AI for Learning Prompts

Helps craft clear, measurable learning objectives using Bloom's Taxonomy through a three-phase collaborative workflow.

Creates effective discussion board prompts to foster higher-order thinking in online environments using six evidence-based strategies.

Organizes course content into modules aligned with course learning objectives using the Understanding by Design framework.

Creates clear, concise assignment descriptions using the Transparency in Learning and Teaching (TILT) framework.

Generates performance-task ideas aligned with learning objectives using the GRASPS framework.

Develops lesson plans based on Merrill's Principles of Instruction, aligned with learning objectives.

Creates clear, detailed rubrics with specific criteria and performance-level descriptors.

Drafts agency-oriented, student-centered syllabus language aligned with accessibility and equity best practices.

Guides students through dynamic scholarly dialogue simulating expert feedback and critical inquiry.

Creates scenarios and exam-format questions based on client-based software development issues, covering requirements engineering and design.

A paired set of two-phase clinical training tools where psychology students practice OARS techniques with simulated clients — one resistant (sustain talk) and one cooperative (change talk) — then receive structured feedback on their technique.

Simulates focus-group feedback evaluating how diverse learners approach course assignments.

Provides structured qualitative trend analysis for student course evaluation data.

Generates pediatric critical-care scenarios for clinicians practicing clinical management skills.