Abstract
This paper focuses on a system framework supporting personalized learning. While learning styles describe the influence of cognitive factors, learning orientations describe the influence of emotions and intentions. The system responds to students’ needs according to their learning orientations.
Such a system requires cooperation among several educational organizations, since it is quite difficult for a single organization to develop an item pool of questions tailored for individuals with different learning orientations. The cooperation needs serious consideration of security issues. We propose a model for sharing protected Web resources that secures privacy.
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Encheva, S., Tumin, S. (2006). Automated Discovering of What is Hindering the Learning Performance of a Student. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds) Frontiers of WWW Research and Development - APWeb 2006. APWeb 2006. Lecture Notes in Computer Science, vol 3841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610113_46
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DOI: https://doi.org/10.1007/11610113_46
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