Abstract
One-to-one teaching is an ideal way to realize personalized and adaptive learning, but limited to teachers, it can’t be applied on a large scale. Now artificial intelligence has been widely used, so we can design a learning system to assist teaching, so as to realize part of the personalized and adaptive learning. In this paper, a learning system based on T-LSTM’s recurrent neural network is proposed to help achieve this goal. On the one hand, it can balance subjects, on the other hand, it can avoid the exercise too difficult to affect learning confidence or too simple to affect learning efficiency.
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Ma, Y., Lu, W. (2021). Design and Implementation of Learning System Based on T-LSTM. In: Zhou, W., Mu, Y. (eds) Advances in Web-Based Learning – ICWL 2021. ICWL 2021. Lecture Notes in Computer Science(), vol 13103. Springer, Cham. https://doi.org/10.1007/978-3-030-90785-3_14
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DOI: https://doi.org/10.1007/978-3-030-90785-3_14
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