Course #9 Getting better results when using AI for lesson planning and materials production.
Dates / Venues
2025
Utrecht: October 19 – 24
2026
Alanya: Jan. 18-23
Utrecht: Febr. 22-27, July 5 – 10, Oct. 11 – 16
Target Groups:
Language Teachers in primary, secondary and vocational education
Aims:
This course is aimed at teachers who are interested in using AI to assist them in providing alternative and/or supplementory materials to textbook units for pedagogical reasons.
The objectives of this intensive 6-day course are to:
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- promote teacher professionalism in evaluating and selecting available AI-empowered apps for lesson planning and materials production
- empower MFL teachers to adapt their textbook-based teaching to established learners’ needs and/or new curriculum requirements with the support of AI-empowered tools for instructional design, lesson planning and efficient materials production
- develop participants’ skills to analyse textbook units content and alignment to stated objectives and related current classroom-based tests and assessments.
- develop participants’ skills in selecting content and implementing AI-supported materials & methodologies for a range of curriculum objectives and contexts in and beyond the classroom
- support practitioners to evaluate the impact of their innovative scenarios on student learning outcomes
- develop participants’ competences to function as i-coach in the school and support peers to implement AI-enhanced lessons
Methodology
Each day will cover a different aspect of designing and evaluating AI integration for teaching and learning. The course activities include demonstrations of useful applications, exemplary materials and teaching practices followed-up with tutor-led presentations and discussions about methodological related topics. Coursework will incorporate delegates existing knowledge and experience and provide a helpful learning environment with a balanced mix of theoretical and practical knowledge. Hands-on activities carried out by participants individually, in pairs and/or small groups include exploring tools, analyzing classroom practices and related lesson activities and creating content to be used in participants’ personal practice.
To provide flexible access to course related tasks and resources a course learning management system (LMS) will be used. After-course access to the LMS is offered to promote follow-up communication and collaborative learning when exchanging (re)designed local practice experiences and materials.
Preparation
A pre-course, online questionnaire could be provided to assess pre-knowledge and further align course content and procedures to needs and interests.
Delegates are requested to bring subject book(s) and/or related ICT materials (if available) to be used when creating customised materials and activities.
Day-to-Day Course Topics
Day 1
• Meet & Greet / Introductions
• Cultural Event
Day 2 Foundations of AI in MFL Education
- Intake questionnaire review: Current AI usage and comfort levels
- Course objectives and structure
- Finetuning learning expectations
- What is AI and how can it support MFL teaching?
- Exploring sample practices and related aspects (ethical issues, privacy, safety, and professional responsibility)
- Addressing common concerns and misconceptions
Day 3 Textbook Unit analysis
• Briefing on the course task: Use Case: (re)design for the development of an AI-supported lesson/project
• Introduction to textbook Unit analysis and test/assessment alignment.
• Demonstration and examination of scenarios designed by actual classroom practitioners across Europe
• Selecting textbook topic / unit in current practice for elaboration
• Introduction to AI tools for Unit and Lesson planning: Dedicated, generic educational applications
Day 4 Integrating AI in current practice (1)
• Introduction to features and quality criteria for dedicated, AI-powered instructional design tools for Lesson Planning and materials construction.
• Selecting a specific tool and exploring its functionalities to realise your ideas for adapting/ (re)designing your textbook Lesson/Unit or school project
• Sharing tool first use experiences
Day 5 Integrating AI in current practice (2)
• Introduction to using GenAI platforms (prompt engineering) and AI-empowered applications purpose-built to function as assistants for (MFL) instructional design (Lesson Planning and materials construction)
• Adapting your school Textbook Unit
• Piloting & getting feedback on draft materials & lesson scenarios from other participants.
• Finalising your redesigned Textbook Unit teaching & learning materials
Day 6 AI in the classroom
• Addressing classroom management issues (guidelines for coaching individual and collaborative work)
• Presenting & sharing materials
• Briefing on follow-up activities, strategies for further professional development and sharing your know-how & ideas within school
• Course wrap-up, evaluation and certification
Click here for the General TELLConsult Course Terms (registration, procedures, costs, cancellation, etc…)