In recent years, many initiatives have aimed to develop basic computational thinking skills. Despite the popularity of online platforms for early programmers, we still lack detailed information to analyze how these skills are acquired. In the present study we analyzed clickstream data from 3,355 participants enrolled in several Computational Thinking workshops using Kodetu, an online platform with fine grained logging features. Participants used Kodetu's coding blocks to solve challenges of increasing difficulty while we gathered their clickstream in the platform. Here, we present our findings after evaluating these data in regards of participants’ characteristics (age, sex, previous knowledge), similarity with previously submitted solutions, and degree of discrepancy from the optimal solution. To facilitate collaboration with other researchers in this area, we released our dataset under an open license. To the best of our knowledge, this is the largest Computational Thinking-related datasets publicly available.

中文翻译：

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通过点击流分析探索早期程序员在一系列计算思维挑战中的进步

近年来，许多举措旨在培养基本的计算思维技能。尽管早期程序员的在线平台很受欢迎，但我们仍然缺乏详细的信息来分析这些技能是如何获得的。在本研究中，我们使用 Kodetu（一个具有细粒度日志记录功能的在线平台）分析了来自 3,355 名参加多个计算思维研讨会的参与者的点击流数据。当我们在平台上收集他们的点击流时，参与者使用 Kodetu 的编码块来解决越来越困难的挑战。在这里，我们在评估参与者特征（年龄、性别、先前知识）、与先前提交的解决方案的相似性以及与最佳解决方案的差异程度方面的数据后，展示了我们的发现。为了促进与该领域其他研究人员的合作，我们在开放许可下发布了我们的数据集。据我们所知，这是公开可用的最大的计算思维相关数据集。