Augmented Reality for Teaching Data Structures in Computer Science

Husnu S. Narman, C. Berry, Alex Canfield, Logan Carpenter, Jeremy M Giese, Neil Loftus, Isabella Schrader
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引用次数: 7

Abstract

Data structures course is the most essential and critical course for computing-related majors. In this course, data structures, their main differences, and their usages are explained. However, for computer science students and especially students who do not have programming experiences, learning data structures can be challenging, and many students change their majors if they are not successful in this course. Given the importance of data structures, it is a pressing issue that we need to work to meet student needs and improve computer science education in this area. With technological developments, teaching strategies based on technology are also varying. The student performance is improved at various levels with these strategies. Also, accessing lower price smart devices with lower prices makes previously inaccessible technology, like Augmented Reality (AR), more readily available for students. Therefore, in this paper, we have developed a practice and learning environment for students based on AR and compared AR approach with standard and web-based animation approaches according to students’ comments. Results show that the AR approach not only helps students learn data structures better but is also found to be the most exciting approach. The results can help content-developers observe benefits of AR in computer science education.
增强现实技术在计算机科学数据结构教学中的应用
数据结构课程是计算机类专业最基本、最关键的一门课程。在这个过程中,数据结构,他们的主要区别,和他们的用法解释。然而,对于计算机科学专业的学生,特别是没有编程经验的学生来说,学习数据结构可能是具有挑战性的,许多学生如果在这门课上不成功,就会改变他们的专业。鉴于数据结构的重要性,我们需要努力满足学生的需求并改善这一领域的计算机科学教育,这是一个紧迫的问题。随着技术的发展,基于技术的教学策略也在不断变化。通过这些策略,学生的表现在不同程度上得到了提高。此外,以更低的价格获得更低价格的智能设备,使得以前无法获得的技术,如增强现实(AR),更容易为学生所用。因此,在本文中,我们为学生开发了一个基于AR的实践和学习环境,并根据学生的意见将AR方法与标准和基于网络的动画方法进行了比较。结果表明,增强现实方法不仅可以帮助学生更好地学习数据结构,而且是最令人兴奋的方法。研究结果可以帮助内容开发者观察增强现实在计算机科学教育中的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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