AI For Learning

“AI for Learning”: Integrating Artificial Intelligence Into Your Teaching description

AI for Learning covers the full design loop of integrating Artificial Intelligence into your teaching and higher‑education classrooms, from foundational concepts to real‑world application.

 

This self‑paced, asynchronous course combines formative assessments with high scaffolding and end‑of‑module quizzes to guide you through each topic. Content is presented in a logical flow that transitions smoothly between concise expository text, worked examples, hands‑on activities, interactives, and multimedia. Scaffolded exercises walk you step‑by‑step through complex tasks—like building and refining custom chatbots—before moving to less‑guided practice, with immediate, detailed feedback and hints provided throughout.

 

The course also includes many engaging and interactive elements such as:

 

  • Instructor‑led walkthroughs demonstrating prompt‑engineering techniques and AI tool integration in real classroom scenarios
  • Case studies and simulations that let you evaluate AI‑generated responses against clear criteria for accuracy, relevance, and ethical considerations
  • Reflection exercises and peer‑review activities that deepen your critical understanding of AI’s capabilities, limitations, and privacy implications

Substantial value is added through a coherent learning experience tagged against a comprehensive set of learning objectives tied to a scaffolded knowledge model.

“AI for Learning” was developed through the AI 4 Learning Network (AI4LN), a partnership of Carnegie Mellon University’s Open Learning Initiative and College of the Canyons, generously supported by Axim Collaborative, which engaged the California Community Colleges, SUNY OER Services, and the United Negro College Fund for the project.  The AI4LN created the course with over 75 faculty from diverse institutions, who co-designed, tested, and improved the course materials, ensuring their relevance and practicality. We invite you to join the course and integrate AI into your teaching!

 

 

These materials are available as an OLI course.

  • Open Learning Initiative (OLI) courses are designed by learning scientists at Carnegie Mellon University. They use data and research insights to develop, test, and improve OER course materials that effectively support learning.

This course is available at no cost to SUNY students.

Why Teach with Open Course Materials?