3 credits
15.0 h + 30.0 h
Q1
Teacher(s)
Sobieski Piotr coordinator; Wertz Vincent coordinator;
Language
French
Prerequisites
Prerequisite : having acquired a sufficient level of proficiency in the subject area to be used as application area for this course and being accepted as a candidate for tutoring groups for a course in this subject area. Assessment: the student will be assessed on the basis of a report submitted by the internship supervisor and on the basis of the portfolio. Recommended reading: Jaques, D., Learning in Groups, Kogan Page, London, 1998. Forsyth, D. R., Group Dynamics (Fourth Edition), Wadsworth, Belmont, CA, 2005.
Main themes
. Main themes What is a group and what do we know about the behaviour of groups ? Communication within a group What is learning ? Objectives and aims of learning groups Roles and behaviours of tutors Assessment of group work.
Content
The course consists in: an introduction to the behaviour of learning groups and to the roles of a tutor; an "internship" as a teaching assistant or as a tutor to manage groups of learners for a course in a subject area of the student's choice (approval of a professor responsible for the course is required); the work will apply various pedagogical approaches developed at UCL and will be supervised by a "internship supervisor" in cooperation with the course's teacher; continuous education, as a complement to the tutoring activity, in order to stimulate reflection on the roles of the teacher and of the group facilitator for the course; readings on various themes of interest. The student is expected to build a portfolio during his/her tutoring activity.
Other information
Faculty or entity
EPL
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Data Science Engineering
Master [120] in Electro-mechanical Engineering
Master [120] in Electrical Engineering
Master [120] in Biomedical Engineering
Master [120] in Mathematical Engineering
Master [120] in Computer Science and Engineering
Master [120] in Chemical and Materials Engineering
Master [120] in Civil Engineering
Master [120] in Physical Engineering
Master [120] in Computer Science
Master [120] in data Science: Information technology
Master [120] in Mechanical Engineering