instruction, they augment it—freeing up time for teachers to focus on critical thinking, creativity, and mentorship.

This shift aligns with Cope and Kalantzis’ concept of cyber-social learning, where meaning is co-constructed across human and machine interactions. In their paper On Cyber-Social Learning: A Critique of Artificial Intelligence in Education (2023), they argue that AI challenges traditional teacher-student hierarchies and invites a more participatory, dialogic model of education.

Generative AI also transforms the nature of learning by making it more iterative and personalized. Students can test ideas, receive instant feedback, and revise in real time—developing metacognitive skills and agency. Teachers, meanwhile, become facilitators of inquiry rather than gatekeepers of content.

References
• Cope, B., & Kalantzis, M. (2023). On Cyber-Social Learning: A Critique of Artificial Intelligence in Education. In Trust and Inclusion in AI-Mediated Education. Springer Link
• Cope, B., & Kalantzis, M. (2023). On Cyber-Social Meaning: The Clause, Revised. International Journal of Communication and Linguistic Studies, 21(2), 1–18. DOI

I really appreciated the earlier point about AI enabling more inclusive learning. That’s so important. Generative AI can support multilingual learners, neurodiverse students, and those who struggle with traditional formats—making education more equitable and empowering.

Would love to hear how others are using generative AI in their own learning or teaching spaces. What’s working? What’s challenging?