AI-Enhanced Instructional Design

This unit develops practical skills for designing active, inquiry-driven, and inclusive lessons using AI tools. Learners will integrate Bloom’s Taxonomy, PBL strategies, differentiated instruction, formative and summative assessments, and remote/special-population supports to produce classroom-ready learning assets and lesson plans.

Learning Objectives

• Analyze AI-generated and AI-supported lesson examples to determine alignment with Bloom’s Taxonomy, active learning, and problem- and project-based learning principles for a specified grade band or content area
• Apply AI tools to design and produce three curricular artifacts—a differentiated lesson plan, a formative activity (e.g., worksheet or game), and a summative assessment (e.g., quiz or rubric)—that align to stated learning objectives
• Demonstrate the ability to create inclusive adaptations using AI for special education, ELL, and remote learners by producing at least two modified resources and documenting accommodation rationale
• Evaluate the effectiveness of AI-enhanced instructional strategies and assessment instruments by developing scoring rubrics, analyzing sample student work or simulated data, and recommending two evidence-based instructional revisions