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Teaching in the Age of AI: Understanding, Experimenting, Transforming

Version française

Discover the new AI & Teaching sessions, designed to support you in exploring the use of AI in your teaching practices at UNIL.

Five targeted themes
To address the challenges of AI in teaching through concrete examples.

Flexible formats
Each theme is offered three times (2 in person, 1 online).

Free choice
Take part in one or several themes according to your availability and interests.*

*An attestation is delivered upon completion of the full cycle.

Session calendar

In-person sessions take place from 12:15 to 13:15 (in French and English), and online sessions from 16:30 to 17:30 (in English). Each session is limited to 20 participants. A detailed description of each theme is provided below.

IN PERSON – FR
12:15-13:15

IN PERSON – EN
12:15-13:15

ONLINE – EN
16:30-17:30

1. Introduction to AI and its Impact on Teaching

30.09.2025

14.10.2025

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17.10.2025

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2. Mastering the Art of Prompting for Teaching: Communicating Effectively with AI

09.10.2025

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29.10.2025

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06.11.2025

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3. Developing AI Skills: Cross-Perspectives for Teachers and Students

03.11.2025

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12.11.2025

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18.11.2025

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4. Designing Teaching Activities with AI

14.11.2025

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20.11.2025

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4.11.2025

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5. Rethinking Assessment in the Age of AI

25.11.2025

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02.12.2025

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08.01.2026

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An active and collaborative approach

This serie of 1-hour sessions aims to foster a better understanding of the implications of AI and to explore suitable pedagogical uses. Designed as spaces for exchange, these sessions are built around concrete case studies and collective reflection.

An attestation of participation will be delivered to those who complete the full cycle.

Learn more about the training

For the past two years, the emergence of artificial intelligence (AI) has been challenging our educational paradigms, particularly in higher education. To help you address the questions raised by the presence of AI in our teaching and learning environment, we are offering a series of events focused on exploring and making informed use of these new technologies. This training course is structured around six complementary thematic sessions, offering a progressive programme that combines theoretical foundations, practical experimentation and collaborative reflection. It is designed in a modular format so that you can attend the workshop(s) that best suit your needs.

Our teaching approach favours gradual immersion, from understanding the fundamental principles of AI to their practical application in teaching and assessment. Each workshop is designed as a privileged space for exchange where participants can share their experiences, enrich their teaching methods and collectively develop innovative approaches.

The program is structured around five key themes:

  • Understanding the basics of AI and its implications for education
  • Mastering effective communication with AI system
  • Develop AI skills among students and teachers
  • Designing creative learning activities using AI
  • Reassessing assessment methods in the digital age

The trainer(s)

Jean-François Van de Poël

Digital Learning Assistant at the CSE & AI Teaching Advisor – University of Lausanne

Jean-François Van de Poël is Digital Learning Assistant at the CSE. Active for more than 20 years in the field of educational technologies, he has held positions as educational advisor, instructional designer, digital project coordinator (Virtual Campus, MOOCs, etc.), and external consultant. He holds Master’s degrees in Educational Sciences (University of Strasbourg), Educational Technology (University of Geneva), and Higher Education Pedagogy (University of Liège). He is currently dedicated to the integration of artificial intelligence in higher education.

Modality

The cost of this training is fully covered for members of the UNIL community.

For teachers of medical courses, a tailor made training program is offered by the Medical Pedagogy Unit (UPMed).

The training is also open to members of the RCFE (University of Geneva, University of Fribourg, University of Neuchâtel, and École Polytechnique Fédérale de Lausanne). In-person participation is mandatory. The cost of this training is fully covered for RCFE members.

A progressive cycle combining theory, practice, and collaborative reflection!

Each session can also be attended independently.

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Detailed themes

1. Fundamentals of AI

Introduction to AI and its Impact on Teaching

This opening session offers a detailed exploration of artificial intelligence in the context of higher education. Participants will discover the fundamentals of AIG, including how LLMs work and their current applications, as well as their implications for teaching and learning. The workshop will address key issues related to the presence of these technologies in our teaching practices and will present the main software available, such as ChatGPT, Copilot, Claude and GEMINI.

Objectives:

  • Identify the key concepts of generative artificial intelligence and how they work (LLM, etc.).
  • Understand the challenges and implications of AI for teaching practices in higher education.
  • Explore available AI tools (ChatGPT, Copilot, Claude, Gemini) and assess their potential for teaching.

2. Dialogue techniques

Mastering the Art of Prompting for Teaching: Communicating Effectively with AI

This session is dedicated to acquiring the skills needed to interact effectively with AI systems. Participants learn how to formulate precise instructions (prompts) and optimise their interactions to obtain relevant results in their specific teaching contexts.

The prompting techniques proposed will be contextualised in the use of GAI as a teaching aid for tasks such as helping to write course syllabuses, proposing teaching strategies and adapting assessments.

Objectives:

  • To learn the principles of formulating effective prompts for generative AI tools.
  • Experiment with uses of AI for the preparation of educational content (syllabi, activities, assessments).
  • Develop a critical stance towards AI-generated results in an educational context.

3. AI skills

Developing AI Skills: Cross-Perspectives for Teachers and Students

This session addresses the skill sets required for the thoughtful integration of AI into higher education. The workshop draws on international reference frameworks (UNESCO and EDUCAUSE) to analyse the skills required from both teachers and students and to consider the best way to develop them in courses where AI proficiency is necessary and complementary to the disciplinary objectives pursued.

Objectives:

  • Identify essential AI skills for teachers and students.
  • Consider teaching from a shared and hybrid human/AI skills perspective.
  • Develop ideas for integrating the development of these skills into your own courses.

4. Innovative activities

Designing Teaching Activities with AI

This session addresses the integration of AI in the design of interactive teaching activities. The workshop will offer practical approaches to enriching the learning experience of students through the thoughtful use of AI technologies, with a focus on those available to teachers as part of the digital toolkit for teaching.

Objectives:

  • Identify the potential contributions of AI in the design of teaching activities adapted to your teaching context.
  • Experiment with the use of AI tools to create interactive or differentiated learning scenarios.
  • Develop a first draft of a teaching activity integrating AI, in line with course objectives.

5. Assessment practices

Rethinking Assessment in the Age of AI

This final session examines the questioning of assessment practices in a context where AI is increasingly present. Using the PRAX-IA model developed by the Teaching and Learning Support Centre (CSE), participants will explore various tips and resources related to positioning their assessment practices around the presence of generative AI.

Objectives:

  • Identify the risks and opportunities associated with the use of AI in assessment practices.
  • Learn how to use the PRAX-IA model to position your assessment practices in an AI context.
  • Develop ways to adapt your assessments to new student uses of AI.

Interested in exploring AI in your teaching?

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References

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