Can Crowdsourcing Platforms Be Useful for Educational Research?

Can Crowdsourcing Platforms Be Useful for Educational Research?
复制标题

众包平台对教育研究有用吗?

DOI:
10.1145/3636555.3636897
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发表时间:
2024
期刊:
LAK '24: Proceedings of the 14th Learning Analytics and Knowledge Conference
影响因子:
--
通讯作者:
Wieman, Carl
Wieman, Carl
中科院分区:
--
文献类型:
--
作者:
Wang, Karen D.;Chen, Zhongzhou;Wieman, Carl

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越来越多的社会科学研究人员,包括教育研究人员,已经转向多产和MTurk等在线众包平台进行实验。然而,缺乏研究调查在线主题产生的数据的质量,以及它们如何与传统的大学生主题池进行比较,这些主题池涉及认知要求高的任务。使用嵌入在教育模拟的交互式解决问题的任务,我们比较任务的参与和性能的基础上的交互日志数据的大学生从多产的那些从入门物理课程。结果表明,多产的参与者表现与参与者从物理类在获得正确的解决方案。此外,提交错误答案的物理课程学生比多产参与者更有可能匆忙粗略地尝试解决问题。这些结果表明,通过深思熟虑的研究设计和先进的学习分析和数据挖掘技术,众包平台可以成为进行高等教育教学研究的可行工具。
A growing number of social science researchers, including educational researchers, have turned to online crowdsourcing platforms such as Prolific and MTurk for their experiments. However, there is a lack of research investigating the quality of data generated by online subjects and how they compare with traditional subject pools of college students in studies that involve cognitively demanding tasks. Using an interactive problem-solving task embedded in an educational simulation, we compare the task engagement and performance based on the interaction log data of college students recruited from Prolific to those from an introductory physics course. Results show that Prolific participants performed on par with participants from the physics class in obtaining the correct solutions. Furthermore, the physics course students who submitted incorrect answers were more likely than Prolific participants to make rushed cursory attempts to solve the problem. These results suggest that with thoughtful study design and advanced learning analytics and data mining techniques, crowdsourcing platforms can be a viable tool for conducting research on teaching and learning in higher education.
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