Abstract
Innovative education big data can help improve the current learning system framework and implement the analysis and mining mechanism of learning based on the data flow. It is rather hard make accurate analysis possible in the past. The Quantified Self Learning Algorithm (QSLA) will be the key to analyze education big data and realize adaptive learning. The learning process of foreign language writing is a complex system. It is influenced by many factors, such as teachers, textbooks, environments and students. Based on adaptive learning and adaptive control theory, this paper designs and implements adaptive learning system for foreign language writing. This has some theoretical and practical significance to realize personalized and intelligent learning and improve improvement of learning effect.
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Huang, WB., Ruan, LX., Liu, JH., Li, XD. (2018). Adaptive Learning System for Foreign Language Writing Based on Big Data. In: Hao, T., Chen, W., Xie, H., Nadee, W., Lau, R. (eds) Emerging Technologies for Education. SETE 2018. Lecture Notes in Computer Science(), vol 11284. Springer, Cham. https://doi.org/10.1007/978-3-030-03580-8_2
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DOI: https://doi.org/10.1007/978-3-030-03580-8_2
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