Analysis of factors influencing Chinese vocabulary learning level based on big data technology

被引:0
|
作者
Li, Yajie [1 ]
Cai, Xirui [2 ]
机构
[1] Huashang Coll, Guangzhou, Guangdong, Peoples R China
[2] Kunming Med Univ, Dept Foreign Languages, Kunming 650500, Yunnan, Peoples R China
关键词
Chinese; second language; Chinese vocabulary; big data technology; analysis of influencing factors;
D O I
10.3233/JIFS-235515
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent years, significant progress has been made in the study of Chinese vocabulary acquisition, and the research content and scope have gradually expanded. Chinese vocabulary is the foundation for understanding and using language, and any language has developed on the basis of Chinese vocabulary. Many studies have shown that there are many factors that affect the acquisition of Chinese vocabulary, and the impact on Chinese vocabulary acquisition is also different. Among them, the influencing factors of Chinese vocabulary acquisition have gradually become a research hotspot, and a large number of related empirical studies have emerged. Based on the big data technology and the random effect model, this paper comprehensively analyzes whether the influencing factors of Chinese vocabulary acquisition as a second language are significant and investigates the effects of internal and external influencing factors, delayed post-test, specific factors and experimental interval time on the learning effect. External factors significantly impact Chinese vocabulary acquisition, including learning style, input factors and input methods. Through the subgroup analysis of the experimental interval, we find that the effect of Chinese vocabulary acquisition decreases with the extension of the experimental interval. Therefore, this paper holds an inverse relationship between the experimental interval and the development of Chinese vocabulary acquisition.
引用
收藏
页码:3545 / 3556
页数:12
相关论文
共 50 条
  • [41] Research on Big Data Artificial Intelligence Technology Based on Deep Learning
    Mei, Guang
    PROCEEDINGS OF THE WORLD CONFERENCE ON INTELLIGENT AND 3-D TECHNOLOGIES, WCI3DT 2022, 2023, 323 : 243 - 250
  • [42] Exploring English-Chinese Translation Skills Based on Big Data Technology
    Hu R.
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [43] Modelling and analysis of the influence of affective factors on students' learning efficiency improvement based on big data
    Yang, Humin
    Loghej, Henry
    INTERNATIONAL JOURNAL OF CONTINUING ENGINEERING EDUCATION AND LIFE-LONG LEARNING, 2019, 29 (04) : 362 - 373
  • [44] Analysis of the Course Design of "Financial Analysis" Based on Big Data Technology
    Bai, Chunmei
    Yang, Ziyi
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON EDUCATION TECHNOLOGY AND COMPUTERS, ICETC 2023, 2023, : 509 - 516
  • [45] Evaluation Model of College Students' Sports Learning Engagement Factors Based on Big Data Analysis
    Zhang, Qinghua
    EDUCATIONAL SCIENCES-THEORY & PRACTICE, 2018, 18 (05): : 2097 - 2107
  • [47] Learning analysis and exploration based on big data of students' learning behavior
    Yang, Huansong
    Zhang, Nan
    Qiao, Yuehan
    Zhang, Shaoli
    Zhou, Tao
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 43 - 44
  • [48] Academic research trend analysis based on big data technology
    Lin, Weiwei
    Zhang, Zilong
    Peng, Shaoliang
    INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2019, 20 (01) : 31 - 39
  • [49] Improved Statistical Analysis Method Based on Big Data Technology
    Xu, Hongsheng
    Li, Ke
    Fan, Ganglong
    2017 INTERNATIONAL CONFERENCE ON COMPUTER NETWORK, ELECTRONIC AND AUTOMATION (ICCNEA), 2017, : 175 - 179
  • [50] Scientific Literature based Big Data Analysis for Technology Insight
    Gao, Hui
    Gui, Lin
    Luo, Wei
    2018 INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY, 2019, 1168