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Examining the Efficiency of Feedback Types in a Virtual Reality Educational Environment for Learning Search Algorithms

机译:在学习搜索算法的虚拟现实教育环境中检查反馈类型的效率

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Feedback constitutes a fundamental aspect of educational systems that has a substantial impact on students learning and can shape their mental models. The delivery of appropriate feedback in terms of time and content is crucial for facilitating students' knowledge construction and comprehension. In this paper, we examine the complex nature and the efficiency of feedback in the context of a virtual reality educational environment. More specifically, we study the effect that different types of feedback such as feedback with visualized animations of procedures, can have on students learning and knowledge construction in a virtual reality educational environment for learning blind and heuristic search algorithms. An experimental study was designed where participating students were engaged with learning activities and solved exercises in different feedback conditions. Results from the study indicate that visual types of feedback can have a substantial impact on students' learning, assisting them in better understanding the functionality of the process studied with respect to performance and mistakes.
机译:反馈是教育系统的基本方面,它对学生的学习产生重大影响,并可以塑造他们的思维模式。在时间和内容方面提供适当的反馈对于促进学生的知识构建和理解至关重要。在本文中,我们研究了虚拟现实教育环境下的复杂性质和反馈效率。更具体地说,我们研究了不同类型的反馈(例如带有可视化程序动画的反馈)对学生在学习盲目和启发式搜索算法的虚拟现实教育环境中的学习和知识构造的影响。设计了一项实验研究,让参与的学生参与学习活动并解决不同反馈条件下的练习。研究结果表明,视觉反馈类型可以对学生的学习产生重大影响,帮助他们更好地理解所研究过程在绩效和错误方面的功能。

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