This course introduces trainers in the life sciences to learning principles, training techniques, lesson, session, course, and material design as well as assessment and feedback. This course is has been developed for by trainers in the bioinformatics but is suitable for all trainers and educators in higher education. It is part of the ELIXIR Train the Trainer programme.
PhD candidates that enrolled through the Doctoral School for Science and Engineering (DSSE) will receive 1 ECTS, which requires handing in a short project and completing the course in full.
- To get acquainted with learning principles and how they apply to training
- To be able to select and utilise training techniques that can be used to enhance learner engagement and participation
- To learn how to use assessment and feedback in training
- To learn about session, course, and materials design
- Learners can tell which learning principles a good trainer should have in mind
- Learners can describe at least three training techniques drawing on learning principles
- Learners can design a training session and a course
- Learners can develop assessment questionnaires
- Learners can tell what types of material are needed for each part of a training session
Participants in this course are involved in teaching or training to scientists, Master-level and above.
The schedule below is preliminary and subject to minor changes of begin and end of sessions.
Thursday, 12 December 2019
|09:30 - 10:00||Introductions, who is who and what we need to achieve|
|10:00 - 13:00||Session 1: Review of learning principles and how they apply to training|
|13:00 - 14:00||Lunch|
|14:00 - 18:00||Session 2: Training techniques that can be used to enhance learner engagement and participation|
Friday, 13 December 2019
|09:00 - 12:30||Session 3: Session, course, and materials design|
|12:30 - 14:00||Lunch|
|14:00 - 18:00||Session 4: Assessment and feedback in training|
Registration is free but the course is limited to 20 participants. Please register before 22 November 2019 to secure a spot. We will inform participants by 25 November 2019.
Mateusz Kuzak (Dutch eScience center)
Roland Krause (University of Luxembourg, Elixir-Luxembourg)
Luxembourg Learning Centre
University of Luxembourg, Esch-sur-Alzette