Abstract
With the rapid development of information and education technology, online learning system become more and more important in improving learners’ grade. To provide personalized, flexible learning examination and efficiently keep students’ confidence, the key problem is how to control the learning difficulty. In this paper, we present personalized learning difficulty-based online learning system (PLD-OLS) which can adaptively provide learning examination with reasonable difficulty for learners. In this method, each exercise is appended a hex string which represents the learners’ understanding degree based on exercise difficulty. With the procedure of learning, this string will be automatically changed to represent the current understanding degree of learners. In addition, according to this novel representation, the learning state can be achieved by merging all hex strings to help customize learning examination with personalized learning difficulty for learners’ re-learning. Learning results demonstrate that PLD-OLS can efficiently control the learning difficulty and improve learning effect of learners.
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Zhu, G., Liu, W., Zhang, S. (2011). Designing Personalized Learning Difficulty for Online Learners. In: Luo, X., Cao, Y., Yang, B., Liu, J., Ye, F. (eds) New Horizons in Web-Based Learning - ICWL 2010 Workshops. ICWL 2010. Lecture Notes in Computer Science, vol 6537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20539-2_29
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DOI: https://doi.org/10.1007/978-3-642-20539-2_29
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