Transform AI into your new teaching partner.
“AI for Learning”: Integrating Artificial Intelligence Into Your Teaching
$0
- Description
- Learning Objectives by Module
- Course assessments, activities, and outline
- Other course details
- System requirements
- Included instructor tools
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!
Learning Objectives by Module
Module 1: Welcome! Crafting Curriculum & Learning Objectives with AI
Learning Objectives:
- Recognize the fundamental principles of Generative AI (AI)
- Examine and debunk popular myths and misconceptions about AI to recognize its capabilities.
- Identify and describe real-world challenges where AI solutions could be effectively applied.
- Evaluate institutional and state-level AI policies to inform curriculum design, ensure student success and responsible AI use.
- Identify ethical challenges brought by AI, such as bias and privacy concerns, and propose strategies to mitigate these risks to promote responsible AI use.
- Define plagiarism and explore its differentiated definitions and applications within various disciplinary context of AI integration at the beginning of curriculum design.
- Develop a rubric that effectively evaluates the use of AI tools in alignment with course and learning objectives.
- Explain the Concept of Retrieval-Augmented Generation (RAG)
- Demonstrate Basic Prompt Engineering Skills
- Apply custom chatbots and prompt engineering to promote alignment, inclusivity, and overall effectiveness of Curriculum and Learning Objectives design.
- Evaluate a range of AI tools’ responses on curriculum and learning objectives, assessing their effectiveness in meeting the goal of the quality practices of instructional design.
- Evaluate a range of AI tools’ reponses, assessing their alignment and relevance in meeting the goal of the course, selecting and justify their choices based on anticipated impacts on student learning outcomes.
- Evaluate the accuracy, bias, and engagement of AI-generated curriculum and LOs, identifying strengths and limitations based on specified criteria.
Module 2: Designing AI-Enhanced Assessments & Activities with AI
Learning Objectives:
- Apply assessment design strategies for ensuring appropriate student use of AI.
- Recognize the potential of AI tools in enhancing assessment design.
- Explore concerns about AI-generated content in assessments, including plagiarism, bias, and reliability, and propose mitigation strategies.
- Utilize AI to create a refined, well-written letter centered a measurable learning assets that align with course goals and pedagogical intentions, ensuring coherence across the curriculum.
- Apply advanced prompt engineering, method tailoring, and zero verses few-shot.
- Apply advanced from engineering methods negative prompting, and conditional logic and meta.
- Redesign a specific assessment/activity integrity, AI literacy components to support student exploration as skill development.
- Apply rubrics for creating criteria with AI that are aligned with learning objectives that provide clearable criteria for student success.
- Create a costume chatbot with the rubric to review the AI generated content.
- Improving the chatbot’s output by redesigning a specific prompt was prompt engineering skills.
Module 3: Creating Instructional Content with AI
Learning Objectives:
- Educators will be able to use AI to design creative and fun course materials.
- Educators will be able to use AI to design for accessibility and inclusivity.
- Educators will be able to use AI to design adaptive and interactive learning materials.
- Create a Classroom Helper Chatbot.
- Create a Textbook Companion Chatbot (Socratic Tutor).
- Apply practical strategies using generative AI Tools.
- Final reflection board on building custom chatbots for student support.
- Use AI to design instructional content for accessibility and inclusivity.
- Evaluate the accessibility and inclusivity of AI-generated curriculum and LOs, identifying strengths and limitations based on specified criteria.
- Designing for your own course with AI.
Course assessments, activities, and outline
Module 1: Welcome! Crafting Curriculum & Learning Objectives with AI
- Section 1: Explore AI as Your Strategic Partner: Capabilities & Limitations
- Section 2: Responsible AI Integration & Application of AI Tools
- Section 3: Evaluating AI Tools: Ensuring Quality in Curricular Elements & Learning Objectives Design
Module 2: Designing AI-Enhanced Assessments & Activities with AI
- Section 1: Foundations of AI-Enhanced Assessment Design
- Section 2: Advanced Prompt Engineering for Education: Creating Custom AI Chatbots for Assessment
- Section 3: Think Again: AI as a Design Partner and Critic
Module 3: Creating Instructional Content with AI
- Section 1: Expanding Open-Licensed Course Materials with AI
- Section 2: Create a Classroom Helper Chatbot and a Textbook Companion Chatbot
- Section 3: Create and Evaluate a Full-Course with AI
Formative Assessments: In total, 126 Learn-by-Doing and Did-I-Get-This activities exist across nine learning sections.
Other course details
System requirements
OLI system requirements, regardless of course:
- internet access
- an operating system that supports the latest browser update
- the latest browser update (Chrome recommended; Firefox, Safari supported; Edge and Internet Explorer are NOT supported)
- pop-ups enabled
- cookies enabled
Some courses include exercises with exceptions to these requirements, such as technology that cannot be used on mobile devices.
Included instructor tools
Instructors who teach with OLI courses benefit from a suite of free tools, technologies, and pedagogical approaches. Together they equip teachers with insights into real-time student learning states; they provide more effective instruction in less time; and they’ve been proven to boost student success.
Editing or developing OLI courses
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The Learning Dashboard
Learning and participation data is displayed in the Learning Dashboard. Read more.
The Learning Engineering process
Learning Engineering is the virtuous cycle of iterative improvement of learning content, instructional technologies, and the greater scientific research community. Read more
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