Digitalization in Aesthetic, Arts and Cultural Education – a Quantitative-Empirical Research Synthesis [DiKuBi]

Symbolic picture for the article. The link opens the image in a large view.

[DiKuBi: Digitalisierung in der kulturellen Bildung – quantitativ-empirische Forschungssynthese]

Principal Investigators: Stephan Kröner, Benjamin Jörissen
Staff: Marcus Penthin, Alexander Christ
Period: 2017-2022
Funding: Federal Ministry of Education and Research










This is a meta-project, encompassing monitoring of the individual sub-projects, research syntheses and outreach related to the BMBF-funded priority programme on digitalization in cultural education. Its aim is to synthesize available evidence from international research on digitalization in cultural education, including that provided by the projects funded in the priority programme. Moreover, we monitor and support the individual research projects within the programme. This includes facilitation of networking among the funded projects as well as with national and international researchers in the field. The meta-project provides young scientists from the priority program with methodological support (courses on research methods and junior researcher conferences), as well as with inspiration and networking opportunities. Moreover, based on the notion of open science, we provide the projects in the priority programme with support for research data management. Publications and events targeted at a broader expert audience help to promote the meta-project’s results.

Digitalisation in aesthetic, arts and cultural education (D-ACE) is a loosely defined and fragmented field, requiring reviewing in research syntheses. Thus, we develop comprehensive search strategies to compile the international research literature on D-ACE, harnessing big data methods like text mining and predictive modelling. This strategy extends to (1) identifying topics with many original publications that are in need of a synthesis (so-called “hot spots”), (2) synthesizing the studies related to the most vibrant hot spots and (3) determining the level of evidence of existing research within the hot spots.