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Personalizing Sample Databases With Facebook Information to Increase Intrinsic Motivation

机译:使用Facebook信息个性化示例数据库以增加内在动机

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摘要

Motivation is fundamental for students to achieve successful and complete learning. Motivation can be extrinsic, i.e., driven by external rewards, or intrinsic, i.e., driven by internal factors. Intrinsic motivation is the most effective and must be inspired by the task at hand. Here, a novel strategy is presented to increase intrinsic motivation toward activities requiring the use of sample data sets, by automatically extracting the student's social data from a social media network, to create a personalized sample data set. A tool was developed to access Facebook and create a database to be used in practical assignments on database queries. A user study (N=74) measured intrinsic motivation before and after the assignment in three different groups of first-year university students. Each group had to create a set of queries of similar difficulty, with each group using a different database. Intrinsic motivation was found to be significantly higher for the group using their own social media data than for the groups using social media data from an unknown person or a business. The approach presented here can be applied to other subjects, such as data mining, image processing, or statistics.
机译:动机是学生获得成功和完整学习的基础。动机可以是外在的,即由外部奖励驱动,也可以是内在的,即由内部因素驱动。内在动力是最有效的,必须从手头的任务中得到启发。在这里,提出了一种新颖的策略,通过自动从社交媒体网络中提取学生的社交数据来创建个性化的示例数据集,从而增加了对需要使用示例数据集的活动的内在动力。开发了一种工具来访问Facebook并创建一个数据库,以用于数据库查询的实际分配中。一项用户研究(N = 74)测量了三组不同的一年级大学生在分配作业前后的内在动机。每个小组必须创建一组相似难度的查询,每个小组使用不同的数据库。发现使用他们自己的社交媒体数据的小组的内在动机明显高于使用未知人或企业的社交媒体数据的小组的内在动机。这里介绍的方法可以应用于其他主题,例如数据挖掘,图像处理或统计。

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