The Professorship of Educational Technology, with Professor Dr. habil. Christoph Igel as Scientific Director, is dedicated to researching professional education and qualification using innovative software technologies. Particular attention is paid to the interaction between technological, organisational and educational development in a digital, networked world. Its research, development and innovation activities are completed in close collaboration with the German Research Center for Artificial Intelligence (DFKI), where Professor Igel heads the Educational Technology Lab (EdTec) at the Berlin site.
An international team of scientists, software and system developers, and strategic and specialist consultants work together to actively shape new education and qualification technologies through application-oriented research, prototype development and concept design. They focus on the challenges for education and qualification in industry 4.0 and the platform economy, medicine, nursing and emergency services, safety management and prevention, professional and amateur sport, and intelligent education networks in cities and regions. A focal point is the active, self-directed, social teaching and learning process paired with the increasing capabilities of ubiquitous hardware and software and networking via the internet of things, services and data.
The fundamentals of education technologies and web-based information and knowledge management are passed on through studies, teaching and further training. Focal points of research, development and innovation include technologies that use artificial intelligence to enable services to be adapted to the learner, their learning objectives, their skills and experience, their social context, and their individual working and learning environment, thus allowing for the provision of personalised learning opportunities. This operates in areas such as:
- intelligent mobile assistance systems that provide information on a just-in-time, context-sensitive basis;
- web-based knowledge services that compile learning content adapted to the learner;
- immersive learning environments where learners operate in multimodal education spaces;
- semantic knowledge platforms that facilitate collaboration and the exchange of knowledge;
- adaptive self-assessments that complete psychologically founded interest and aptitude tests.
New topics for research internships, bachelor’s theses and master’s theses are continuously being offered up in these and other areas for students of all computing courses. There is also an opportunity to undertake doctoral and postdoctoral work. The Professorship’s research and development activities are put to use in HR development for DAX companies, small and medium-sized enterprises, state and federal ministries, foundations, chambers and associations.