Overview
You know great curriculum design takes weeks of work—now learn to do it in days without sacrificing quality. This two-day course shows educators, trainers, and instructional designers how to use AI as a collaborative partner in curriculum development, from initial concept to polished, ready-to-teach materials.
You’ll master techniques for generating learning objectives aligned to standards, creating differentiated activities and assessments, developing scaffolded lesson sequences, and producing supplementary materials. Whether you’re designing a semester-long course, building corporate training modules, or refreshing existing curriculum, this course gives you practical skills to accelerate your work while maintaining pedagogical integrity and your unique teaching approach.
Format: 2 Days | VILT
Who Should Attend
- K-12 teachers developing new units or refreshing existing curriculum
- Higher education faculty designing courses or updating syllabi
- Instructional designers and curriculum specialists
- Corporate trainers and professional development coordinators
- Independent educators and course creators
What You’ll Learn
- Design complete course structures from concept to finished materials using AI collaboration
- Generate standards-aligned learning objectives and aligned assessments efficiently
- Create differentiated activities, scaffolds, and support materials for diverse learners
- Develop formative and summative assessments with rubrics and success criteria
- Produce supplementary resources: handouts, examples, case studies, and practice materials
- Maintain pedagogical quality and your teaching voice while leveraging AI assistance
Course Outline
Module 1: AI-Assisted Curriculum Design Fundamentals
- Understanding AI’s role in curriculum development: co-author, not replacement
- Choosing the right AI tool for different curriculum tasks
- The curriculum design workflow: where AI adds the most value
- Backwards design principles: starting with outcomes and working backward
- Maintaining academic integrity and pedagogical soundness
- Privacy considerations: what to share and what to keep confidential
Module 2: Learning Objectives and Course Architecture
- Generating standards-aligned learning objectives (Bloom’s Taxonomy, Webb’s DOK)
- Creating course outlines and unit structures with logical progression
- Developing essential questions and enduring understandings
- Mapping prerequisite knowledge and skill progressions
- Aligning objectives across units and ensuring coherent scope and sequence
- Customizing objectives for different grade levels or learner populations
Module 3: Lesson Planning and Activity Design
- Creating detailed lesson plans with timing, materials, and procedures
- Generating engaging opening hooks and anticipatory sets
- Designing active learning activities and student-centered experiences
- Developing think-pair-share, jigsaw, and collaborative learning structures
- Creating real-world applications and authentic learning tasks
- Building in formative assessment checkpoints throughout lessons
Module 4: Differentiation and Inclusive Design
- Creating tiered activities for different readiness levels
- Generating scaffolds, graphic organizers, and support materials
- Designing choice boards and flexible learning pathways
- Adapting materials for English language learners and special needs
- Creating extension activities for advanced learners
- Universal Design for Learning (UDL): multiple means of representation, action, and engagement
Module 5: Assessment Design and Rubric Development
- Creating formative assessments: exit tickets, quick checks, and progress monitoring
- Designing summative assessments aligned to learning objectives
- Developing performance tasks and authentic assessments
- Generating rubrics with clear criteria and performance levels
- Creating answer keys, scoring guides, and grading efficiency tools
- Designing self-assessment and peer assessment protocols
Module 6: Content Development and Resource Creation
- Writing clear explanations and content presentations
- Creating examples, non-examples, and case studies
- Generating practice problems with varying difficulty levels
- Developing reading passages, scenarios, and contextual materials
- Creating vocabulary lists, study guides, and reference materials
- Adapting existing resources for different contexts or audiences
Module 7: Quality Control and Professional Implementation
- Evaluating AI-generated content for accuracy and pedagogical soundness
- Fact-checking subject matter and verifying information quality
- Maintaining your teaching voice and pedagogical philosophy
- Building reusable prompt templates for recurring curriculum tasks
- Collaborating with colleagues: sharing AI strategies and resources
- Staying current with AI capabilities while managing workload sustainably
Prerequisites & Technical Requirements
- Teaching or instructional design experience in your subject area
- Basic familiarity with at least one AI assistant (ChatGPT, Claude, or similar)
- Understanding of learning objectives, assessments, and lesson planning
- No technical or coding background required
Customization Options
This course can be tailored to your educational context—K-12 classroom teachers, higher education faculty, corporate training and professional development, or specialized contexts like healthcare education, technical training, or language instruction. We can focus on specific subject areas, grade levels, or curriculum frameworks (Common Core, NGSS, IB, etc.) and work with your actual curriculum development projects for immediately applicable results.