Competencies and objectives
Course context for academic year 2026-27
This course, taught in English and Spanish, is designed for learners who wish to gain confidence in communicating in English through the support of Artificial Intelligence (AI) tools. Through dynamic conversations and interactive simulations, participants will practise speaking and listening in personal, academic and professional contexts, progressively improving their fluency, pronunciation and ability to communicate naturally.
Throughout the course, AI tools will act as conversation partners, providing flexible and personalised opportunities to practise English, listen actively and receive immediate feedback. In addition to strengthening oral communication skills, participants will develop strategies for interacting confidently in a variety of cultural and international settings while enjoying a practical, engaging and real-world approach to learning English.
Learning outcomes / Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2026-27
No data
Learning outcomes (Training objectives)
No data
Specific objectives stated by the academic staff for academic year 2026-27
The objectives of this practical course are as follows:
1.Participate with greater fluency and confidence in English conversations in personal, academic and professional contexts by using Artificial Intelligence (AI) tools as interactive conversation partners.
2.Understand authentic and varied spoken discourse by identifying nuances, communicative intentions and implicit meanings across different registers.
3.Improve pronunciation, rhythm and intonation in order to communicate more clearly, naturally and effectively in English.
4.Become familiar with and use Artificial Intelligence tools to practise English independently, strengthening fluency, pronunciation and confidence in spoken communication.
General
Code:
92916
Lecturer responsible:
Belda Medina, Jose Ramon
Credits ECTS:
4,00
Theoretical credits:
1,60
Practical credits:
0,00
Distance-base hours:
2,40
Departments involved
No dataStudy programmes where this course is taught
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PERMANENT UNIVERSITY
Course type: ELECTIVE (Year: No year)

