3rd July 2024

2025 Course #14 Methods and AI-supported Technologies for classroom differentiation and inclusion.

Course nr: #14: Methods and AI-supported Technologies for classroom differentiation and inclusion.   

2025
Dates/Venues

Utrecht
February 16 – 21
Istanbul
October 5 – 10

Target Groups

This course  has been designed for teachers & teacher educators in primary, secondary and vocational education who are – or are interested to start – using AI for teaching and learning and want to learn more about related tools and methodologies to address classroom differentiation and inclusion issues.

Aims
This course aims to

  • familiarise participants with differentiation models
  • develop teachers competences to analyse related (mobile) learning lesson plans and practice recordings
  • develop participants’ skills involved in designing scenarios supporting classroom differentiation
  • raise participants’ awareness of pedagogies and available (assistive) technologies with a focus on inclusion
  • further develop relevant teachers competences and confidence in using technology in education
  • familiarise delegates with strategies to promote sustainable implementation of technologies in their schools

Methodology  
The course activities include short tutor-led presentations to introduce project results including differentiation strategies, models and design methods, demonstrations of exemplary learning practices and useful apps followed-up with discussions about pedagogical related topics.
Furthermore, hands-on activities carried out by participants individually, in pairs and/or small groups which include exploring apps,  analyzing classroom practices and designing learning arrangements & related content to be used in participants’ personal school contexts.
To address the anticipated variety in participants’ interests and needs (in terms of tools, pedagogical approach, target groups and individual technology skills level) most course tasks are designed in such a way that they can lead to differentiated relevant learning experiences and outcomes.
To provide flexible access to course related tasks and resources a virtual learning environment (VLE) will be used. After-course access is offered to promote follow-up communication and collaborative learning when exchanging redesigned local practice experiences and materials.

Preparation
Delegates are requested to bring subject book(s) and/or related digital materials (if available) to be used when creating customised materials and activities.

Day-to-Day Course Topics

Day 1

  • Arrival participants
  • Greet & Meet
  • Cultural Event

Day 2

  • Creating common ground and sharing related experiences
  • Differentiation Models explored & analysed on the basis of selected Good Practice cases
  • How to define a design challenge
  • Introduction to instructional design methodolgy (Addie)
  • Analysing Examples (challenge – realised results)

 Day 3

  • Introduction to AI in Education
  • Exploring personalisation strategies and related (subject specific) apps and the potential of AI-based approaches for differentiation purposes

Day 4  

  • Models for evaluating innovative practices developed in related EU projects (SAMR, iPAC Framework and design principles)
  • Reviewing draft designs developed so far

Day 5

  • Finishing scenario descriptions + related content development
  • Piloting & Sharing scenarios
  • Peer Assessment & Reflecting on Materials

Day 6

  •  Microteaching & sharing scenarios
  • Suggestions for resources & strategies for further personal/collaborative professional development with a focus on (mobile & online) learning and assistive technologies to support inclusion
  • Strategies and tools to support local strategies for sustainable implementation of learning for all including: Teacher Design Teams development
  • Course evaluation and Certificates

 


Click here for the General TELLConsult Course Terms (registration, procedures, costs, cancellation, etc…)