James McDiarmid | Head of Computer Science
Marlborough College Malaysia

James McDiarmid is an exceptional educator and the Head of Computer Science at Marlborough College Malaysia, where he leads the Computer Science curriculum development from Year 1 through to the IB Diploma Programme. With a background in software development and corporate training, James brings a unique blend of industry insight and classroom innovation to his teaching. His passion lies in harnessing cutting-edge technologies—particularly Artificial Intelligence—to create personalised, student-centred learning experiences. Under his leadership, Marlborough College Malaysia has seen students achieve top-in-the-world awards in Computer Science and has been pivotal in the integration of AI into the classroom. James’s current work explores how educators and students can build their own AI tutors, empowering learners with on-demand support and more personalised learning experiences. Drawing on his experience in both education and software development, he shares practical strategies for implementing AI ethically and effectively in schools. When he’s not in the classroom or coaching a programming club, James is likely out in nature with a camera in hand, exploring wildlife or playing a round of golf.

Appearances:

Pre-conference Workshops @ 10:00

[M1] 4 Nov (AM) - Beyond office hours: AI chatbots as on-demand tutors

With today's learners expecting constant access to support, AI chatbots have proven to be helpful companions, offering immediate, personalised tutoring outside typical classroom hours.

In this workshop, we'll explore how these chatbots are becoming trusted learning partners, supporting students exactly when and where they need it. We'll address real-life scenarios where AI chatbots have effectively boosted student engagement and performance, providing tailored help for individual learning needs in classrooms. Participants will have the opportunity to delve into the practical side, seeing examples of chatbots successfully integrated into various teaching approaches and how they can experiment with using them effectively.

Together, we'll also openly address common challenges educators might face when introducing this technology (such as: digital literacy and accessibility, trust in platforms accuracy, data privacy and sharing, and over-reliance on technology) and how best to overcome them in each individual’s context. One of the most important discussions we’ll cover is the ethics of AI in education, touching upon crucial topics like privacy, fairness, and ensuring meaningful human involvement. Through facilitated group discussions, reflections and feedback, participants will consider how AI-driven tutoring can complement traditional teaching methods (rather than replacing them), to enhance student learning experiences responsibly and thoughtfully.

By the end of the session, attendees will have the practical knowledge, access to a framework of tools, and the confidence to experiment with AI chatbots in their own educational contexts, equipped with the awareness needed to do so ethically and effectively.

Participants will:

Understand key principles when designing your own custom AI chatbot
Learn practical strategies and best practices for integrating chatbots into educational settings
Reflect on key ethical considerations like privacy, equity and maintaining meaningful human oversight in AI-assisted tutoring

James McDiarmid, Head of Computer Science, Marlborough College Malaysia

last published: 16/Apr/25 01:05 GMT

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