http://dl.gi.de/handle/20.500.12116/38656 2026-07-21T13:37:23Z 2026-07-21T13:37:23Z Tamborg, Andreas Lindenskov Elicer, Raimundo Spikol, Daniel http://dl.gi.de/handle/20.500.12116/38671 2022-05-30T09:00:18Z 2022-01-01T00:00:00Z

Programming and Computational Thinking in Mathematics Education Tamborg, Andreas Lindenskov; Elicer, Raimundo; Spikol, Daniel Artificial intelligence (AI) has become a part of everyday interactions with pervasive digital systems. This development increasingly calls for citizens to have a basic understanding of programming and computational thinking (PCT). Accordingly, countries worldwide are implementing several approaches to integrate critical elements of PCT into K-9 education. However, these efforts are confronted by difficulties that the PCT concepts are for students to grasp from purely theoretical perspectives. Recent literature indicates that the playful nature is particularly important when novices from both both early and higher education are to learn AI. These playful activities are characterised by setting a scene where PCT concepts such as algorithms, data processing, and simulations are meant to draw on to understand better how AI is integrated into our everyday digital life. This discussion paper analyses playful PCT resources developed around the game rock-paper-scissors developed in the UK and Denmark. Resources from these countries are interesting starting points since both have been or are in the process of integrating PCT as part of the K-9 curriculum. The central discussion raised by the paper, is the nature of the integration between mathematics and PCT in these tasks. These resources provide opportunities for discussion of how we may better integrate PCT and mathematics from the perspective of both subjects to build a solid foundation for a critical understanding of AI interactions in future generations.

2022-01-01T00:00:00Z Pinnis, Mārcis Busemann, Stephan Vasiļevskis, Artūrs Genabith, Josef http://dl.gi.de/handle/20.500.12116/38670 2022-05-30T09:00:18Z 2022-01-01T00:00:00Z

The German EU Council Presidency Translator Pinnis, Mārcis; Busemann, Stephan; Vasiļevskis, Artūrs; Genabith, Josef This contribution describes the German EU Council Presidency Translator (EUC PT), a machine translation service created for the German EU Council Presidency in the second half of 2020, which is open to the general public. Following a series of earlier presidency translators, the German version exhibits important extensions and improvements. The German EUC PT is the first to integrate systems from commercial vendors, public services, and a research center, using a mix of custom and generic translation engines, and to introduce a new webpage translation widget. A further important feature is the close collaboration with human translators from the German ministries, who were provided with computer-assisted translation tool plugins integrating machine translation services into their daily work environments. Uptake by the public reflects a huge interest in the service, showing the need for breaking language barriers.

2022-01-01T00:00:00Z Sarhan, Noha Lauri, Mikko Frintrop, Simone http://dl.gi.de/handle/20.500.12116/38669 2022-05-30T09:00:18Z 2022-01-01T00:00:00Z

Multi-phase Fine-Tuning: A New Fine-Tuning Approach for Sign Language Recognition Sarhan, Noha; Lauri, Mikko; Frintrop, Simone In this paper, we propose multi-phase fine-tuning for tuning deep networks from typical object recognition to sign language recognition (SLR). It extends the successful idea of transfer learning by fine-tuning the network’s weights over several phases. Starting from the top of the network, layers are trained in phases by successively unfreezing layers for training. We apply this novel training approach to SLR, since in this application, training data is scarce and differs considerably from the datasets which are usually used for pre-training. Our experiments show that multi-phase fine-tuning can reach significantly better accuracy in fewer training epochs compared to previous fine-tuning techniques

2022-01-01T00:00:00Z Dohn, Nina Bonderup Ragni, Marco http://dl.gi.de/handle/20.500.12116/38668 2022-05-30T09:00:18Z 2022-01-01T00:00:00Z

Expertise depends on reasoning through alternative scenarios Dohn, Nina Bonderup; Ragni, Marco

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