个人学习途径的个性化建议:支持乌克兰难民学生继续他们的大学教育

Felix Ziemann, Duy Nguyen, Franziska Blum, U. Lucke
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引用次数: 0

摘要

在乌克兰战争的难民中,有高于平均水平的学者,他们应该能够继续在国外的大学学习。在这里,数字媒体可以降低获取障碍,但东道国缺乏语言知识或教育系统阻碍了参与。此外,需求因人而异,这使得咨询过程变得复杂。本文提出了一个跨机构推荐系统,为合适的学习路径提出个性化的建议,并使适当的教育机会可访问。我们根据德国目前开发的国家数字教育基础设施,以及基于乌克兰难民学生用例的评估的初步结果,介绍了该系统的结构和操作模式。
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Personalized Recommendations for Individual Learning Pathways: Supporting Ukrainian Refugee Students in Continuing their University Education
Among the refugees of the war in Ukraine, there is an above-average number of academics, who should be able to continue their university studies abroad. Here, digital media can lower access barriers, but lack of knowledge of the language or the education system in the host country hampers participation. In addition, needs vary from person to person, which makes counseling processes complex. This article presents a cross- institutional recommendation system that proposes personalized recommendations for suitable learning paths and makes appropriate educational opportunities accessible. We present the system's structure and mode of operation, based on the currently developed national infrastructure for digital education in Germany, as well as initial findings from its evaluation based on the use case of Ukrainian refugee students.
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ARCH-COMP23 Category Report: Hybrid Systems Theorem Proving ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics ARCH-COMP23 Repeatability Evaluation Report ARCH-COMP23 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
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