TY - CHAP A1 - Döhring, Thorsten A1 - Stieglitz, Veronika A1 - Hudec, Rene A1 - Sapsai, Iryna A1 - Friedrich, Peter A1 - Burwitz, Vadim T1 - Characterization of a lobster-eye type X-ray telescope T2 - EOSAM-Conference N2 - Lobster-eye type X-ray telescopes use reflecting plano mirrors under grazing incidence and can observe a large field of view. As part of a Bavarian-Czech cooperation, two telescopes were build, equipped with mirrors coated with gold and iridium. Their X-ray characterization was carried out at the PANTER test facility, which simulates parallel starlight incident on the telescopes. The telescopes have an angular resolution of about 4 arc minutes in X-rays and a focal length of about 2 meters. The used X-ray mirrors reflect and focus visible light as well; their functionality in the optical regime was checked in laboratory tests. Now another test campaign will be carried out to examine the telescope resolution for real objects of the visible night sky and the imaging properties for star constellations. KW - Lobster-Eye KW - X-ray KW - telescope KW - iridium KW - mirror KW - Röntgenteleskop KW - Iridium KW - Röntgenspiegel Y1 - 2022 UR - https://www.europeanoptics.org/events/eos/eosam2022.html VL - 2022 SP - 1 EP - 1 ER - TY - CHAP A1 - Valencia, Yeimy A1 - Normann, Marc A1 - Sapsai, Iryna A1 - Abke, Jörg A1 - Madsen, Anders L. A1 - Weidl, Galia T1 - Learning Style Classification by Using Bayesian Networks Based on the Index of Learning Style T2 - ECSEE '23: Proceedings of the 5th European Conference on Software Engineering Education, June 2023 KW - Lernstil KW - Fragebogen Y1 - 2023 U6 - https://doi.org/10.1145/3593663.3593685 SP - 73 EP - 82 ER - TY - JOUR A1 - Sapsai, Iryna A1 - Valencia, Yeimy A1 - Abke, Jörg T1 - Learning Analytics Dashboard for Educators: Proposed Project to Design with Pedagogical Background JF - ECSEE '23: Proceedings of the 5th European Conference on Software Engineering Education N2 - In this article, the authors describe a prototype of a Learning Analytics Dashboard (LAD) for educators. It is based on the analysis of pedagogical actions and taking into the process and learning style of students in an online environment based on learning analytics (LA). A description of the Dashboard structure, divided into levels and categories based on available learning analytics, will allow the educator to dive deeper into the online course themselves and explore more. It will also allow them to determine the level of student performance, identify gaps in learning materials, and research student data. The authors have identified further directions for the development of a LAD for a professor, including modeling algorithms for researching student behavior and learning style using Artificial Intelligence and presenting LA in a visualized form. This paper shows the stages of creating a professor's LAD prototype as a functional part of the adaptive learning system in the HASKI-System to analyze visual information obtained from LA and the possibilities to monitor the learning process, learning progress, student activity, and make decisions on careful intervention in the students’ learning process. KW - Lerntechnik KW - Computerunterstütztes Lernen Y1 - 2023 UR - https://dl.acm.org/doi/abs/10.1145/3593663.3593686 U6 - https://doi.org/https://doi.org/10.1145/3593663.3593686 VL - 2023 IS - ECSEE '23: Proceedings of the 5th European Conference on Software Engineering Education SP - 38 EP - 47 ER -