Abstract
In recent years, developing useful learning assistance systems has become a hot research topic in the literature. The learner can be benefited by the useful guidance provided by the learning assistance tool. An effective learning assistance tool can reduce the teaching load of the teacher. However, it is rarely seen that a learning assistance tool employs machine learning techniques to provide appropriate diagnosis or feedback to learners or teachers in the literature. We thus propose a learning assistance tool that employs reinforcement learning technique to continuously interact with the environment in order to offer learners suitable and timely feedback, guide them through the difficulties. Our experimental results reveal that our learning assistance tool can effectively enhance the learners’ ICT application ability and assist the learners in overcoming difficulties. The teaching load of the teacher is also significantly reduced.
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Huang, CJ. et al. (2008). A Learning Assistance Tool for Enhancing ICT Application Ability of Elementary and Secondary School Students. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_82
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DOI: https://doi.org/10.1007/978-3-540-87442-3_82
Publisher Name: Springer, Berlin, Heidelberg
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