cookieImage
2026-2027 / HIST0093-1

Remembrance tourism and historical re-enactment, including the contribution of digital technology

Duration

45h Th, 5d FT Tr. Pr.

Number of credits

 Master in history, professional focus in digital mediation of historical knowledge5 crédits 

Lecturer

Philippe Raxhon, Sophie Richelle, Viktoria Von Hoffmann

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

This class aims to examine the intersections of history, tourism, and memory by exploring theoretical and practical insights relating to historical reconstruction in a variety of forms.

Learning outcomes of the learning unit

By the end of this course, building on the theoretical and practical knowledge acquired in class, students will be able to:

  • Understand the main memory-related challenges encountered by those involved in historical scholarship and tourism
  • Discern the various forms of historical reconstruction, their methods, their audiences and the issues at stake.
  • To develop a digital project at the intersection of history, tourism and issues of memory.

Prerequisite knowledge and skills

Acquired knowledge during a Bachelor's degree in History.

Planned learning activities and teaching methods

The course is organised into two strands :

  • Strand 1: An overview of current and past approaches to remembrance tourism and historical reconstruction.
  • Strand 2: Practical application through the creation of a historical and tourist trail
These teaching methods may combine the following learning activities:

  • Lectures providing an introduction to relevant topics (definitions, context, history, etc.);
  • A talk by an external speaker;
  • Reading secondary literature (possibly in English);
  • Individual and/or group reviews of secondary literature, presented orally and/or in writing.
  • Organisation of a guided tour;
  • Documentary research;
  • Participation in group discussions on work in progress;
  • Visits relevant to the course's content
  • Active participation in a variety of scientific events (conferences, study days, symposia, etc.)
  • ...
Students are warmly invited to share any points they do not understand during the course or to submit their questions by email. Depending on the nature of the questions asked, answers will either be provided by email or addressed in class. Individual appointments can also be arranged upon request.

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

Face-to-face course


Further information:

Option to switch to online or hybrid learning if circumstances require it

Course materials and recommended or required readings

Platform(s) used for course materials:
- eCampus


Further information:

Reading materials may be requested by students to ensure their active participation in course discussions.

Written work / report


Further information:

Assessment will be based on students' active participation throughout the lessons, as well as a final assignment in June. Grades will be weighted as follows:

  • Active participation in discussions following the lectures, based on the lectures and the recommended reading: 20%
  • Development of a group tourist itinerary (contribution to the overall design and individual development of several points of interest along the itinerary): 40%
  • Writing a reflective essay on the issues at the intersection of history, tourism, and memory.
Defining the scope of use for generative Artificial Intelligence tools:

To ensure the acquisition of the historical skills specified in the learning objectives and in accordance with the institutional charter, which allows each department to define a more restrictive framework than the default one, the only permitted uses of a generative AI tool are those explicitly consented to by the course lecturer, which are:

  • the improvement of formal language, i.e. spelling and grammar correction only, not formulation or re-formulation;
  • translation of modern languages;
  • translation of ancient languages, but only cases where no scholarly translation exists, and excluding exercises (in class or at home) and examination papers consisting specifically of translating a text from Latin or Ancient Greek (for which any use is strictly prohibited).
  • palaeographic transcription and transcription of interviews relating to research work, including the final-year project.
Any other use will result in the exam being postponed. Voluntary, sincere, and full disclosure of unauthorised use does not constitute grounds for avoiding this measure and does not invalidate the irregularity.

As using Artificial Intelligence generative tools always entails the responsibility for the person using them, students must take full responsibility for any translations or corrections on which they rely on and duly declare any such use.

Furthermore, such use must always be approved in advance by the course tutor and must be accompanied by a critical methodological note on the relevance and terms of this technical use of Artificial Intelligence generative tools.

In any written work, students must therefore declare on their honour, in an introductory note:

  • either that they have not used Artificial Intelligence generative tools at all;
  • or that they have used them strictly within the above-specified limits.

Work placement(s)

Organisational remarks and main changes to the course

As part of the course, one (or more) day trips may be organised.
Similarly, a two-day trip could be organised.

Contacts

Sophie Richelle : Sophie.Richelle@uliege.be
Viktorian Von Hoffmann : V.VonHoffmann@uliege.be 
Philippe Raxhon : P.Raxhon@uliege.be 

Association of one or more MOOCs