Module 3
Pedagogically sound AI integration for language teaching and interaction
Module description
The module activates prior knowledge of the CEFR and develops instructors’ ability to evaluate AI tools from a pedagogical perspective, ensuring that pedagogy drives technology use. It explores how TEL and AI can enhance motivation, engagement, collaboration and personalization, using tools such as Mentimeter, ChatGPT, TTS and LanguageTool.
Full description available here.
DigCompEdu Areas
Area 2: Digital Resources
2.2 Creating and modifying digital resources – 2.3 Managing, protecting, and sharing digital resources
Area 3: Teaching and Learning
3.3 Collaborative learning – 3.4 Self-regulated learning
Area 4: Assessment
4.2 Analyzing evidence – 4.3 Feedback & Planning
Area 5: Empowering Learners
5.1 Accessibility and inclusion – 5.2 Differentiation & personalisation
5.3 Actively Engaging Learners
Area 6: Facilitating Learners’ Digital Competence
6.1 Information and data literacy – 6.2 Communication and collaboration – 6.3 Digital content creation
6.4 Responsible use (of tools for feedback and assessment)
Learning outcomes
On successful completion, learners will be able to critically evaluate the use of AI tools in foreign language teaching based upon CEFR B1 and B2 descriptors.
On successful completion, learners will be able to successfully experience the design of AI-supported language activities: design pedagogically sound AI-supported language learning activities that develop speaking, listening, and writing skills aligned with CEFR B1–B2 descriptors.
On successful completion, learners will be able to successfully apply AI for FL language development: apply multilingual AI tools (TTS and LanguageTool) to support learner language production through guided practice, feedback, and revision.
On successful completion, learners will be able to critically reflect on the limitations, risks, and ethical implications of AI use in language teaching.