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Deconstructing the Failure: Analyzing the Unanswered Questions within Educational QA

机译：解构失败：在教育问题问答中分析未答复的问题

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Community Question and Answering (CQA) is a well-known platform for knowledge sharing and social learning. CQA services have expanded into the education sector, where school students are the main users. Here, CQA functions as a non-traditional learning environment in which students use their own knowledge to construct the knowledge base. However, there have been cases where some questions are not answered within such a Q&A system. This failure may occur if a question is unclear, complex, inappropriate, or unrelated to the subject in which it is contextualized. While experts do not answer posted questions, co-users moderate responses and help maintain answer quality. However, due to the presence of users from diverse cultural and linguistic backgrounds, many questions remain unanswered. The current study analyzes and explores the failed questions collected from Brainly, a social learning Q&A platform for school students. The quality of 1,000 questions extracted from this service is analyzed based on human-based ratings and extracted textual features. The findings show that a relationship can be drawn between the non-textual assessment results and the objective textually extracted features. This further encourages the study of why a question might be of poor quality. The findings also show which subjects contain the highest number of unanswered questions. These results will further help us to understand how questions should be restructured to obtain answers from their askers' peers.
机译：社区问题和回答（CQA）是知识共享和社会学习的知名平台。 CQA服务已扩展到教育部门，学校学生是主要用户。这里，CQA担任非传统学习环境，学生使用自己的知识来构建知识库。但是，在这样的问答系统内没有回答一些问题。如果问题尚不清楚，复杂，不合适，或者与其上下情调的主题无恰当发生这种故障。虽然专家们没有回答发布的问题，但共同用户的适度回复，帮助保持答案质量。但是，由于存在来自不同文化和语言背景的用户，许多问题仍未得到答复。目前的研究分析并探讨了从大脑中收集的失败问题，社会学习Q＆A学生平台。根据基于人的评级分析了从该服务中提取的1,000个问题的质量，并提取了文本特征。调查结果表明，可以在非文本评估结果和目标文本提取的特征之间绘制关系。这进一步鼓励研究为什么问题质量差。调查结果还显示了哪些科目包含最高数量的未答复问题。这些结果将进一步帮助我们了解如何重组问题，以便从提问者的同行中获取答案。

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