Pre-Conference Workshop
Workshop Overview
Generative Artificial Intelligence (GenAI) is redefining how educators design, deliver, and evaluate learning. While AI tools such as ChatGPT, Gemini, and NotebookLM offer vast potential for enhancing teaching effectiveness and learner engagement, their meaningful use requires pedagogical insight and ethical awareness.
This 3-hour, hands-on pre-conference workshop introduces educators to the practical use of Generative AI in course design and assessment. Participants will learn to apply context engineering to personalise AI outputs for their own teaching, generate lesson plans and assessment items, and create an AI-enhanced learning artefact. The workshop emphasises responsible and transparent AI use aligned with academic integrity and learning outcomes.
Duration
3 Hours
Max participant
40 participants
Target Audience
Medical and health professions educators, instructional designers, and academic staff interested in integrating Generative AI into teaching and learning practice.
Learning Outcomes
By the end of the workshop, participants will be able to:
1. Understand the concept of context engineering and apply it to educational settings.
2. Use Generative AI tools to co-design lessons, activities, and assessments.
3. Develop AI-enhanced artefacts that support active and inclusive learning.
4. Apply ethical principles in the use of AI for teaching and assessment.
Workshop Structure
Part 1 – Foundations and Context Engineering (45 minutes)
Introduction to Generative AI and its relevance to education.
Understanding context engineering and personalising AI models for teaching.
Hands-on: Creating your educator profile and teaching context prompt using ChatGPT or Gemini.
Outcome: Personalised AI context template for lesson planning.
Part 2 – Designing AI-Enhanced Learning and Assessment (75 minutes)
Using AI to generate learning outcomes, activities, and formative assessments.
Demonstration: Aligning AI outputs with curriculum objectives and Bloom’s taxonomy.
Hands-on: Participants co-create a lesson plan, assessment item, or learning activity using AI tools.
Outcome: AI-generated instructional artefact (lesson plan, quiz, or activity outline).
Part 3 – Ethics, Reflection, and Showcase (60 minutes)
Ethical and responsible use of AI in education: transparency, bias, authorship, and assessment integrity.
Peer sharing: Participants briefly present their artefacts.
Facilitated discussion on implementation within institutional teaching contexts.
Outcome: Ready-to-apply AI-enhanced teaching artefact and ethical integration plan.
Tools Required
Participants must bring:
A laptop with access to ChatGPT, Gemini, or NotebookLM.
A course outline or lesson plan for adaptation.
Internet access (provided by organisers).
Deliverables
AI-enhanced teaching artefact (lesson plan or activity design).
Context engineering prompt template.
Practical understanding of ethical GenAI use in teaching and assessment.
Facilitator
Dr Vaikunthan Rajaratnam
Senior Consultant, Hand & Reconstructive Microsurgery, Khoo Teck Puat Hospital, Singapore
Adjunct Professor, Universiti Kebangsaan Malaysia (UKM)
UNESCO Chair Partner, Asia Pacific University of Technology & Innovation (APU)
Programme Director, AI in Healthcare, NHG College