{"id":718,"date":"2026-02-06T19:10:39","date_gmt":"2026-02-06T18:10:39","guid":{"rendered":"https:\/\/wp.uni-koblenz.de\/cssbibb\/?page_id=718"},"modified":"2026-03-13T15:06:53","modified_gmt":"2026-03-13T14:06:53","slug":"4th-workshop-on-digitalization-and-ai-for-society-in-education-and-educational-research-dai-ear26","status":"publish","type":"page","link":"https:\/\/wp.uni-koblenz.de\/cssbibb\/4th-workshop-on-digitalization-and-ai-for-society-in-education-and-educational-research-dai-ear26\/","title":{"rendered":"4th Workshop on Digitalization and AI for Society, in Education and Educational Research (DAI-EaR\u201926)"},"content":{"rendered":"\n

Workshop at INFORMATIK FESTIVAL 2026 <\/a>in Dresden, 22.09. \u2013 25.09.2026.<\/p>\n\n\n\n


Aims & Scope<\/strong>

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.<\/p>\n\n\n\n

Call for Papers<\/strong>

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:<\/p>\n\n\n\n