Responsible AI in Education: Ethics in Practice for Teaching and Learning
About This Course
AI tools are increasingly being used in teaching and learning—from generating lesson ideas and quizzes, creating differentiated materials, and supporting feedback, to helping learners brainstorm, revise writing, and study more effectively. When used appropriately, these tools can enhance teaching productivity and learning outcomes. However, careless use may introduce risks such as inaccurate or misleading content, bias, privacy concerns, over-reliance by learners, and challenges to academic integrity.
This hands-on 2-day course is designed for educators regardless their coding background. You will gain practical knowledge and experience to guide the responsible and ethical use of AI tools in the classroom—while ensuring practices are safe, fair, and aligned with institutional expectations. The course is grounded in Infocomm Media Development Authority (IMDA)’s AI governance principles, covering: transparency, explainability, repeatability/reproducibility, safety, security, robustness, fairness, data governance, accountability, human agency and oversight and societal and environmental well-being.
The course breaks down these governance principles into relatable classroom scenarios. You will learn how responsible AI differs from simply “using AI,” and how to embed responsible practices into lesson design, assessment, and learners guidance—so you can gain the benefits of AI without compromising trust, integrity, or learner well-being. Importantly, you will also learn how to teach learners AI awareness, helping them understand what AI can and cannot do, how to verify AI outputs, and how to recognise common AI risks such as hallucinations, bias, and manipulation.
Through interactive exercises and demonstrations, you will learn how to identify suitable classroom uses of AI, set practical guardrails for both educators and learners, and redesign teaching and assessment practices to be both effective and responsible—without needing any coding skills.
What You'll Learn
After completion of the course, you will be able to:
1. Identify high-value teaching, learning, and assessment tasks where AI tools can improve effectiveness and productivity—and recognise situations where AI should not be used (e.g., high-stakes assessment decisions or sensitive learners' matters without proper controls).
2. Apply Infocomm Media Development Authority's (IMDA) AI governance principles to classroom AI use, including transparency, explainability, repeatability/reproducibility, safety, security, robustness, fairness, data governance, accountability, human agency and oversight, inclusive growth, and societal and environmental well-being.
3. Use practical techniques to improve the quality and reliability of AI-supported teaching materials and learners' work (e.g., verification steps, fact-checking, citation practices, documentation, and reproducible prompts/templates).
4. Guide learners in AI awareness and safe use, helping them understand AI capabilities and limitations, practise verification and reflection, and recognise risks such as misinformation, bias, over-reliance, and prompt-injection/social engineering.
5. Manage common risks in educational AI use—including learners' privacy, academic integrity concerns, and inappropriate AI use—by applying clear guardrails, checklists, and appropriate human oversight.
Entry Requirements
No technical knowledge or skills are required.