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Fiches de cours
Digital education & learning analytics
CS-411
Enseignant(s) :
Dillenbourg PierreJermann Patrick
Langue:
English
Summary
This course addresses the relationship between specific technological features and the learners' cognitive processes. It also covers the methods and results of empirical studies on this topic: do student actually learn due to technologies?Content
Learning theories and learning processes. Instructional design: methods, patterns and principles. Orchestration graphs. On-line education. Effectiveness of learning technologies. Methods for empirical research. Learning analytics. History of learning technologies.
Keywords
learning, pedagogy, teaching, online education, MOOCs
Learning Prerequisites
Recommended courses
One of these courses is recommended:
- Machine Learning (Jaggi / Urbanke)
- Applied Data Analysis (West)
Learning Outcomes
By the end of the course, the student must be able to:- Describe the learning processes triggered by a technology-based activity
- Explain how a technology feature influences learning processes
- Elaborate a study that measures the learning effects of a digital environment
- Select appropriately a learning technology given the target audience and the expected learning outcomes
- Apply machine learning methods to educational traces
Transversal skills
- Set objectives and design an action plan to reach those objectives.
Teaching methods
The course will combine participatory lectures with a project around learning analytics
Expected student activities
The project will include several milestones to be delivered along the semester.
Assessment methods
- Project + exam
- 50 / 50
Supervision
Office hours | No |
Assistants | Yes |
Forum | Yes |
Resources
Moodle Link
Dans les plans d'études
- SemestreAutomne
- Forme de l'examenOral
- Crédits
4 - Matière examinée
Digital education & learning analytics - Cours
2 Heure(s) hebdo x 14 semaines - Projet
2 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenOral
- Crédits
4 - Matière examinée
Digital education & learning analytics - Cours
2 Heure(s) hebdo x 14 semaines - Projet
2 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenOral
- Crédits
4 - Matière examinée
Digital education & learning analytics - Cours
2 Heure(s) hebdo x 14 semaines - Projet
2 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenOral
- Crédits
4 - Matière examinée
Digital education & learning analytics - Cours
2 Heure(s) hebdo x 14 semaines - Projet
2 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenOral
- Crédits
4 - Matière examinée
Digital education & learning analytics - Cours
2 Heure(s) hebdo x 14 semaines - Projet
2 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenOral
- Crédits
4 - Matière examinée
Digital education & learning analytics - Cours
2 Heure(s) hebdo x 14 semaines - Projet
2 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenOral
- Crédits
4 - Matière examinée
Digital education & learning analytics - Cours
2 Heure(s) hebdo x 14 semaines - Projet
2 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenOral
- Crédits
4 - Matière examinée
Digital education & learning analytics - Cours
2 Heure(s) hebdo x 14 semaines - Projet
2 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenOral
- Crédits
4 - Matière examinée
Digital education & learning analytics - Cours
2 Heure(s) hebdo x 14 semaines - Projet
2 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenOral
- Crédits
4 - Matière examinée
Digital education & learning analytics - Cours
2 Heure(s) hebdo x 14 semaines - Projet
2 Heure(s) hebdo x 14 semaines
- Semestre
Semaine de référence
Lu | Ma | Me | Je | Ve | |
---|---|---|---|---|---|
8-9 | CHB330 | ||||
9-10 | |||||
10-11 | CHB330 | ||||
11-12 | |||||
12-13 | |||||
13-14 | |||||
14-15 | |||||
15-16 | |||||
16-17 | |||||
17-18 | |||||
18-19 | |||||
19-20 | |||||
20-21 | |||||
21-22 |
Cours
Exercice, TP
Projet, autre
légende
- Semestre d'automne
- Session d'hiver
- Semestre de printemps
- Session d'été
- Cours en français
- Cours en anglais
- Cours en allemand