什么留在脑海里？- 编程MOOC的保留率
What Stays in Mind? - Retention Rates in Programming MOOCs
摘要：
这项工作提出了关于MOOC内获得的知识的长期影响和保留率的见解。在2015年和2017年，我们举办了两个关于Java面向对象编程的入门MOOC，每个都有超过10，000名注册参与者。在本文中，我们分析了课程成绩，测验结果和自我陈述的技能水平，我们的参与者。我们分析的目的是揭示影响保留所获得的知识的因素，如时间的推移或知识的应用，以提高长期的成功。虽然我们知道一些参与者在我们的课程中学习了编程基础知识，但我们缺乏有关这些知识在课程结束后是否得到应用和加强的信息。为了填补这一知识差距，我们在2018年对2015年和2017年编程MOOC的所有参与者进行了调查。调查的第一部分回答了是否以及如何应用MOOC知识，并为参与者提供了表达个人反馈的机会。调查的第二部分包含几个与课程内容有关的难度和复杂性越来越大的问题，以了解所获知识的巩固情况。我们在调查中区分了三个编程知识领域：第一，理解概念，如循环和布尔代数。二是语法知识，如具体的关键词。第三，实际技能，包括调试和编码。我们进一步分析了每个参与者技能组的长期影响。虽然回答率很低，但收集到的数据显示，知识随着时间的推移而减少，相对不受技能水平的影响。应用所获得的知识可以提高所有技能水平的MOOC参与者的记忆保持率。
英文摘要：
This work presents insights about the long-term effects and retention rates of knowledge acquired within MOOCs. In 2015 and 2017, we conducted two introductory MOOCs on object-oriented programming in Java with each over 10,000 registered participants. In this paper, we analyze course scores, quiz results and self-stated skill levels of our participants. The aim of our analysis is to uncover factors influencing the retention of acquired knowledge, such as time passed or knowledge application, in order to improve long-term success. While we know that some participants learned the programming basics within our course, we lack information on whether this knowledge was applied and fortified after the course's end. To fill this knowledge gap, we conducted a survey in 2018 among all participants of our 2015 and 2017 programming MOOCs. The first part of the survey elicits responses on whether and how MOOC knowledge was applied and gives participants opportunity to voice individual feedback. The second part of the survey contains several questions of increasing difficulty and complexity regarding course content in order to learn about the consolidation of the acquired knowledge. We distinguish three programming knowledge areas in the survey: First, understanding of concepts, such as loops and boolean algebra. Second, syntax knowledge, such as specific keywords. Third, practical skills including debugging and coding. We further analyzed the long-term effects separately per participant skill group. While answer rates were low, the collected data shows a decrease of knowledge over time, relatively unaffected by skill level. Application of the acquired knowledge improves the memory retention rates of MOOC participants across all skill levels.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
