We provide relevant and up-to-date information and services for adult education/continuing education and study human information processing including perception and comprehension processes.
The Research Infrastructures department offers services for science, politics and practice in adult education/further education. We conduct research in the fields of Open Science and Adaptive Information Processing. The central research infrastructures are the statistics of adult education/further education and the DIE library. Our services are based on scientific findings as well as on current standards of open and transparent research.
In the area of statistics, we collect data on educational participation in adult education/further education relevant to educational reporting (in particular adult education and group statistics). We make this data available to interested parties from science, politics and practice. An analysis service complements the service.
The DIE library is the largest German-language special library in the field of adult education/further education. In addition to providing current literature (identification, procurement, indexing and provision), we provide extensive archives (archive of adult education programmes, legacy archive) for historical research on adult education and programmes. With our research data management we support scientific projects from the application to the permanent storage of the resulting research data. We make these available to science for subsequent use. In doing so, we are guided by the FAIR Data Principles.
We conduct research in the areas of adaptive information processing and open science. In the junior research group "Audiovisual Knowledge and Information Media" we investigate how teaching and learning videos can be optimally designed and how the critical use of videos as information media can be supported.
In the Research Infrastructures department, we work in interdisciplinary teams. In addition to librarians and specialists in media and information services, social and educational scientists, computer scientists and data analysts and statisticians work.
PD Dr. Markus Huff
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