Duration
30h Th
Number of credits
| Master in education (120 ECTS) | 6 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
This lecture aims at initiating students to the most frequent statistical analyses in educational sciences
Learning outcomes of the learning unit
Students will have to demonstrate their capabilities to explain and interpret
1. Descriptive and inferential statistics (central tendency, despersion and association indices)
2. Regression models (linear, quadratic)
Prerequisite knowledge and skills
Deep understanding of the statistical tools listed in the "Learning outcomes" section
Planned learning activities and teaching methods
Lecture, seminar and groups and individual works
Mode of delivery (face to face, distance learning, hybrid learning)
Face to face and online teaching
Organisational adjustments related to the current health context
Recommended or required readings
none
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
Any session :
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
- Remote
written exam ( multiple-choice questionnaire, open-ended questions )
- If evaluation in "hybrid"
preferred in-person
Additional information:
Written examination with no notebooks
Work placement(s)
Organizational remarks
Students are not allowed to record the lecture
Contacts
Christian Monseur
++ 32 4 366 20 95
cmonseur@ulg.ac.be