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A Model for Customized In-class Learning Scenarios An Approach to Enhance Audience Response Systems with Customized Logic and Interactivity

机译:自定义类别学习场景的模型,一种增强具有自定义逻辑和交互性的受众响应系统的方法

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Audience Response Systems (ARS) are quite common nowadays. With a very high smart phone availability among students, the usage of ARS within classroom settings has become quite easy. Together with the trend for developing web applications, the number of ARS implementations grew rapidly in recent years. Many of these applications are quite similar to each other, and fit into many classroom learning scenarios like test questions, self-assessment and audience feedback. But they are mostly limited to their original purpose. Using another question types or little differences in the existing quiz logic cause considerable effort to develop as they have to be implemented separately. We searched for similarities between the different ARS implementations, matched them to a universal process and present a generalized model for all of them. We implemented a prototype that serves many known scenarios ranging from simple knowledge feedback questions up to complex marketplace simulations. A first evaluation in different course types with up to fifty students showed, that the model satisfies our expectations and offers a lot of new opportunities for classroom learning scenarios.
机译:观众响应系统(ARS)现在非常常见。在学生之间具有非常高的智能手机可用性,课堂环境中的ARS的用法变得非常容易。与开发Web应用程序的趋势一起,近年来的ARS实施数量迅速增长。这些应用程序中的许多应用程序都相似,并适合许多课堂学习场景,如测试问题,自我评估和观众反馈。但它们主要限于原来的目的。使用其他问题类型或现有的测验逻辑的差异很小,导致努力开发,因为它们必须单独实施。我们搜索了不同的ARS实现之间的相似之处,将它们与普遍过程匹配,并为所有这些呈现广义模型。我们实现了一种用于许多已知情景的原型,从简单的知识反馈题为复杂的市场模拟。不同课程类型的第一次评估,最多有五十名学生,该模型满足了我们的期望,为课堂学习情景提供了很多新的机会。

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