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Modernizing Foreign Language Teaching Through Personalized AI Solutions

The programme is designed for foreign language teachers with advanced AI literacy who wish to develop practical skills in the latest AI applications for teaching and learning. Participants will explore AI developments and trends, tools for language education, personalised learning, AI assistants, automated systems, assessment and feedback. Through theoretical and practical activities, they will test AI tools, create personalised learning content and model their use in foreign language lessons. The programme also addresses ethical, responsible, safe and pedagogically sound AI use. The knowledge and skills gained will help teachers plan lessons more effectively, personalise learning, increase student engagement and strengthen their technological and pedagogical competencies.

In this training you will learn:
  • to critically evaluate the opportunities and limitations of AI in foreign language teaching and learning;
  • to create personalized learning activities using AI tools;
  • to use AI assistants and automated systems in foreign language lessons;
  • to use AI for lesson planning, assessing student learning, and providing feedback;
  • to integrate AI solutions to enhance student engagement;
  • to apply AI ethically, responsibly, safely, and in a pedagogically sound manner in the teaching and learning process.

Do you have any questions?
Contact us for a consultation.

Indrė Baltrušaitienė
phone +370 682 91 750
email indre.baltrusaitiene@ktu.lt

Certificate issued
You will receive a certificate upon completion of this course
Start date
Organized upon forming a group
Duration
40 ac. hrs.
Organiser
Pedagogical Centre
Programme language
Lithuanian
Price
140 Eur
Method of organisation
Blended learning
Field
Teaching‚ Learning and Educational Innovations

The programme is conducted by

The programme is led by specialists in their field with practical and methodological experience. They help participants deepen their knowledge, acquire new skills, and apply them in real-life situations.

Dainora Maumevičienė
Dainora Maumevičienė »

Associate Professor

Evelina Jaleniauskienė
Evelina Jaleniauskienė »

Associate Professor

Contacts