Digital technologies and the internet influence all areas of life and place new demands on education and training. Our goal is to accompany, explore and formulate recommendations for the entire path of an individual as a knowledge carrier in the digital world. Related research focuses include relevant competencies, approaches to digital education in the classroom, possibilities for designing digital learning opportunities, avoiding devaluation and supporting the upgrading of vocational qualifications.
The requirements in dealing with new technologies are changing increasingly. The corresponding competence training begins during school education and is continued within training and further vocational education. This constitutes a challenge for research at various levels. The question arises as to which competencies are necessary and relevant in a digital world. Furthermore, it is crucial to examine how these competencies can be acquired. When disseminating usage knowledge, background knowledge or social impact assessment, the differentiation of knowledge dissemination (e.g. according to educational background, age and experience) is examined.
The questions will be addressed using different methods, e.g. the collection and analysis of the dimensions of digital education in schools and the design and testing of individualised and group-based teaching and learning scenarios. The relevant topics are taken up in supervised dissertation projects.
The research group focuses in particular on the following questions:
We pursue a design - oriented approach based on empirical knowledge and consequently use these insights in order to design teaching and learning processes on an individual and group level. We also investigate how the theoretical foundations of knowledge and learning change or have to change. Additionally, we examine how and whether machines and artificial intelligence are regarded as knowledge carriers. Finally, we strive for an understanding of where the peculiarities and possible limits of knowledge transfer between man and machine lie.
We cooperate with research institutions, are present at international conferences with workshops and presentations, and use research findings to shape our university teaching.
Research Group Lead
Research Group Assistant
Research Group Assistant
Doctoral Researcher (external)
Le, N. T./Pinkwart, N. (2017): K-12 Computational Thinking Education in Germany. In: Proceedings of the International Conference on Computational Thinking Educati- on 2017 (CTE2017), The Education University of Hong Kong, Massachusetts Institute of Technology, and City University of Hong Kong, S. 39–43.
Rüdian, S./Pinkwart, N./ Liu, Z. (2018): I Know Who You Are: Deanonymization Using Facebook Likes. In: GI Informatik, Workshop: Security & Privacy at Large, Berlin: Gesellschaft für Informatik.
Rüdian, S./Liu, Z. / Pinkwart, N. (2018): Comparison and Prospect of Two Heaven Approaches: SVM and ANN for Identifying Students' Learning Performance in 7th International Conference of Educational Innovation (EITT2018), New Zealand, Dez. 2018
Teichmann, M./ Matthiessen, J./ Vladova, G. (2019). You are too old (not) to learn – a critical consideration of older "employees”. In: Proceedings of the 2nd Weizenbaum Conference – Challenges of digital inequality. Berlin, May 2019
Teichmann, M./ Ullrich, A./Gronau, N. (2019). Subject-oriented learning - A new perspective for vocational training in learning factories. In: Proceedings of the Procedia Manufacturing 31C. Elsevier.
Ullrich, A./Enke, J./Teichmann, M./Kreß, A./Gronau, N. (2019). Audit - and then what? A roadmap for digitization of learning factories. In: Proceedings of the Procedia Manufacturing 31C. Elsevier.
Brandenburger, B./Vladova, G. (2019). The Potential of Making for Enhancement of Digital Competencies in Higher Education. On the way of a concept development. In: Proceedings of the FabLearn Europe Conference 2019. Oulu, Finnland, May 2019
Vladova, G./Wotschack, P. (2019). Unequal training participation and training experience at the digital work place - an interdisciplinary study. In: Proceedings of the 2nd Weizenbaum Conference – Challenges of digital inequality. Berlin, May 2019
Vladova, G./Haase, J./Rüdian, S./Pinkwart, N. (2019). Educational Chatbot with Learning Avatar for Personalization. In: Proceedings of the 25. American Conference of Information Systems (AMCIS), August 2019, Cancun, Mexico (accepted).
Gronau, N./Ullrich, A./Bender, B. (2017). Anwendungszentrum Industrie 4.0 – Szenariobasiertes Lernen im Industrial Internet of Things-Labor. In: Gronau, N. (Hg.): Industrial Internet of Things in der Arbeits- und Betriebsorganisation, Berlin: GITO-Verlag, S. 1–24.
Bender, B./Teichmann, M./Ullrich, A. (2017). Mobile IoT-Technologien als Erfolgsfaktor für Fertigung und Lernszenarien – Systematisierung und Anwendung. In: Gronau, N. (Hg.): Industrial Internet of Things in der Arbeits- und Betriebsorganisation, Berlin: GITO-Verlag, S. 233–255.
Gronau, N./Ullrich, A./Teichmann, M. (2017). Development of the Industrial IoT Competences in the Areas of Organization, Process, and Interaction Based on the Learning Factory Concept. In: Procedia Manufacturing 9C. Elsevier, S. 294–301. DOI: 10.1016/j.promfg.2017.04.029.
Kluge, A./Gronau, N. (2018): Intentional Forgetting in Organizations: The Importance of Eliminating Retrieval Cues for Implementing New Routines. In: Frontiers in Psychology, 9 (51), S. 1–17, available online: https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00051/full
Liu, Z./Pinkwart, N./Liu, H./Liu, S./ Zhang, G. (2018). Exploring Students’ Engagement Patterns in SPOC Forums and their Association with Course Performance“. In: EURASIA Journal of Mathematics, Science and Technology Education, 7(15), S. 3143–3158.
Teichmann, M./Ullrich, A./Bender, B./Gronau, N. (2018). Mobile IIoT-Technologien in hybriden Lernfabriken - Szenariobasierte Entwicklung von Handlungskompetenz im Anwendungszentrum Industrie 4.0. Industrie 4.0 Management, 2018(3), S. 21-24.
Teichmann, M./ Ullrich, A./Kotarski, D./Gronau, N. (2019) Herausforderungen altersgerechter Weiterbildung. Potenziale mobiler IIoT-Technologien im arbeitsgebundenem Lernen. Industrie 4.0 Management, 2019(2), S. 23–26.
Next Research Group