Digitalization and AI for Society, in Education and Educational Research (DAI-EaR’25)

Workshop at INFORMATIK FESTIVAL 2025 in Potsdam, 16.09. – 19.09.2025.

Aims & Scope

Societies today have to deal with multifaceted risks such as pandemics, geopolitical tensions, and virtual security risks. At the nexus of these risks computational social sciences, computing education and digital literacy are emerging as a critical political and societal lever for designing digitalized futures. In pursuit of an open society, open science and open source, this workshop addresses the transformative power of computational methods, including AI, not only in education, but also in society and labor markets by exploring interdisciplinary insights to questions of digital and open sovereignity, societal structures, and the evolving demands of labor markets.

Call for Papers

This workshop aims to comprehensively explore the intersection of computer science, computational methods, education research, sociological research, their respective methods and societal implications, with a special focus on digitalization and AI for and in society, education and educational research. It focuses on interdisciplinary perspectives on the design of an open society, open science and open source, examining aspects such as society, general education, labor markets, qualifications, vocational education and training, or adult education. In addition, the workshop encourages submissions that critically reflect on the application of digital methods in these research areas. The overarching goal is to understand how computational methods, especially AI, can be sensibly applied in the development of open, digital and sustainable societies and economies. Emphasis is placed on theoretical as well as empirical research, including data science methods and AI approaches applicable to recommender systems, digitized learning, and effective linking of digital resources.

Topics of interest include, but are not limited to:

Computational Social Sciences
Quantitative and qualitative research
Data science methods to analyse (vocational) education and labour market data
Digital methods and systems in education (e-learning, adult education, general, VET and academic education, etc.)
AI approaches for recommender systems and digitized learning
Linking of digital resources, a discussion of data sets, their quality and reliability, combining quantitative and qualitative data, anonymization and data protection.
We also welcome submissions focusing on a critical reflection of digital methods in labour market research, education and other research areas.

Special Topic: The Evolution of Vocational Education

This year’s focus will be on the history of vocational education and training. We will present the current state of the digitized occupations archive (Berufearchiv) at the Federal Institute for Vocational Education and Training (BIBB), which contains a variety of more than 100 years of historical regulations on vocational education and training (VET) and continuing vocational education and training (CVET), and invite research that focuses on the history of VET and CVET using digitized artifacts, but also research that focuses on the current transformation of VET and CVET due to digitization and AI.

Confirmed invited speakers:

Prof. Dr. Robert Helmrich (Universität Bonn, BIBB): “Beruf als identitätsstiftendes soziales Merkmal: Vom Kraftwerker zum Elektrolyseur”
Stefan Udelhofen (Universität zu Köln, BIBB): “Text-Mining von Aus- und Fortbildungsordnungen: Herausforderungen, Mehrwerte und Grenzen”
Petra Steiner (BIBB): “BIBB Berufearchiv”
Dr. Katrin Moeller (tentative, Institut für Geschichte – Universität Halle): “Ontologie historischer, deutschsprachiger Berufs- und Amtsbezeichnungen”

Submission

The workshop will consist of paper and poster presentations. Selected papers will be published in „GI-Edition: Lecture Notes in Informatics” (LNI). Submissions (6-16 pages for full paper, 3-6 pages plus references for poster presentation) must be written in English and follow the guidelines published at https://informatik2025.gi.de/ and https://gi.de/service/publikationen/lni.

Please submit your papers by email to dai-ear@bibb.de.

Important Dates:
29.04.2025 – Submission Deadline
31.05.2025 – Deadline Proceedings/Full Paper Submission
31.06.2025 – Publication of agenda

Workshop Organiser

Dr. Jens Dörpinghaus, BIBB & University of Koblenz, jens.doerpinghaus@bibb.de
Dr. Michael Tiemann, BIBB & University of Bonn, tiemann@bibb.de
Stefan Udelhofen, BIBB, stefan.udelhofen@bibb.de

Program Committee

Kristine Hein, BIBB
Petra Steiner, BIBB
Dr. Sylvia Melzer, Universität Hamburg
Dr. Christian Gerhards, BIBB
Thomas Asselborn, Universität Hamburg
Thomas Reiser, Universität Koblenz
Dr. Andreas Fischer, f-bb
Meetkumar Pravinbhai Mangroliya, Universität Koblenz
Stefan Winnige, BIBB
Dr. Tobias Maier, BIBB
Dr. Eduard Storm, IHS, Vienna