Abstract
Q&A is a very important step of a process of learning. This paper analyses some problems in Q&A which both teachers and learners are facing in e-learning, and proposes a novel Q&A mechanism combining automatic Q&A and collaborative Q&A technologies. In detail, this paper proposes an intelligent answer machine using Semantic Words, Keywords and their respective weights to describe the feature of a question, a keywords reverse abstracting policy, and a question matching algorithm; this paper also proposes a personalized question deliver policy to other learners with high enough login frequence, low question load and in the same learning community where all learners have similar interests, and a promoting mechanism for collaborative Q&A. By this novel Q&A mechanism, this paper hopes to offer a timely response to a learner’s question, and reduce the load on teachers.
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Zhang, T., Shen, R. (2011). Intelligent and Collaborative Q&A Mechanism Based on Learning Communities. In: Tan, H., Zhou, M. (eds) Advances in Information Technology and Education. Communications in Computer and Information Science, vol 201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22418-8_51
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DOI: https://doi.org/10.1007/978-3-642-22418-8_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22417-1
Online ISBN: 978-3-642-22418-8
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