Scaffolding Student Self-Regulated Learning with Large Language Models

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Seed Project (Unfunded)Unfunded2025–2026SeedActiveOpen for Students

Use LLMs and self-regulated learning (SRL) theory to build a full-stack web app that scaffolds students across forethought, performance, and self-reflection phases (e.g., goal-setting, planning, monitoring, reflection).

Objectives

  • Design SRL-guided workflows (goal-setting, planning, monitoring, reflection) powered by LLMs
  • Implement a privacy-aware prototype full-stack web app (e.g., Next.js/Node) that logs interactions for research with consent
  • Evaluate usability and learning outcomes in pilot studies; iterate on prompts and UX
  • Document prompts, safety policies, and release reproducible artifacts