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EVALUATION OF LEARNER ENGAGEMENT IN PROGRAM VISUALIZATION

机译:程序可视化中学习者参与度的评估

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Engagement taxonomy is used in categorizing learner’srninvolvement in an education situation includingrnvisualization. We conducted a research on the effects ofrnengagement level in program visualization. The studentsrnattended a two hour lab session where they learned basicrnprogramming concepts using a programming tutorial. Thernresults were analyzed based on the engagement level: thernno-viewing group used only the tutorial, while thernviewing and responding groups were able to utilize arnprogram visualization tool called ViLLE. The resultsrnshow that each group performed significantly better at thernend of the session. Moreover, when taking previousrnprogramming experience into account, the novices in thernresponding group improved their results more thanrnnovices in other groups. The statistically significantrndifference between them and more experienced studentsrndisappeared at the end of the session, while in the otherrngroups the difference remained. This seems to support thernhypothesis by Naps et al. [1]: the higher the level ofrnengagement, the better the learning.
机译:参与分类法用于将学习者对教育的参与程度(包括视觉化)分类。我们对程序化可视化中的互动程度的影响进行了研究。学生参加了为时两个小时的实验课程,他们在其中使用编程指南学习了基本的编程概念。根据参与程度对结果进行了分析:观看小组仅使用本教程,而观看小组和响应小组则可以使用称为ViLLE的arnprogram可视化工具。结果表明,每组在会议结束时表现都明显好于其他人。此外,考虑到以前的编程经验,响应组的新手比其他组的新手提高了学习效果。在课程结束时,他们与较有经验的学生之间在统计学上的显着差异消失了,而在其他组中,差异仍然存在。这似乎支持了Naps等人的假说。 [1]:互动程度越高,学习越好。

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