Friday, 23 October 2026 [Pre-Convention Seminar]

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The Teacher’s Practical AI Toolkit

Teaching is one of the most demanding professions in the world. Behind every great lesson is hours of planning, writing, communicating, and documenting. This hands-on workshop is designed to give that time back to you.

In this session, you will discover how AI can become your most reliable behind-the-scenes partner, handling the administrative load so you can focus on what truly matters: your students.

Together, we will walk through four practical, real-world applications you can start using from day one:

·        Design Lesson Plans that are structured, curriculum-aligned, and ready to teach, in a fraction of the usual time.

·        Maintain Teachers’ E-Records with ease, creating organized, professional documentation that meets school standards without the paperwork stress.

·        Craft Parent Emails that are clear, warm, and professional, whether it is a progress update, a concern, or a celebration of your student’s growth.

Build Exam Papers at a professional level, complete with varied question types, mark schemes, and differentiation, all generated with your learning objectives in mind.

By the end of this workshop, you will not just understand AI. You will know how to command it. You remain the professional. AI simply carries the load.

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Who steers learning — teachers or technology?

Amid the rapid integration of AI in education, a key question arises: Who steers learning—teachers or technology? This presentation argues that while AI can enhance teaching and learning, it is the teacher who defines learning goals, designs experiences, and safeguards pedagogical integrity.

Drawing on Chinese Language classrooms in Singapore, the session demonstrates a pedagogy-first approach to AI integration. AI is used selectively as a responsive scaffold to enhance feedback, personalise learning, and extend interaction.

Central to this approach are the roles of teachers-in-the-loop and teachers-over-the-loop. Teachers shape AI-mediated interactions while exercising professional judgement over when and how AI should be used.

Through classroom examples, the presentation shows how AI serves not as a replacement, but as a pedagogical partner under teacher control to amplify and transform teaching and learning. It invites educators to re-centre pedagogy and reaffirm their role as designers of learning in the age of AI.

Practical and adaptable ways of using AI-enabled tools to support revision, formative assessment and develop students’ metacognitive awareness in the writing process cycle

Research suggests that writing development is supported by self-regulation and by students’ ability to understand and act on feedback. Graham and Harris (2000) highlight the role of self-regulation in writing,. Malecka, Boud, and Carless (2022) also emphasise the importance of helping students seek, process and act on feedback.

This session offers practical and adaptable ways of using AI-enabled tools to support revision, formative assessment and develop students’ metacognitive awareness in the writing process cycle. Using examples from MOE tools such as SALiS and other SLS AI-enabled features, the session keeps the teacher firmly at the centre as the designer of purposeful learning experiences and the guide to critical and ethical language use in the age of AI. Participants will leave with strategies that can be adapted across contexts to strengthen student reflection, agency and voice in their writing.

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Strengthening learning without weakening trust

Our project demonstrates that AI can strengthen learning without weakening trust. By positioning teachers as designers, decision-makers, and assessors, AI talking avatars become structured practice tools — not autonomous evaluators. The model protects assessment integrity, prioritizes transparency, safeguards student privacy, and embeds ethical oversight into everyday classroom practice. It offers a practical blueprint for responsible, teacher-governed AI integration in an AI-enabled world.

We will also share how we use student onboarding session to explicitly teach how AI is being used in the classroom and why. Students are positioned not as passive users, but as accountable participants who must manage their own AI use responsibly.

Agile Engines for Diverse Learners: Automating Lesson Preparation in Multicultural Primary Classrooms

Lesson preparation for multicultural classrooms has become increasingly complex due to students’ diverse linguistic backgrounds and varying learning levels. This session introduces AI as an “Agile Engine” designed to navigate these educational challenges effectively.

The session will share practical cases of using AI to automate the creation of multilingual learning materials, differentiated worksheets, and customized feedback. By reducing the “engine room” workload, teachers can focus more on their core role: fostering emotional connections and building strong relationships with students. Ultimately, this session demonstrates how AI goes beyond being a simple tool to become a powerful engine that empowers teachers and makes the modern classroom more sustainable.

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The Engine Room of Teaching: Streamlining Workflows, Empowering Educators, and Sustaining AI Integration

This presentation explores how the “engine room” of education, comprising the essential systems and processes that support teaching, can be strengthened through efficient workflows, empowered educators, and responsible Artificial Intelligence (AI) integration. It examines how repetitive administrative tasks, such as assessment, reporting, and documentation, can be streamlined using digitised systems, shared templates, and automation, enabling teachers to devote more time to meaningful teaching and professional growth.

The session also highlights the importance of teacher agency by encouraging educators to make informed decisions, adapt practices to learners’ needs, and foster innovation through greater autonomy. AI is presented as a valuable assistant that enhances productivity while complementing, rather than replacing, teachers’ professional judgement. Ethical considerations, including data privacy and digital literacy, remain central to its adoption. Supported by effective leadership and professional organisations, the integration of efficient systems, teacher empowerment, and sustainable AI use creates a balanced, resilient, and future-ready education ecosystem that prioritises both teacher well-being and student learning.

Human First, AI Second: Strengthening Teacher Relationships and Well-Being in an AI Era

Artificial Intelligence is rapidly reshaping the educational landscape, creating new opportunities to enhance teaching and learning while also presenting significant challenges for the teaching profession. This presentation explores how AI can be integrated into education in ways that strengthen, rather than diminish, the essential human elements of teaching. It examines the importance of teacher–student relationships, teacher well-being, and professional autonomy in an AI-driven era, while highlighting the need for ethical implementation of technology that supports educators instead of adding to their workload.

The presentation also discusses the role of teacher unions in advocating for human-centred AI policies and ensuring that innovation enhances educational quality without compromising the values, trust, empathy and human connections that remain at the heart of education.