Practical Design Projects

Apply your learning through authentic course design activities, AI-supported workflows, and a capstone project focused on creating or redesigning a digital learning environment.

Evidence-Informed Design

Develop the skills to make informed decisions about learning activities, assessment, accessibility, AI integration, and course quality.

Flexible, Self-Paced Learning

Study at your own pace through structured online lessons, practical examples, and reusable design templates that support your professional development.

About the Course

Designing AI-Enhanced Digital Learning Environments equips educators, learning designers, and digital education professionals with the knowledge and practical capabilities to create effective, accessible, and engaging online learning experiences. Explore how to plan coherent course structures, design meaningful learning activities, integrate assessment and feedback, and support diverse learner needs. Learn to use generative AI purposefully throughout the design process, from developing educational resources and exploring design alternatives to reviewing course quality and identifying opportunities for improvement. The course also examines responsible AI integration, learning analytics, quality assurance, and evidence-informed decision-making, helping you balance technological possibilities with sound pedagogical judgement. Through practical activities, reusable templates, and a capstone design project, you will develop a coherent approach to designing, evaluating, and continuously improving digital learning environments across Moodle and other learning management systems. By the end of the course, you will be better equipped to make confident, informed design decisions and use AI to enhance both your professional practice and the learning experiences you create.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy and a digital education specialist with over 20 years of experience across higher education, research and digital innovation. His work focuses on turning emerging technologies into practical approaches to learning, analysis and knowledge creation. Through CloudPedagogy, he develops courses, open-source tools, interactive learning systems and applied projects exploring areas including generative and agentic AI, educational technology and digital learning design. His approach emphasises practical experimentation, transparency, critical judgement and responsible use of technology. CloudPedagogy is built around learning by understanding, building and applying: making complex ideas accessible while creating practical tools and workflows that demonstrate how they can be used in real-world contexts.

Curriculum

11 Chapters · 37 Lessons

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview

    1. 1.1 Understanding Digital Learning Environments as Educational Systems Free preview
    2. 1.2 The Role of Generative AI in Digital Learning Design Free preview
    3. 1.3 Identifying Opportunities for AI-Supported Design and Improvement Free preview
    4. 1.4 Human–AI Co-Agency, Professional Judgement and Design Responsibility Free preview

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      2.1 Planning Effective Digital Course Architectures

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      2.2 Aligning Learning Outcomes, Activities and Assessment

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      2.3 Designing Flexible Learning Pathways and Progression

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      2.4 Improving Navigation, Usability and Learner Experience

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      3.1 AI-Assisted Authoring and Transformation of Learning Content

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      3.2 Designing Effective Digital Pages, Learning Units and Resources

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      3.3 Developing Multimedia and Interactive Learning Materials

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      3.4 Improving Content Clarity, Consistency and Reusability

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      4.1 Creating Purposeful Online Discussion and Collaboration

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      4.2 Developing AI-Supported Formative Assessment and Knowledge Checks

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      4.3 Designing Feedback, Reflection and Learner Support

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      4.4 Integrating Activities into Meaningful Learning Sequences

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      5.1 Designing Accessible Digital Learning Experiences

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      5.2 Supporting Cognitive Diversity and Flexible Participation

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      5.3 Evaluating AI-Generated Content and Academic Integrity Risks

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      5.4 Privacy, Transparency, Equity and Responsible Design Decisions

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      6.1 Evaluating Digital Course Quality and Educational Effectiveness

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      6.2 AI-Supported Course Auditing and Quality Improvement

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      6.3 Making Decisions About Automation, Oversight and Governance

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      6.4 Managing Documentation, Versioning and Course Changes

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      7.1 Understanding Learning Data and Its Interpretive Limits

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      7.2 Using AI to Explore Engagement and Progression Patterns

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      7.3 Evaluating Learning Experiences and Prioritising Improvements

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      7.4 Reflective Practice and Professional Capability Development

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      8.1 Capstone Project: Designing or Redesigning a Digital Learning Environment

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      8.2 Project Workflow, Deliverables and Evaluation Criteria

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      8.3 Reusable Course Design Templates and Quality Checklists

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      Prompt Library for AI-Enhanced Digital Learning Design

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      Course Complete: Share Your Feedback

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      End of Course Survey

Unlock Your Genai Potential

Join our course today and unlock the full potential of Generative AI in your research projects. Empower yourself with the knowledge and skills to drive innovation and make a significant impact in your field.

£49.00

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