Current information concerning summer term 2020
The course originally was planned for a Flipped Classroom concept. Due to the corona virus we will teach FULLY online. Starting 7th April, 16:30 with a zoom lecture. The RWTHmoodle course room is already fully equipped with video lectures and additional interactive learning materials. There will be accompanying 5 mandatory tutorial sessions for reflection, questions and discussions and hands-on demonstrations. Everything else is self-organized (within the given timeframe for the exercises).
Please register to the course. Everything is explained in detail in the course room and will be introduced 7th April. You will use LEarning Technologies while learning about their underlying theories, methods and design principles.
Also, see the video introduction of last years course.
Lerning Technology Research and Engineering is an interdisciplinary field involving competences from cognitive psychology, pedagogy, economy and computer science. The first part of the course will introduce learning theories and their implications to elearning content and system design. Instructional design theories, theories about motivation and principles for multimedia learning are the theoretical foundations for elearning content design and the elearning design process.
The second part of this lecture takes a look at new learning theories better suiting the new challenges for informal learning processes as they take place in life long learning utilizing social software and user generated content. The course will introduce emerging technologies for implementing systems and components for open and networked learning such as personal learning environments, in short PLE.
The assignments take the form of practical lab courses. The task will be to develop components for innovative learning environments utilizing emerging technologies and following a learner-centered approach. This year the focus is on Learning Analytics for game-based learning environments.
- Level: M.Sc.
- Offered in: Summer semester
- Course language: English
The module is part of the specialization area Data and Information Systems. See the Module Catalogue and Campus Office for addtional information on exam regulations, credits, lecture hours et cetera.