Creating Engaging Exercises With Mobile Response System (MRS)

Creating Engaging Exercises With Mobile Response System (MRS)
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使用移动响应系统 (MRS) 创建引人入胜的练习

DOI:
10.1145/3017680.3017793
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发表时间:
2017
期刊:
ACM SIGCSE 2017 Conference
影响因子:
--
通讯作者:
Kanan, Mallek
Kanan, Mallek
中科院分区:
--
文献类型:
--
作者:
Deb, Debzani;Fuad, Mohammad Muztaba;Kanan, Mallek

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过去几年,计算机科学教师一直在利用算法可视化 (AV) 等学习技术,通过模拟和动画向学习者解释难以理解的算法。在这项工作中,我们探索了一种积极且高度吸引人的方法,即构建所研究算法的可视化。我们的方法进一步增强了对学生课堂构建活动的自动评估,他们在移动设备中作为应用程序执行这些活动。在本文中,我们利用案例研究(构建练习应用程序的逐步可视化)来解释如何利用技术为学习者提供更丰富的与问题交互的方式,以及教师如何获取学习者对所涵盖的讲座材料的理解的实时证据。我们的实验评估表明,所提出的方法在增强学生学习、降低辍学率和提高学生满意度方面具有教育效益。
Computer Science instructors have been exploiting learning technology such as Algorithm Visualization (AV) for last few years to explain hard-to-understand algorithms to the learners through simulations and animations. In this work, we explore an active and highly engaging approach, namely, the construction of visualizations of the algorithms under study. Our approach is further augmented with automated assessment of students' in-class construction activities, which they execute as apps in their mobile devices. In this paper, we utilize case study, a step-by-step visualization of a construction exercise app, to explain how technology is leveraged to provide a richer way for learners to interact with a problem, and how instructor can acquire real-time evidence of learners' comprehension of covered lecture material. Our experimental evaluation shows the educational benefits of the proposed approach in terms of enhanced student learning, reduced drop-out rate and increased student satisfaction.
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