Results
D2.1 en – AI-NYELV methodology
Methodological framework outlining how AI tools can be integrated into university-level language teaching
Practical methodological guide that supports higher education language teachers in integrating AI into second language education, using it to enhance personalised learning, learner autonomy, classroom interaction, and formative assessment while preserving teachers’ central pedagogical role.
D2.2 en – AI-NYELV Ethical framework
D2.2 en – Ethical Guidance for teachers and students
Ethical Framework on the Use of AI in Teaching and Learning
Principles of Ethical and Human-Centred AI in Education and practical guidance for teachers and students.
D3.1 en – Comparative Analysis of AI Tools
Comparative Analysis Report of AI Tools for Language Learning, Language Teaching, and Translation/Interpreting
Comprehensive analysis of 26 AI tools for language learning, teaching, translation and interpreting, evaluating features, pedagogical effectiveness, and ethical implications to guide informed and responsible integration in higher education.