Learning Technologies


Course Organization

The course follows a Flipped Classroom concept. The RWTHmoodle course room is already fully equipped with video lectures and additional interactive learning materials. There will be an introductory Zoom lecture as well as a summary, and 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 in the first Zoom meeting. You will use Learning Technologies while learning about their underlying theories, methods, and design principles.


Learning Technology Research and Engineering is an interdisciplinary field involving competencies 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 suit the new challenges for informal learning processes as they take place in lifelong 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.

Additional Information

  • Level: M.Sc.
  • Offered in: Summer semester
  • L3+E2
  • Course language: English

The module is part of the specialization area Data and Information Systems. See the Module Catalogue and RWTHOnline for additional information on exam regulations, credits, lecture hours et cetera.