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2026-2027 / LGER0291-1

Practical and critical approach to artificial intelligence, scientific information literacy, and the Sustainability and Transition course

Practical and critical approach to artificial intelligence in modern languages

Scientific information literacy

Sustainability and Transition course

Faculty activity

Duration

Practical and critical approach to artificial intelligence in modern languages : 20h Th
Scientific information literacy : 10h Th
Sustainability and Transition course : 12h Th
Faculty activity : 10h Th

Number of credits

 Bachelor in modern languages and literatures : German, Dutch and English5 crédits 
 Bachelor in modern languages and literatures : general5 crédits 

Lecturer

Practical and critical approach to artificial intelligence in modern languages : Perrine Schumacher
Scientific information literacy : Christophe Dony
Sustainability and Transition course : Mathilde Mergeai, Sybille Mertens de Wilmars, Julien Perrez
Faculty activity : Mathilde Mergeai, Sybille Mertens de Wilmars, Julien Perrez

Coordinator

Mathilde Mergeai

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Practical and critical approach to artificial intelligence in modern languages

This course introduces second-year undergraduate students in Modern Languages and Literatures to the major challenges of artificial intelligence, as well as to its more specific applications in language learning, content production and revision in foreign languages. It provides them with the theoretical and practical foundations needed to understand, and critically use AI tools in both their academic studies and future professional contexts.

The following topics will be covered (subject to change):

  • AI research and the fundamental principles of chatbots;
  • Major challenges of AI adoption in our everyday life (including social, environmental and cognitive implications);
  • The strengths and limitations of AI tools in language learning and teaching;
  • AI use in higher education: transparency & academic integrity.

Scientific information literacy

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Sustainability and Transition course

This course aims to provide students with a scientific knowledge base from a full range of disciplines pertaining to the environmental and social issues of sustainability and transition.

Faculty activity

 

 

 

 

 

Learning outcomes of the learning unit

Practical and critical approach to artificial intelligence in modern languages

By the end of the course, students will have developed an awareness of:

  • the main strengths and limitations of AI tools for language learning and for content and revision in foreign languages;
  • the environmental, social and cognitive implications of the increasing use of AI tools;
  • the responsible and informed use of AI tools in both their academic studies and their future professional environment.

Scientific information literacy

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Sustainability and Transition course

At the end of this course, and on the basis of the scientific content presented, students will be able to:

  • Describe, differentiate and question the dynamics and interactions of the different spheres of the Earth system;
  • Describe and analyse the interactions between the human and the Earth systems;
  • Demonstrate the importance of considering the issues of sustainability and transition from a systemic point of view;
  • Develop a critical and reflective mindset that enables them to analyse current issues;
  • Use the scientific knowledge base to combat feelings of eco-anxiety;
  • This knowledge and these skills will be developed by combining an interdisciplinary approach, essential for understanding and appropriating the various topics, with a disciplinary approach enabling students to relate their own discipline to the issues of sustainability and transition.

Faculty activity

 

 

Prerequisite knowledge and skills

Practical and critical approach to artificial intelligence in modern languages

No prior technical knowledge is required.

Scientific information literacy

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Planned learning activities and teaching methods

Practical and critical approach to artificial intelligence in modern languages

- Readings (press articles, academic papers, AI usage policies)

- Listening & viewing activities (podcasts, online courses)

- Tool testing 

- Use of pedagogical resources developed as part of the SERAFIN project.

- Discussions 

Scientific information literacy

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Sustainability and Transition course

Contents learned autonomously include:

  • Videos
  • Video transcripts
  • Additional resources (optional)

Faculty activity

 

 

Mode of delivery (face to face, distance learning, hybrid learning)

Practical and critical approach to artificial intelligence in modern languages

Face-to-face course

Scientific information literacy

Face-to-face course


Further information:

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Sustainability and Transition course

Remote course


Further information:

The teaching method is distance learning. The course is made up of several videos and recommends optional reading material.

Faculty activity

Face-to-face course


Further information:

activité facultaire : les mercredi 10 et jeudi 11 février 2027 (à confirmer).

Remarque : La participation à cette activité implique la suspension des cours pour les étudiantes concernées.

 

Course materials and recommended or required readings

Practical and critical approach to artificial intelligence in modern languages

Platform(s) used for course materials:
- eCampus
- MyULiège

Scientific information literacy

Platform(s) used for course materials:
- eCampus


Further information:

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Sustainability and Transition course

Platform(s) used for course materials:
- eCampus


Further information:

Videos, optional reading material and guidelines will be provided via the eCampus platform.

Faculty activity

Platform(s) used for course materials:
- eCampus


Further information:

 

 

 

Assessment methods and criteria

Exam(s) in session

Any session

- In-person

written exam ( multiple-choice questionnaire, open-ended questions )

- Remote

written exam ( multiple-choice questionnaire )

Written work / report

Continuous assessment


Further information:

Weighting of grade:



  • Approche pratique et critique de l'intelligence artificielle en langues modernes: 40%
  • Maitrise de l'information scientifique: 20%
  • Durabilité et transition (online course): 40%
  • Activité facultaire (workshops): OUI/NON

This teaching unit ("Unité d'enseignement," or UE) is subject to the principle of the "note absorbante," which means that the student obtaining a mark of 7/20 or less for one of the learning activities ("activités d'apprentissage," or AA) will receive a failing grade for the entire unit and will have to retake the failed AA in the second session regardless of the mathematical average of the respective AA grades.

Beware: if you get a "NON" for the Activité facultaire, this will automatically lead to a grade of 0/20 for the whole teaching unit.

Practical and critical approach to artificial intelligence in modern languages

Exam(s) in session

Any session

- In-person

written exam

Out-of-session test(s)


Further information:

Group presentation (out-of-session) (40%)

In-session written exam (60%)

Second exam session : students who did not complete the group presentation during the semester, as well as those wishing to improve their mark for this component, must also take an individual oral exam (60%) in addition to the written exam (40%).

One week before the oral exam, students must submit by email their presentation slides (PowerPoint or PDF format) together with a presentation outline including:  

  • the student's name;
  • the chosen topic;
  • the bibliographic references 
Submission of these documents by the deadline is a prerequisite for admission to the oral examination.

Les étudiant.es sont tenu.es de prendre connaissance de la Charte ULiège d'utilisation de l'intelligence artificielle dans les travaux universitaires afin d'en faire un usage réfléchi, responsable, critique et transparent : https://www.student.uliege.be/cms/c_19230399/fr/faq-student-charte-uliege-d-utilisation-des-intelligences-artificielles-generatives-dans-les-travaux-universitaires.
Si l'étudiant.e utilise l'intelligence artificielle*, il ou elle devra alors renseigner précisément son usage de l'IA dans une section dédiée : outil utilisé, prompt, type d'aide demandée (reformulation, synthèse, analyse, correction linguistique, etc...), résultats obtenus. Toute omission ou dissimulation d'un recours à l'IA pourra être considérée comme contraire aux règles d'intégrité académique.


*Par « IA », nous entendons les moteurs de traduction automatique (DeepL, GoogleTraduction...) et les agents conversationnels (ChatGPT, Copilot, Gemini, DeepSeek, etc.), ainsi que tout autre outil d'IA permettant de générer, synthétiser, analyser des données, etc.

Scientific information literacy

Written work / report

Sustainability and Transition course

Exam(s) in session

Any session

- Remote

written exam ( multiple-choice questionnaire )


Further information:

The course must be completed by May 3 2027 for the first session, and August 30 2027 for the second session

Faculty activity

Written work / report

Other : évaluation OUI/NON sur la base de la participation


Further information:

 

 

 

Work placement(s)

Organisational remarks and main changes to the course

Scientific information literacy

   

Faculty activity

   

 

Contacts

Practical and critical approach to artificial intelligence in modern languages

Perrine Schumacher

p.schumacher@uliege.be

Scientific information literacy

Maîtrise de l'information scientifique et critique des sources

Christophe Dony (ULiège Library, LL Germaniques): cdony@uliege.be

Sustainability and Transition course

Prof. Sybille Mertens (smertens@uliege.be) et Florianne Fassotte (ffassotte@uliege.be)

Faculty activity

Coordinators: Mathilde Mergeai (m.mergeai@uliege.be) & Julien Perrez (julien.perrez@uliege.be)

 

Association of one or more MOOCs