About the course
This course is designed for educators who aim to support diverse learners, including students with dyslexia, ADHD, and autism, through adaptive learning approaches powered by generative AI. The programme focuses on using AI tools to personalise learning experiences, improve accessibility, and enhance student engagement. Participants explore practical strategies to design inclusive, flexible, and student-centred learning environments that respond to individual needs while promoting academic success and well-being.
What will you learn?
By the end of this course, participants will:
Understand adaptive learning principles and apply generative AI tools to support diverse learning needs.
Design personalised and accessible learning materials for students with dyslexia, ADHD, and autism.
Implement inclusive, technology-supported teaching strategies that enhance engagement and learning outcomes.
Course Content
This course combines theoretical foundations of adaptive learning with hands-on applications of generative AI tools. Participants explore strategies for inclusive education, accessibility, and differentiated instruction while engaging in workshops, case studies, and collaborative activities. The programme emphasises practical implementation, enabling educators to design AI-supported learning environments tailored to diverse learners.
Morning Session (3 hours):
Key concepts of adaptive learning and inclusive education
Overview of generative AI tools in education
Afternoon Session (3 hours):
Understanding diverse learning needs (dyslexia, ADHD, autism)
Group discussion: Identifying challenges in participants’ classrooms
Morning Session (3 hours):
Using generative AI to create differentiated learning materials
Adapting content for various learning profiles
Afternoon Session (3 hours):
Strategies for improving accessibility and engagement
Workshop: Designing personalised AI-supported activities
Morning Session (3 hours):
Practical approaches for dyslexia, ADHD, and autism
AI-assisted reading, writing, and focus-support tools
Afternoon Session (3 hours):
Inclusive classroom strategies and scaffolding techniques
Case study analysis and solution development
Morning Session (3 hours):
Creating flexible and learner-centred lesson plans
Integrating AI tools into daily teaching practices
Afternoon Session (3 hours):
Collaborative learning and student participation
Group work: Developing an inclusive lesson plan
Morning Session (3 hours):
Assessing learning outcomes in adaptive environments
Ethical considerations and responsible use of AI
Afternoon Session (3 hours):
Developing sustainable, AI-supported teaching strategies
Final activity: Presentation of participants’ action plans
