Using Interactive Exercise in Mobile Devices to Support Evidence-based Teaching and Learning

Using Interactive Exercise in Mobile Devices to Support Evidence-based Teaching and Learning
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使用移动设备中的互动练习支持循证教学

DOI:
10.1145/2899415.2899467
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发表时间:
2016
期刊:
Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education
影响因子:
--
通讯作者:
Gloster, Clay
Gloster, Clay
中科院分区:
--
文献类型:
--
作者:
Fuad, Mohammad Muztaba;Deb, Debzani;Etim, James;Gloster, Clay

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为了改善学生的课堂体验,移动设备的使用一直在稳步增加。然而,在课堂上,这种移动学习环境的使用基本上是静态的,通过内容交付或多项选择和是非测验。在CS课程中,我们需要一个学习环境,在这个环境中,学生可以通过动手的方式与问题进行互动,教师可以实时评估他们的学习技能,以解决不同困难程度的问题。为了使用移动设备促进这种交互式问题解决和实时评估,一个全面的后端系统是必要的。本文介绍了一个这样的系统,称为移动响应系统(MRS)软件,相关的交互式问题解决活动,以及在CS课堂上使用它所学到的教训。MRS为教师提供了循证教学的机会,允许学生在他们的移动设备上进行互动练习,获得不同的学习结果,并通过获得关于他们的表现和心理模型的即时反馈。MRS易于使用、可扩展,并且可以呈现由第三方开发人员开发的交互式练习。学生的成绩数据表明,它在增加学生对困难概念的理解方面是有效的,总体上对使用该软件的感受是非常积极的。
To improve student's class experience, the use of mobile devices has been steadily increasing. However, such use of mobile learning environments in the class is mostly static in nature through content delivery or multiple choice and true/false quiz taking. In CS courses, we need learning environments where students can interact with the problem in a hands-on-approach and instructor can assess their learning skills in real-time with problems having different degree of difficulty. To facilitate such interactive problem solving and real-time assessment using mobile devices, a comprehensive backend system is necessary. This paper presents one such system, named Mobile Response System (MRS) software, associated interactive problem-solving activities, and lessons learned by using it in the CS classrooms. MRS provides instructor with the opportunity of evidence-based teaching by allowing students to perform interactive exercises in their mobile devices with different learning outcomes and by getting an instant feedback on their performance and mental models. MRS is easy-to-use, extensible and can render interactive exercises developed by third-party developers. The student performance data shows its effectiveness in increasing student understanding of difficult concepts and the overall perception of using the software was very positive.
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