pai principals academy partner NIE-NTU

Leveraging AI and Technology in Intervention Support

AI and SEN Workshop
Workshop Overview and Outline

Leveraging AI and Technology in Intervention Support

Target Audience

Special educational needs (SEN) practitioners in mainstream and Special Education (SPED) schools, including SEN Officers, Teachers Trained in Special Needs, Teacher Leaders for Learning Needs (SEN), teachers who deliver intervention programmes such as the Learning Support Programme, Learning Support for Mathematics and School-based Dyslexia Remediation, and SPED school teachers. Middle leaders who coordinate student support will also benefit. No prior AI experience is required. The workshop is grounded in Singapore's school context and in current MOE guidance on the use of AI.

Duration

One day, in-person. The workshop can (optionally) be delivered as two half-day sessions, which gives participants the chance to trial part of their intervention plan between sessions. Enquiries for school based training are welcome.

Every intervention begins with a learner, not a tool.

Overview

Teachers who support students with special educational needs already balance individual learning profiles, accessibility requirements and tightly defined intervention goals, usually with very little preparation time. AI and assistive technologies can ease that load considerably: producing differentiated and multi-modal materials in minutes, breaking tasks into manageable steps, generating visual supports, and turning scattered progress notes into a clear picture of what is working. Used carelessly, the same tools can expose sensitive student information, oversimplify complex needs, or quietly substitute plausible-sounding output for professional judgement.

This hands-on workshop equips SEN practitioners to use AI and technology deliberately. Participants explore what a range of tools can and cannot do for diverse learners, examine the ethical questions that matter most in SEN contexts, and learn a structured approach to selecting tools against a student's learning profile, accessibility requirements and intervention goals. Much of the day is spent building a complete AI- and technology-enhanced intervention support plan, including how progress will be tracked and reviewed, so that participants leave with a plan they can put into practice the following week.

What you will take away:

  1. 01A clear view of the tool landscape for intervention support, from established assistive technologies to generative AI, and an honest sense of where each genuinely helps diverse learners.
  2. 02A responsible-use checklist for SEN contexts covering data privacy, human oversight, accuracy and reliability, and the limitations of AI, aligned with MOE guidance.
  3. 03A tool selection framework for matching AI and technology tools to a student's learning profile, accessibility requirements and intervention goals, with a written rationale for each choice.
  4. 04A bank of tested prompts and intervention resources created during the day for the learners you support, including scaffolds, multi-modal materials and visual supports.
  5. 05A complete AI- and technology-enhanced intervention support plan with measurable goals, a delivery approach, progress-tracking measures and review points, ready to implement.

Learning Outcomes:

Knowledge:

  1. K1Understand how a range of AI and technology tools, from assistive technologies to generative AI, can address diverse learning needs across the design and implementation of intervention support.
  2. K2Understand the ethical considerations of using AI with students with special educational needs, including data privacy, human oversight and professional judgement, accuracy and reliability, and the limitations of current tools.
  3. K3Explore the considerations that inform tool selection: students' learning profiles, accessibility requirements, intervention goals, age-appropriateness and data-handling requirements.
  4. K4Gain insights into how technology can strengthen progress monitoring and support evidence-based decisions about when to continue, adjust or fade an intervention.

Skills:

  1. S1Evaluate and select appropriate AI and technology tools for an intervention, and articulate a clear rationale grounded in the student's learning profile, accessibility requirements and intervention goals.
  2. S2Apply structured prompting (the CO-STAR framework) and verification checks to create accurate, accessible intervention materials and supports.
  3. S3Develop an AI- and technology-enhanced intervention support plan that addresses a student's needs, enhances intervention delivery and tracks progress.
  4. S4Apply safeguards that protect sensitive student information and keep professional judgement at the centre of every AI-supported decision.

Course Overview Outline and Timings:

TimeSessionTopicsActivities
8:30 AM - 9:00 AM

Registration and Networking

Topics

Welcome & Introductions

Activities

Light breakfast & networking opportunities

9:00 AM - 10:00 AM
Session 1

AI and Technology for Diverse Learners: The Landscape

Explore what AI and technology can, and cannot, do for students with diverse learning needs, and where they fit in the intervention cycle.

Topics

Generative AI versus established assistive technologies; the continuum from text-to-speech and magnification to AI-generated materials; where technology adds value across the intervention cycle; MOE guidance on students' use of AI.

Activities

Opening pulse on confidence and current practice; live demonstrations; small-group sort of common intervention scenarios: help, hype or harm?

10:00 AM - 10:30 AM
Session 2

Using AI Responsibly in SEN Contexts

Examine the ethical considerations that matter most when technology meets sensitive student information and vulnerable learners.

Topics

Why SEN data needs particular care; data privacy and tool choice; human oversight and professional judgement; accuracy, reliability and confident errors; bias in how disability is represented; what AI cannot observe about a child.

Activities

Verification drill: find the faults in an AI-generated intervention plan; co-construct a responsible-use checklist for SEN practice.

10:30 AM - 10:45 AM

Break

Tea/Coffee Break

10:45 AM - 12:00 PM
Session 3

Selecting the Right Tool for the Learner

Learn a structured approach to choosing tools that starts with the student, not the technology.

Topics

A three-lens framework: learning profile, accessibility requirements and intervention goals; Universal Design for Learning (UDL Guidelines 3.0); practical criteria such as data handling, age and workload; matching tools to needs such as dyslexia, ADHD and autism.

Activities

Case work with anonymised composite learner profiles; complete a tool selection canvas with a written rationale; peer challenge of selection decisions.

12:00 PM - 1:00 PM

Lunch Break

Networking lunch

1:00 PM - 2:15 PM
Session 4

Creating AI-Enhanced Intervention Resources (Hands-On)

Put AI to work producing high-quality, accessible intervention materials for the learner profile you selected.

Topics

Structured prompting with CO-STAR and a verification check; levelled texts and chunked instructions; visual supports and social narratives; multi-modal versions of content; concrete-pictorial-abstract scaffolds for Mathematics.

Activities

Facilitator demonstration; guided hands-on creation of a resource set; peer critique against the learner profile and the responsible-use checklist.

2:15 PM - 3:15 PM
Session 5

Designing the Intervention Support Plan

Bring the day's work together into a complete, practical intervention support plan.

Topics

Components of a strong plan: anonymised learner summary, measurable goals, tools and rationale, delivery approach, roles, safeguards and review points; alignment with existing school intervention programmes.

Activities

Paired plan development using a structured template; gallery walk with structured peer feedback; refinement of plans.

3:15 PM - 3:30 PM

Break

Tea/Coffee Break

3:30 PM - 4:30 PM
Session 6

Tracking Progress and Making Data-Informed Decisions

Use technology to monitor progress efficiently and decide, with evidence, whether to continue, adjust or fade an intervention.

Topics

Choosing what to measure and how often; quick probes and observation checklists; using AI to summarise anonymised progress data; telling a trend from noise; decision rules; communicating progress to parents.

Activities

Hands-on analysis of an anonymised sample progress dataset; draft a progress summary and next-step decision; add the progress-tracking section to your plan.

4:30 PM - 5:00 PM
Close

Closing & Wrap-Up

Conclude the day by reviewing your intervention support plan and committing to your first step.

Topics

Q&A; Action commitment; Evaluation & Feedback; Distribution of certificates & takeaways.

Activities

Final Q&A session; individual action commitment for the next two weeks; exit pulse and evaluation; distribution of materials and certificates.

About the Presenter: 

Dr Jim Wagstaff

Dr Jim Wagstaff is a Senior Consultant at Principals Academy and has called Singapore home for nearly 20 years. He is an educator and entrepreneur whose practical experience, teaching practice, and research expertise centre on digital pedagogy–specifically, the application of AI in teaching and learning. In 2018, Jim co-founded Noodle Factory, an AI-powered teaching and learning platform designed to support differentiated instruction.

Jim earned his master’s and doctoral degrees from the University of Liverpool (UK). His ongoing research focuses on how educators can reliably and safely harness the power of digital capabilities to support teaching and learning.  Jim has also earned his post-doctoral diploma in academic practice in coordination with the Fellowship for Higher Education in the UK, where his current work includes action research related to the impact of generative AI in teaching and learning.

Through his work with Noodle Factory, Jim has the opportunity to work with teachers and instructors at all levels of education across many disciplines and faculties. Jim has advised and assisted dozens of secondary and tertiary educational institutions and educators in applying generative and conversational AI to teaching and learning. These include institutions and educators in Singapore, Malaysia, Indonesia, India, Australia, New Zealand, the United Kingdom, the United States, Canada, Mexico, and Europe. Jim is also currently involved in supporting the work of action researchers studying the impact of generative AI in teaching and learning at the University of London, Lusófona University (Portugal), and the Institute of Technical Education (ITE) in Singapore.

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AI in Education Professional Development Series

Empowering Educators to Teach, Learn, and Lead inthe Age of Artificial Intelligence

Overview

This AI in Education Professional Learning Series is a cohesive set of one-day professional development workshops created in partnership between the Principals Academy and Dr Jim Wagstaff, co-founder of Noodle Factory and author of AI-Assisted Teaching and Learning: A Generative AI Field Guide for Educators. Each workshop focuses on a different dimension of AI’s role in teaching and learning — from foundational understanding to advanced integration and future readiness.

Designed for teachers across subject areas, these workshops balance academic rigour with classroom practicality. Participants will explore hands-on applications of AI, learn to evaluate and adapt digital tools responsibly, and build confidence in aligning AI use with sound pedagogical frameworks such as R.A.T., KAT, and Constructive Alignment. Every session blends demonstration, discussion, and design-based activities to ensure that teachers leave with actionable strategies ready for immediate classroom application.

The series supports the MOE’s broader vision for ethical, effective, and future-ready use of technology in schools — equipping educators to lead innovation, enhance inclusivity, and improve learning outcomes through thoughtful use of AI.

Registration Details

Course Code: JW19227

Topic: Leveraging AI and Technology in Intervention Support

Presenter(s): Dr Jim Wagstaff

Date: 19 March 2027, Friday

Time: 9.00 am to 5.00 pm

Venue: Orchard Hotel or as otherwise advised

Closing Date: 15 January 2027, Friday

Workshop Fee: S$350.00 per participant, subject to GST.

Please get in touch with Joseph Loy by email at joseph@pai.sg or tel:6363 0330 if you require further information.

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