
Explore the current state of AI in education, examine adoption data, identify the three most common myths educators believe about AI, and complete your Starting AI Audit to establish your personal baseline before the course begins.
Apply the Baldwin and Ford transfer model to evaluate your current AI activities, identify whether students or AI are doing the cognitive work, and redesign lessons using the Generate Before You Receive principle for deeper learning transfer.
Apply Bandura's four sources of self-efficacy to redesign AI prompts that build genuine student confidence and use the Gradual Release framework to reduce AI dependency in your classroom.
Build a three-level metacognitive prompt library, design think-aloud protocols for AI interactions, and develop activities to deepen students' self-awareness and critical-thinking skills.
Audit AI tools across four bias categories: linguistic, representation, feedback, and access, and apply research-grounded adaptations for diverse, multilingual, and marginalized learners.
Evaluate 12 educator AI tools using the five-question framework covering transparency, pedagogical soundness, equity, data privacy, and learning outcome alignment for your specific context.
Draft your own AI use policy using three customizable templates for K-12, higher education, and corporate training, and learn how to communicate your reasoning to students and stakeholders.
Use three research-grounded measurement strategies to gather real evidence about whether your AI-enhanced instruction is producing the learning outcomes you designed it for.
AI is everywhere in education, but most educators have no idea which tools actually help students learn, which ones create dependency, and how to use any of them without compromising academic integrity.
AI Tools for Educators is a practical, research-informed course built for educators, not tech experts. Across 8 modules and 34 lessons, you will gain the knowledge and confidence to integrate AI in ways that enhance student learning, not replace the good teaching you already do.
What you will learn:
How to evaluate any AI tool using a five-question research-based framework
How to design AI-supported activities that keep students doing the cognitive work
How to apply Bandura's self-efficacy principles to build student confidence with AI
How to audit AI tools for equity bias across four categories
How to write a classroom AI policy for K-12, higher education, or corporate training
How to measure whether your AI instruction is actually producing learning outcomes
This course includes 14 downloadable resources, including templates, checklists, guides, and certificates, that you can use immediately in your classroom or training environment.
Every lesson is grounded in peer-reviewed research. No opinions. No trends. Just evidence-based strategies you can apply the same day you learn them.
Whether you teach kindergarten or corporate training, this course meets you where you are and gives you exactly what you need to teach smarter with AI."