在MOOC论坛中识别与内容相关的线索

Proceedings of the Second (2015) ACM Conference on Learning @ Scale Pub Date : 2015-03-14 DOI:10.1145/2724660.2728679

Yi Cui, A. Wise

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引用次数: 44

摘要

本研究调查了MOOC论坛中学生提问和教师回答内容相关问题的程度;随后，基于提取的语言特征，建立分类模型来识别这些问题。结果显示，与内容相关的线程是少数，并且没有得到教师的重视。然而，语言建模在识别它们方面有很高的可靠性。

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Identifying Content-Related Threads in MOOC Discussion Forums

This study investigated the extent to which students asked and instructors answered content-related questions in MOOC discussion forums; subsequently a classification model was built to identify such questions based on extracted linguistic features. Results showed content-related threads were a minority and under-addressed by instructors. However, linguistic modeling was promising in identifying them with high reliability.

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来源期刊

Proceedings of the Second (2015) ACM Conference on Learning @ Scale

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