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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Crowdsourcing Based Teaching Assistant Arrangement for MOOC
verfasst von : Dezhi Sun, Bo Liu
Erschienen in: Database Systems for Advanced Applications
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Abstract
With the development of new web technologies, the Massive Open Online Course (MOOC) which aims at unlimited participation and access is emerging. In contrast to traditional education, learners could get access to filmed lectures and tests online anytime and anywhere. However, there still exists some problems with MOOCs. Currently, one major problem is the imbalance between teachers and learners online. In many courses, thousands of learners enroll in a class with a single instructor which could lead to bad learning effect and very low completion rates, so we propose crowdsourcing based teaching assistant assignment for MOOC in order to optimize the reasonable disposal of manpower. We present effective algorithms for the selection and assignment of teaching assistants. With experiments on various datasets, we verify the effectiveness of our proposed methods.