November - AI Suite

  • October 2026 - AI for Student Self-Assessment

    Exploration Doc

    The goal of this student-facing Exploration is to transform student use of LLMs into a rigorous, personalized tool for self assessment before a major assessment. By inputting their own course materials, students can generate customized, low-stakes practice exams that mimic classroom rigor while receiving feedback on their underlying learning patterns. This shifts the AI away from a shortcut for cheating and repositions it as an engine for self-assessment, confidence, and metacognition.

  • September 2026 - AI for Instructional Design

    Exploration Doc

    One of the biggest concerns we hear from teachers about AI lesson design is that the outputs are often boring and uninspiring. It usually takes quite a few questions and responses before you get something unique and engaging. As such, we designed this two-part Exploration for you to first provide context about your teaching style and your classroom before you ask for unit plans, materials, activities, and assessments.