The last few years have witnessed a growing recognition of the educational potential of computer games. However, it is generally agreed that the process of designing and deploying technology enhanced learning resources generally and games for mathematical learning specifically is a difficult task. The Kaleidoscope project Learning patterns for the design and deployment of mathematical games aims to investigate this problem. We work from the premise that designing and deploying games for mathematical learning requires the assimilation and integration of deep knowledge from diverse domains of expertise including mathematics, games development, software engineering, learning and teaching. We promote the use of a design patterns approach to address this problem.
Our latest outcome is a draft pattern language, which addresses both the process of designing and deployning games for learning and the structure of such games. Our pattern language is suggested as an enabling tool for good practice, by facilitating pattern-specific communication and knowledge sharing between participants. We provide a set of trails as a 'way-in' to using the learning pattern language.
In this talk we review the theoretical foundations of our work, demonstrate the language by following one of the 'trails' through it, and illustrate how this language could be used in a participatory design methodology. We also direct participants to our on-line interactive tools, which allow them to engage with our work beyound the scope of the talk.
Temporal knowledge graphs allow to store process data in a natural way since they also model the time aspect. An example for such data are registration processes in the area of intellectual property protection. A common question in such settings is to predict the...
Knowledge graphs play a crucial role in storing and reusing domain knowledge for data analytics. For example, knowledge graphs can be used to model security domain knowledge (such as technical standards) to support software architects in developing secure software systems. Assessing and assuring the quality of the data in these graphs is critical to enable trust in the use of this machine-readable domain knowledge, and to ensure high-quality results for downstream tasks that build on this knowledge. In this paper, we present a visual data quality dashboard, which allows domain experts to verify the quality of their domain knowledge graph along different dimensions. We demonstrate the use of the dashboard by means of a previously built security knowledge graph.
This paper gives an overview of the history, development, and structure of the electronic thesauri produced and maintained by the Getty Research Institute (GRI). We describe the evolution of the Art & Architecture Thesaurus (AAI®), the Getty Thesaurus of Geographic Names (TGN®), and the Union List of Artist Names (ULAN®) as multilingual, cross-cultural knowledge organization systems (KOS); the factors that make them unique; and their potential, when expressed as Linked Open Data (LOD) to play a key role in the Semantic Web.
Koraljka Golub, Pawel Michal Ziolkowski and Goran Zlodi. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
Human-AI collaboration in industrial manufacturing promises to overcome current limitations by combining the flexibility of human intelligence and the scaling and processing capabilities of machine intelligence. To ensure effective collaboration between human and AI...
Blood is a fundamental element of human life, often described as the "river of life." It courses through our veins and arteries, serving multiple crucial roles in maintaining our health and wellbeing. As a chiropractor with a deep appreciation for the body's natural healing...
M. Li, Y. Zhao, W. Zhang, S. Li, W. Xie, S. Ng, T. Chua, and Y. Deng. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), page 5131--5157. Vienna, Austria, Association for Computational Linguistics, (July 2025)
S. Staab, J. Lehmann, and R. Verborgh. Companion Proceedings of the The Web Conference 2018, page 885--886. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2018)