Abstract
At present a large number of learning platforms are the accumulation of educational resources. In the face of chaotic educational resources, learners become overwhelmed and unable to find their own resources effectively. Adaptive learning platform aims to build learning environment and provide learning objects based on learner’s individualized information usage behavior, habits, preferences and etc. It can guide learner’s learning activities as a teacher, and enhance learning efficiency. This paper presents an ontology and sequence mining based selection method for learning objects and learning tools in adaptive learning platform. It mines the learning scheme through the sequence mining method to achieve personalized learning scheme. Besides, according to the learning scheme, it integrates the existing e-learning tools to build learning environment by service composition method, and aggregation all the related learning objects into learning content by using ontology technology to describe the semantic relationship between learning objects.
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Xie, P., Ye, L., Huang, Y., Chen, Y., Lin, L. (2010). Research on the Method of Recomposing Learning Objects and Tools in Adaptive Learning Platform. In: Zhang, X., Zhong, S., Pan, Z., Wong, K., Yun, R. (eds) Entertainment for Education. Digital Techniques and Systems. Edutainment 2010. Lecture Notes in Computer Science, vol 6249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14533-9_33
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DOI: https://doi.org/10.1007/978-3-642-14533-9_33
Publisher Name: Springer, Berlin, Heidelberg
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