Augmented Reality for Teaching Data Structures in Computer Science
Augmented Reality for Teaching Data Structures in Computer Science
复制标题
用于计算机科学数据结构教学的增强现实
DOI：
10.1109/ghtc46280.2020.9342932
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Isabella Schrader
中科院分区：
文献类型：
--
作者：
Husnu S. Narman;C. Berry;Alex Canfield;Logan Carpenter;Jeremy M Giese;Neil Loftus;Isabella Schrader
数据结构课程是计算机相关专业最基础、最关键的课程。在本课程中，将解释数据结构、它们的主要区别以及它们的用法。然而，对于计算机科学专业的学生，尤其是没有编程经验的学生来说，学习数据结构可能具有挑战性，许多学生如果在这门课程中不成功，就会改变专业。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该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，学生的成绩得到了不同程度的提高。此外，以更低的价格使用更便宜的智能设备使得学生更容易获得以前无法获得的技术，例如增强现实（AR）。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，并根据学生的评论将 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，AR 方法不仅可以帮助学生更好地学习数据结构，而且还被认为是最令人兴奋的方法。结果可以帮助内容开发者观察 AR 在计算机科学教育中的好处。
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.
BRIDGES：一个能够利用真实世界数据和可视化创建引人入胜的数据结构分配的系统
DOI：
10.1145/2839509.2844635
发表时间：
2016
期刊：
ACM SIGCSE 2016
影响因子：
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作者：
Burlinson, David;Mehedint, Mihai;Grafer, Chris;Subramanian, Kalpathi;Payton, Jamie;Goolkasian, Paula;Youngblood, Michael;Kosara, Robert
通讯作者：
Kosara, Robert
数据结构学习模块中的可视化、评估和分析
DOI：
10.1145/3159450.3159460
发表时间：
2018
期刊：
SIGCSE '18 Proceedings of the 49th ACM Technical Symposium on Computer Science Education
影响因子：
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作者：
Mcquaigue, Matthew;Burlinson, David;Subramanian, Kalpathi;Saule, Erik;Payton, Jamie
通讯作者：
Payton, Jamie