Hands-On Learning

Apply generative AI to real research tasks with guided prompts, use cases, and interactive activities.

Research-Focused Instruction

Learn from in-depth, interdisciplinary examples rooted in academic and applied research practice.

Flexible, Self-Paced Study

Work through structured lessons at your own pace, with tools to support your current research projects.

About the Course

This course on AI for Research Collaboration & Knowledge Management is designed to help researchers harness generative AI to support teamwork, idea development, and shared learning. Whether you’re coordinating across disciplines, refining research questions, or managing group notes and feedback, this course offers hands-on guidance and real-world examples. Gain the skills to use AI responsibly and effectively in collaborative settings—and strengthen your research through smarter, more connected workflows.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy, where he develops practical, responsible and future-focused approaches to digital learning and emerging technology. Drawing on over 20 years of experience in higher education, research and digital innovation, his work explores how technology can support learning, analysis and knowledge creation. His work spans generative and agentic AI, digital learning design, interactive learning systems, educational technology and open-source development. A particular focus is translating emerging technologies into practical tools, workflows and learning experiences while maintaining transparency, critical judgement and human oversight. Through CloudPedagogy, Jonathan develops courses, frameworks, demonstrations and open-source projects designed to help learners and professionals understand complex ideas, experiment with new technologies and apply them in meaningful real-world contexts.

Curriculum

8 Chapters · 71 Lessons

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview
    4. Download: Universal AI Practice Workbook Free preview

    1. 9.1.1 How AI Can Facilitate Collaboration and Idea Generation in Research Teams Free preview
    2. 9.1.2 Leveraging Generative AI for Brainstorming and Innovation in Team Settings Free preview
    3. 9.1.3 Using AI Tools to Enhance Communication and Knowledge Sharing in Research Groups Free preview
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      9.1.4 AI’s Role in Supporting Cross-Disciplinary Collaboration and Fostering New Insights

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      9.1.5 How AI Can Act as a Virtual Research Partner in Academic Projects

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      9.1.6 Key Takeaways

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      9.1.7 Knowledge Check

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      9.1.A Practical Use Cases

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      9.1.B Learning Activities

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      9.1.C Prompt Templates

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      9.1.D Innovative Use Cases

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      9.1.E Reflection & Discussion

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      9.1.F Productivity Tips

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      9.2.1 Collaborating with AI to Generate and Refine Research Questions in Team Settings

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      9.2.2 How AI Tools Can Help Generate Diverse Hypotheses Based on Team Discussions

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      9.2.3 Using AI for Dynamic Hypothesis Testing as a Group

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      9.2.4 Enhancing Team Discussions with AI-Driven Insights and Data-Driven Suggestions

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      9.2.5 AI’s Role in Supporting Consensus-Building in Research Teams

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      9.2.6 Key Takeaways

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      9.2.7 Knowledge Check

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      9.2.A Practical Use Cases

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      9.2.B Learning Activities

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      9.2.C Prompt Templates

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      9.2.D Innovative Use Cases

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      9.2.E Reflection & Discussion

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      9.2.F Productivity Tips

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      9.3.1 Using AI Tools to Organise and Categorise Research Notes, Data, and Ideas

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      9.3.2 Automating the Capture and Retrieval of Research Materials with Generative AI

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      9.3.3 How AI-Driven Knowledge Management Systems Can Improve Efficiency and Access to Research Content

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      9.3.4 AI Tools for Managing Collaborative Research Materials in Real-Time

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      9.3.5 Ensuring Data Security and Privacy When Using AI-Based Systems to Manage Research Ideas

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      9.3.6 Key Takeaways

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      9.3.7 Knowledge Check

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      9.3.A Practical Use Cases

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      9.3.B Learning Activities

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      9.3.C Prompt Templates

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      9.3.D Innovative Use Cases

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      9.3.E Reflection & Discussion

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      9.3.F Productivity Tips

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      9.4.1 AI Tools for Facilitating Cross-Disciplinary Research by Integrating Knowledge from Different Fields

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      9.4.2 Using Generative AI to Synthesise Information Across Multiple Disciplines

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      9.4.3 Enhancing Interdisciplinary Collaboration with AI-Driven Insights across Diverse Research Domains

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      9.4.4 The Role of Generative AI in Tackling Complex, Multi-Disciplinary Research Challenges

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      9.4.5 AI as a Tool for Building Bridges Between Academic Silos and Fostering Collaborative Research

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      9.4.6 Key Takeaways

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      9.4.7 Knowledge Check

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      9.4.A Practical Use Cases

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      9.4.B Learning Activities

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      9.4.C Prompt Templates

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      9.4.D Innovative Use Cases

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      9.4.E Reflection & Discussion

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      9.4.F Productivity Tips

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      9.5.1 Using Conversational AI to Support and Streamline Peer Review Processes

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      9.5.2 Enhancing the Quality and Efficiency of Feedback Through AI-Driven Systems

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      9.5.3 How AI Can Detect Biases and Errors in Peer-Reviewed Manuscripts

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      9.5.4 Using AI to Streamline the Peer Review Workflow and Manage Reviewer Comments

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      9.5.5 AI’s Role in Ensuring Fairness and Objectivity in the Peer Review Process

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      9.5.6 Key Takeaways

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      9.5.7 Knowledge Check

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      9.5.A Practical Use Cases

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      9.5.B Learning Activities

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      9.5.C Prompt Templates

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      9.5.D Innovative Use Cases

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      9.5.E Reflection & Discussion

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      9.5.F Productivity Tips

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      Course Complete: Share Your Feedback

    1. (Included in full purchase)

      End of Course Survey

Unlock Your Research 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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