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Adaptive Learning System for Foreign Language Writing Based on Big Data

  • Wei-Bo Huang
  • Ling-Xi Ruan
  • Jiang-Hui Liu
  • Xiao-Dan Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11284)

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.

Keywords

Foreign language writing Adaptive learning system Big data QSLA 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Wei-Bo Huang
    • 1
  • Ling-Xi Ruan
    • 1
  • Jiang-Hui Liu
    • 1
  • Xiao-Dan Li
    • 1
  1. 1.Guangdong University of Foreign StudiesGuangzhouPeople’s Republic of China

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