Special Stream on Digital Education and Engineering Education

Since many years, researchers bring learning to the digital world. Technology Enhanced Learning approaches support both teachers and learners. The research field addresses the generation of innovative content as well as approaches such as active or individualized learning or learning in groups. Methods of Learning Analytics and Artificial Intelligence help to analyze and optimize learning processes from content conception to learner evaluation.

The special stream provides a discussion for recent advances in this area, addressing both theoretical and applied implemented approaches. We invite authors to submit original and previously unpublished research papers in the following and related topics.

Topics include, but are not limited to:

  • Technology Enhanced Learning
  • Computer supported collaborative learning
  • Individualized Learning
  • AI for Technology Enhanced Learning
  • Learning Analytics
  • Digital Education Ecosystem
  • Didactics for Digital Education
  • Didactics for Engineering Education
  • Distant Learning
  • Online Evaluation of Learners

Co-Chairs

  • Andrea Kienle, Dortmund University of Applied Sciences and Arts, Germany
  • Peter Arras, KU Leuven, Belgium
  • Galyna Tabunshchyk, Dortmund University of Applied Sciences and Arts, Germany

IPC Committee (in alphabetical order)

  • Irene Chounta, University of Duisburg-Essen, Germany
  • Albrecht Fortenbacher, University of Applied Sciences Berlin, Germany
  • Joerg Haake, Distance-Learning University Hagen, Germany
  • Andreas Harrer, Dortmund University of Applied Sciences and Arts, Germany, Germany
  • Christian Kohls, University of Technology Cologne, Germany
  • Andreas Lingnau, University of Applied Sciences Ruhr West, Germany
  • Natalia Morze, Borys Grinchenko Kyiv University, Ukraine
  • Rene Röpke, RWTH Aachen University, Germany
  • Niels Seidel, Distance-Learning University Hagen, Germany
  • Michael Striewe, University of Duisburg-Essen, Germany
  • Wim Van Petegem, KU Leuven, Belgium
  • Raphael Zender, Humboldt University Berlin, Germany
Important Dates

Extended Abstract Submission:
15 May 2023
01 June 2023

Notification of Extended Abstract Acceptance:
30 June 2023
23 July 2023

Camera Ready Papers:
20 July 2023
30 July 2023

Social Networks
Sponsors and Partners
Organized and Sponsored by:
Dortmund University of Applied Sciences and Arts, Dortmund, Germany
Faculty of Computer Information Technologies, West Ukrainian National University
IEEE Germany Section I&M Society Chapter
IEEE Ukraine Section I&M / CI Joint Societies Chapter