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AI Hub - Student Academic Success (Monash Malaysia)

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Monash University Malaysia

Last checked: 25 Oct 2026 UTC

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AI Hub

AI is reshaping how we learn, work and address challenges. Explore learning opportunities to help build AI literacy and develop practical skills for an AI-enabled future. Learn how to use AI responsibly, effectively and ethically in your studies and beyond.

Introduction to AI Discover how AI and large language models work and explore top tips for using AI effectively in your studies.

Responsible and ethical use of AI Learn how to engage with AI ethically. Understand appropriate AI use, protect your data, and maintain academic integrity at Monash.

Acknowledging the use of AI Understand how to acknowledge the use of AI in your assessments. Learn what to include in an acknowledgement, how to document your process, and when a citation is also needed.

AI and assessments Understand the rules for using AI. Learn when you can and can't use AI in your assessments.

Creating effective prompts Create clear and detailed prompts to get the best responses from AI. Learn the PARTS approach and how to refine your requests.

Writing with AI Discover how to integrate AI into your writing process. Learn to brainstorm, plan, and refine your drafts while maintaining your unique voice.

Using AI to make summaries Use AI to quickly summarise readings and lectures. Learn to clarify concepts, consolidate your notes and confirm your understanding.

Using AI to support learning in maths-based units Use AI effectively, critically, and ethically to strengthen your understanding and independent problem-solving in maths-based subjects.

AI workshops Learn to use Gemini and Copilot effectively and ethically. Start with the basics – how AI works, signing in, and writing good prompts. Level up to advanced skills like custom study assistants and Deep Research. Plus, get one-on-one support whenever you need it. Find out more

Useful resources

Explore the videos below to learn about how you might use AI in your studies, and why acknowledging its use is important.

Video 3 - Processes and AI It is important to note how you used AI in your work so your readers can understand how it was used.

Video 4 - Documentation and AI Recording how you use AI is an important step when using AI.

Video 5 - Chatting about AI Sharing what we learn about different AI tools helps us all learn.

Video 1 - Trust and AI Acknowledging the use of AI in your studies helps create trust between you and the person reading your work.

Video 2 - Research and AI AI might help you with research, but it is important you explain how.

AI in your study journey

AI is changing how we learn and work. Monash is supporting students to build confidence using AI in ways that strengthen critical thinking, creativity and responsible practice. Watch how AI can support different stages of your learning journey.

FIT1059 AI for Everyone

Knowing how to use AI well is becoming an essential skill across every industry, whatever you study. This Monash elective unit helps non-technical students apply AI in their own discipline – no coding required. It is open to all faculties and gives you practical, real-world AI skills you can take into your future career.

Foundations in AI Module

Build the skills to use AI responsibly in your studies, career and personal life. Explore key concepts, ethical use and effective prompting through hands-on activities, then use the proof of completion in your Moodle profile to unlock further resources.

AI technologies

For more information about some of the AI resources available at Monash, select one of the following options below.

Canva

Gemini

Gemini Notebook

Microsoft Copilot

Zoom

Monash MAVERIC

The University takes environmental sustainability seriously, and it remains a core priority for Monash as we expand our digital and AI capabilities.

The Monash-built MAVERIC advanced AI supercomputer has been designed with sustainability as a top priority. Powered by 100 percent renewable energy and highly efficient cooling systems, MAVERIC enables researchers to accelerate discovery while reducing the environmental impact of high-performance computing.

While many widely used AI technologies rely on large global data infrastructure and significant computing power and universities adopt these tools to support learning, research and professional work, it is important that we remain transparent about their environmental footprint while continuing to prioritise responsible and efficient use.

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