Towards Scalable AI Feedback Systems:Preparing A Turing-Test-Inspired Experiment

Generative AI (GenAI) is increasingly positioned as a transformative tool in education. This work explores how GenAI can enhance reflective practices to foster growth mindsets-an essential trait for resilience, motivation, and lifelong learning. Drawing on frameworks for process-oriented education and ongoing experimentation, we propose an approach leveraging prompt engineering and fine-tuning to create human-like, iterative feedback on student reflections. To evaluate this, a Turing-test-style experiment is designed to assess whether students can differentiate between AI- and human-generated feedback. By addressing challenges such as feedback scalability, ethical transparency, and student trust, we hope to find ways to design more adaptive, inclusive, and growth-focused educational ecosystems.