Digital Transformation in Learning

Artificial intelligence and other emerging technologies are changing when, what, and how we learn in higher education and at the workplace. However, this transformation must not be one-sided or solely driven by technology. We focus on the learners and their learning process to ensure that they are not passive recipients, but are empowered to take responsibility for their own learning and solve the problems they face. 

In the PhD program for “Digital Transformation in Learning,” we develop intelligent technologies for active and project-based learning in collaboration with the PhD students, researchers, and professionals within our network. For example, we research technology-enhanced learning in terms of the social dynamics in interdisciplinary projects, the coordination of individual and collaborative learning, the integration of learning and regulation, the role of intelligent educational technologies on the learning process, and the role of emotions and well-being. Understanding these processes of active learning goes hand in hand with the design of effective learning practices within inclusive, transparent, and fair technology-enhanced learning environments. This way, we can transform how we learn and work to address societal and industrial challenges.  

The planned duration of the PhD program “Digital Transformation in Learning” is 4 years. An academic year comprises 60 ECTS credits, with one ECTS credit corresponding to 25 working hours. With 8 semesters, this sums up to 240 ECTS credits in total. The program can be extended as necessary.

Further information and the detailed curriculum are available on our website!

The IT:U Doctoral School enables young researchers to conduct independent research at a high international level, thereby contributing to technological and societal progress. The students learn to identify and analyze research gaps and societal issues and to find solutions through interdisciplinary approaches. They work on developing and implementing new technologies that drive digital transformation. In addition to subject-specific knowledge, interdisciplinary key competencies are also promoted to prepare students for leadership positions in academia, industry, or the public sector.