The CRC Winter’s Lecture Series: Learning (in) Digital Media
How are learning and digital media connected? And how are digital media shaping practices of learning? Nowadays many aspects of life aren’t imaginable anymore without digital media, including the area of learning. This winter’s lecture series of the Collaborative Research Center (CRC) “Media of Cooperation” focuses on “Learning (in) Digital Media”.
Processes of learning are a locus of organization, stabilization as well as perturbation of societal structures. Digital media transformed the parameters of communal practice and participation leading to re-situate practices of learning into settings that are infrastructurally stabilized, yet locally and socially distributed. This established new communities of practice. Furthermore, conventional notions of learning are being challenged by recent interest in machine learning in the field of artificial intelligence. The changing technologies of cooperation, instruction, and learning are also affecting the conditions of collaboration in social and cultural realms, challenging or reinforcing power asymmetries. It becomes more and more difficult to trace hierarchies of knowledge and modes of political power within techniques and technologies of learning and cooperation. Yet the actual process of learning remains a communal practice, in which results of interaction cannot be fully predetermined.
The CRC’s lecture series aims at examining the cooperative production of “learning” as a media and data practice in its different aspects: from the learning subjects, organizations and data practices involved in learning processes to self-learning systems and artificial intelligence. We invited several scholars from different fields of research to inquire the practices and concepts of cooperative learning and learning in cooperation from various perspectives.
12.10.2021 Rainer Mühlhoff: “Human-Aided Artificial Intelligence: Machinic capture of human labor in contemporary media culture”
19.10.2021 Katharina Rohlfing: “Scaffolding and monitoring: Aspects of learning in the social design of explainable AI systems”
02.11.2021 Inga Gryl, Helena Atteneder: “Towards a maturity-oriented education on the algorithms behind geomedia technologies”
09.11.2021 Petra Missomelius: “’Digital education” and the IT industry”
16.11.2021 Niels Kerssens: “Governed by edtech? Valuing educational autonomy in a platform society”
23.11.2021 Gabriele Gramelsberger: “Collaborating with machines: Researchers Meet ML-Algorithms”
30.11.2021 Florian Jaton: “On ground truths, biases, and morality in machine learning design and application”
14.12.2021 Jen Ross: “Speculative approaches, cultures of surveillance, and digital futures in higher education”
18.01.2022 Caroline Sinders: “Feminist Data Set”
01.02.2022 M. Beatrice Fazi: “Causality and the Future of Deep Learning”
The lecture series takes place as a hybrid event with on-site participation and online access. The zoom link for the lecture will be made available in good time via the SFB’s mailing list. Guests can register with Damaris Lehmann by email. Send an email