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Dealing with Scalability of Laboratory Sessions in Computer Science University Courses

机译:处理计算机科学大学课程中实验室课程的可扩展性

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The increase of the number of students enrolled to bachelor degree computer science and information technology courses brings new challenges for universities and educational institutions. It has been recognized that laboratory session is an essential element in computer science education, as it supplements the classroom presentations as many topics cannot be treated adequately without first-hand experience in using actual computer systems. However, current platforms for online learning courses do not pay enough attention to the laboratory sessions. In this paper, we identify requirements and explore novel paradigms together with state-of-the-art technologies in the area of education and infrastructure management in order to deal with previously mentioned issues of laboratory session scalability. As an outcome, we propose a system architecture for execution of computer science courses laboratory sessions using container-based virtualization and paradigms of blended learning and consider its implementation variants.
机译:攻读计算机科学和信息技术学士学位课程的学生人数的增加给大学和教育机构带来了新的挑战。人们已经认识到,实验室会议是计算机科学教育中必不可少的要素,因为它是对课堂演讲的补充,因为如果没有使用实际计算机系统的第一手经验,就无法充分处理许多主题。但是,当前的在线学习课程平台并未对实验室课程给予足够的重视。在本文中,我们确定了需求,并探索了教育和基础设施管理领域的最新范例以及最新技术,以应对前面提到的实验室会话可扩展性问题。结果,我们提出了一种用于使用基于容器的虚拟化和混合学习范式来执行计算机科学课程实验室课程的系统架构,并考虑了其实现方式。

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