GenAI: Translating Potential into Teaching Practice (2-part series)

How can AI move from being an exciting idea to something that genuinely enhances teaching and learning in your classroom?

This two-part workshop explores how generative AI can be embedded into teaching practice in ways that are practical, ethical, and aligned with pedagogy.

We’ll go beyond the “what is AI?” conversation to focus on how you can use it to design learning activities, support student engagement, and save time on preparation—while maintaining academic integrity and professional judgement.

What To Expect

With the institutional version of MS Copilot (login with your college email at copilot.microsoft.com) we’ll cover the following:

Session 1 (20 March): Exploring Opportunities

• Reframe teaching challenges: Identify common areas where AI can reduce workload or enhance creativity.
• Design smarter activities: Learn how to use AI to create prompts, questions, and materials that stimulate deeper learning.
• Keep it ethical: Explore ways of ensuring AI use remains transparent, fair, and pedagogically sound.

Session 2 (27 March): From Ideas to Practice

• Practical applications: Work with examples of lesson planning, feedback design, and resource development.
• Collaborative problem-solving: Share ideas with colleagues and adapt AI approaches to your own teaching context.
• Plan your next steps: Leave with an action plan for trialling AI-enhanced approaches in your own subject area.

Between sessions, you’ll get personalised online support from the CDN team to put your new skills into practice and develop content that matters to you.

Who Should Attend

This workshop is designed for college lecturers and staff who are interested in making AI a meaningful part of their curriculum delivery and classroom practice.

Session Materials

Participants will receive supporting resources including sample prompts, planning templates, and case examples to help translate workshop activities into their own practice.

Facilitator - Kenji Lamb

Kenji serves as the Delivery & Engagement Partner at the College Development Network (CDN), the principal improvement agency dedicated to advancing Scotland's colleges. With a robust background in ESOL education and educational technology, he has amassed extensive experience in the UK and overseas, spanning both private and public sectors. In light of the rapid advancements in generative AI, Kenji's current focus is on supporting educational practice to ensure that staff and students are well-prepared for an AI-driven future.

(Bio ‘enhanced’ by Llama v3 and image generated by a giggling daughter playing with Snapchat’s lenses)