Abstract
Web based intelligent learning systems are coming out as one the most important research issue in the e-learning area. However, two main cognitive problems are confronted by the intelligent learning systems which are caused by the self-controlled mechanism. To solve this problem, learning path is proposed by many systems, however, learners’ learning characteristics, such as their learning styles are still omitted by the most learning systems. This paper proposed an intelligent learning system called Smap, whose learning objects are organized in a 3-dimensioned semantic map. The final goal of Smap is to provide learners with their personalized learning path according to their different learning styles.
This work was supported by the Scientific Research Foundation of Sichuan Normal University (no. 037199), and partially supported by Natural Science Foundation Project of CQ CSTC (no. 200 BB2005), Scientific Research Foundation of Southwest University (no. SWUB2007056).
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Yang, J., Liu, H., Huang, Z. (2010). Smap: To Generate the Personalized Learning Paths for Different Learning Style Learners. 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_2
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DOI: https://doi.org/10.1007/978-3-642-14533-9_2
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