Duration
15h Th, 30h Pr, 5d FT Tr. Pr.
Number of credits
| Master in history, professional focus in digital mediation of historical knowledge | 5 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The Digital Mediation of Historical Knowledge course aims to provide practical experience in the digital transmission of historical knowledge and to encourage in-depth reflection on the issues involved in this process.
Learning outcomes of the learning unit
At the end of this course, thanks to the knowledge acquired and tested through theoretical and practical inputs, students will be able to:
- Report on what exists in terms of digital mediation of historical knowledge.
- Create a digital mediation of historical knowledge.
- Reflect on and analyze the issues surrounding this mediation of historical knowledge.
Prerequisite knowledge and skills
Bac History
Planned learning activities and teaching methods
The course is structured in two parts:
Part 1: Understanding how historical knowledge is transmitted via digital media.
Part 2: Creating a digital object for mediating historical knowledge.
These learning methods will combine the following learning activities:
- Lectures.
- Oral presentations on examples of digital mediation of historical knowledge.
- Introductory workshops on alternative ways of writing history (writing workshop, online publication writing workshop, audio writing workshop, etc.).
- Practical exercises in the form of collective projects involving digital tools for historical knowledge mediation (writing a blog post, online publications, setting up and maintaining an online presence for the course, audio projects, etc.).
- Individual project involving a digital tool for historical knowledge mediation.
- Lectures by external speakers.
- Visits related to the course content.
- Active participation in various scientific events (conferences, study days, symposiums, etc.)
- ...
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Further information:
face-to-face or distancial in exceptional circumstances.
Course materials and recommended or required readings
Platform(s) used for course materials:
- eCampus
Exam(s) in session
Any session
- In-person
oral exam
Written work / report
Further information:
Assessment will be based on students' active participation throughout the lessons and on a final assignment in June. Points will be weighted as follows:
- Oral presentation on an example of digital mediation of historical knowledge: 10%
- Attendance and active participation in workshops: 20%
- Final assignment in the form of a digital object for the mediation of historical knowledge: 70%
- The presentation should last between 10 and 20 minutes
- It should be based on a PowerPoint-type presentation
- It will consist of a presentation of the object and an analysis of the mediation issues related to it.
Final assignment
- The final assignment is the creation of a digital object for the mediation of historical knowledge. This object can take any digital form.
- It will be accompanied by a reflective essay of no more than 5 pages (+ any appendices and bibliography).
- The assignment and reflective essay (in Word and PDF format) are to be sent by email to the teacher. If the format of the work requires it, other means of delivery may be arranged.
- The submission date is to be set no later than the first week of the June session, by mutual agreement between the students and the instructor.
- The work will be reviewed in the form of an individual oral exam during the session. This oral exam will allow the student to defend their work.
Defining the scope of use for Artificial Intelligence generative tools:
In order to ensure the acquisition of the historical skills specified in the learning objectives and in accordance with the institutional charter-which allows each programme to draw up a more restrictive framework than the default framework it defines-the only uses of a generative artificial intelligence tool that are permitted, subject to the explicit consent of the course lecturer, are:
- the use for the purpose of formal language improvement, i.e. exclusively for spelling and grammar correction, excluding any formulation or re-formulation;
- the use for the purpose of translating modern languages;
- the use for the translation of ancient languages - solely in cases where no academic 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.
- the use for the purposes of palaeographic transcription and the transcription of interviews relating to research work, including the final-year project.
Any other use will result in the exam being postponed. The voluntary, sincere and full disclosure of unauthorised use does not constitute grounds for avoiding this measure and does not invalidate the irregularity.
As the use Artificial Intelligence generative tools always entails the responsibility of the person using it, students must take full responsibility for any translations or corrections on which they rely and must duly declare any such use of Artificial Intelligence generative tools.
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 an 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 it, strictly within the limits specified above.
Work placement(s)
Organisational remarks and main changes to the course
As part of the course, one (or more) day trips could be organized.
Similarly, a two-day trip could be organized.
Contacts
Sophie.Richelle@uliege.be
Association of one or more MOOCs
There is no MOOC associated with this course.