Modules

Generative AI in Learning: Tools & Integrity

This e-learning course empowers higher education learners to harness the potential of generative AI tools like ChatGPT, Google Gemini, Microsoft Copilot, DeepSeek, and NotebookLM for academic success. Through interactive activities and real-world applications, students will learn to conduct literature searches, generate draft texts, organise research materials, and collaborate effectively using AI. The course emphasises ethical considerations, including academic integrity, bias awareness, and data privacy, ensuring responsible AI usage. By the end, participants will be equipped to integrate AI tools into their academic workflows while upholding the highest standards of ethics and critical thinking.

[Access Module] AI Learning

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AI-Powered Learning Modules

Unlock the Power of Generative AI for Research, Education, Healthcare, and Business!

📌 Designed, Developed, Deployed, and Delivered by Vaikunthan Rajaratnam

The GenAI Learning Hub offers a collection of self-paced, interactive learning modules designed to help professionals, educators, researchers, and business leaders integrate Generative AI into their work effectively.

These modules are structured, practical, and freely accessible, making it easier for anyone to develop AI literacy and apply AI tools in their respective fields.

How to Use These Modules

Browse through the available courses and select the ones relevant to your needs.
✅ Click on the module link to access interactive learning materials, case studies, and exercises.
✅ Learn at your own pace—all content is designed for flexible, self-directed learning.
✅ Apply AI tools through real-world examples and hands-on activities.

💡 No prior AI experience required! These modules cater to both beginners and experienced professionals.

AI in Research & Writing

(AI-RE & AI-AW)

What You'll Learn:

AI-assisted academic writing, literature reviews, and citation management
Using AI-powered tools for summarisation, data analysis, and hypothesis generation
Improving manuscript preparation and research paper structuring

🔗 [Access Module] AIRE: AI RE

AI for Learning Design (AI-LD)

What You'll Learn:

Designing AI-enhanced curricula for personalised, engaging learning
Using AI for automating lesson planning and generating educational content
Applying Universal Design for Learning (UDL) principles with AI

🔗 [Access Module]

AI for Healthcare Professionals (AI-HP)

What You'll Learn:

AI applications in clinical decision-making, diagnostics, and patient care
AI-powered medical research and healthcare innovation
Ethical AI use in healthcare and patient data management

🔗 [Access Module] (Link to AI-HP Module)

AI for Business Productivity (AI-LEAP)

What You'll Learn:

AI-driven automation, data analysis, and decision-making in business
Improving workflow efficiency and strategic planning with AI
Leveraging AI for customer engagement and market research

🔗 [Access Module] (Link to AI-LEAP Module)

AI-RE Qualitative: AI-Powered Research for Qualitative Studies

Enhancing Qualitative Research with AI-Powered Insights

📌 Designed, Developed, Deployed, and Delivered by Vaikunthan Rajaratnam

📖 What You'll Learn:

AI-assisted qualitative data analysis, including thematic coding and sentiment analysis
AI-powered literature reviews for research synthesis and knowledge discovery
Ethical AI use in qualitative research, addressing bias and data privacy concerns

🔗 [Access Module] (Link to AI-RE Qualitative Module)

AI for Academic Writing (AI-AW)

📝 Enhancing Academic Writing with AI-Powered Assistance

📌 Designed, Developed, Deployed, and Delivered by Vaikunthan Rajaratnam

📖 What You'll Learn:

AI-assisted literature reviews for efficient research synthesis and citation management
AI-powered writing tools to improve clarity, structure, and academic style
Ethical AI use in academic writing, ensuring originality and integrity

🔗 [Access Module] (Link to AI-AW Module)

AI for Instructional Design (AI-ID)

🎓 Transforming Learning Design with AI-Powered Innovation

📌 Designed, Developed, Deployed, and Delivered by Vaikunthan Rajaratnam

📖 What You'll Learn:

AI-driven course development for personalised and adaptive learning experiences
Automating lesson planning and content creation using AI tools
Applying Universal Design for Learning (UDL) principles with AI for inclusive education

🔗 [Access Module] (Link to AI-ID Module)

AI for Learning Design (AI-LD)

Revolutionising Learning Design with AI-Powered Solutions

📌 Designed, Developed, Deployed, and Delivered by Vaikunthan Rajaratnam

📖 What You'll Learn:

AI-assisted curriculum design for personalised and adaptive learning experiences
Automating lesson planning and content generation to enhance instructional efficiency
Integrating Universal Design for Learning (UDL) principles with AI for inclusive education

🔗 [Access Module] (Link to AI-LD Module)

AI for Data Analysis (AI-DA)

📊 Unlocking Insights with AI-Powered Data Analytics

📌 Designed, Developed, Deployed, and Delivered by Vaikunthan Rajaratnam

📖 What You'll Learn:

AI-driven data processing and pattern recognition for enhanced decision-making
Automating data visualisation and statistical analysis to streamline workflows
Ethical AI use in data analysis, ensuring accuracy, transparency, and bias mitigation

🔗 [Access Module] (Link to AI-DA Module)

Generative AI in Learning: Tools & Integrity

This module equips educators, students, and lifelong learners with the skills to use Generative AI responsibly and effectively in education. As AI tools like ChatGPT, Gemini, Copilot, DeepSeek, and NotebookLM become increasingly integrated into learning environments, this module provides a clear framework for harnessing their potential while upholding academic integrity and ethical standards.

Learners will explore practical applications of generative AI for study support, critical thinking, and content creation. Through interactive activities and case-based scenarios, the module highlights both opportunities and risks, including issues of plagiarism, misinformation, bias, and over-reliance.

By the end of this module, participants will be able to:

Identify and compare key generative AI tools for educational use
Apply AI to enhance learning, research, and productivity.
Develop ethical guidelines for AI use in academic settings.
Promote integrity and transparency in AI-assisted learning.

This module is ideal for higher education students, educators, and curriculum designers seeking to integrate AI thoughtfully into their learning or teaching practices.

Access the Module Home: Gen AI for Learning

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