GATutor:一个基于引导发现的贪心算法设计导师

Kavya Alse, M. Lahoti, Meenakshi Verma, Sridhar V. Iyer
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引用次数: 4

摘要

贪心算法是一类重要的算法。教授贪婪算法是一项复杂的任务。确保学生能够为新问题设计贪心算法也很复杂。我们建立了一个基于引导发现的贪心算法导师(GATutor),来教授贪心算法的设计过程。GATutor通过问两个重要的问题来引导学生发现贪心算法来解决一些众所周知的问题——i)每一步的满足条件是什么?ii)下一个项目的选择标准是什么?因此,学生不仅学习给定问题的算法,还学习为新问题设计贪心算法的过程。我们进行了一项研究,比较使用gatuttor训练的学生与使用传统算法可视化的学生的贪心算法设计能力。结果表明,使用gatuttor的学生在设计新问题的贪心算法方面表现更好。学生们还表示,他们对贪心算法设计的信心也因为GATutor而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GATutor: A Guided Discovery Based Tutor for Designing Greedy Algorithm
Greedy algorithms is an important class of algorithms. Teaching greedy algorithms is a complex task. Ensuring that students can design greedy algorithms for new problems is also complex. We have built a guided discovery based greedy algorithm tutor (GATutor), to teach the process of designing greedy algorithms. GATutor guides the student to discover the greedy algorithm for a few well-known problems, by asking two important questions -- i) what is the satisfying condition at each step? and ii) what is the selection criterion for the next item? As a result, the students not only learn the algorithms for the given problems, but also the process of designing greedy algorithms for new problems. We conducted a study to compare the greedy algorithm design abilities of the students who were trained with GATutor versus those who worked with traditional algorithm visualizations. The results indicate that students who worked with GATutor performed better in designing a greedy algorithm for a new problem. The students also said that their confidence in greedy algorithm design increased because of GATutor.
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