ISSN 0439-755X
CN 11-1911/B

Acta Psychologica Sinica ›› 2021, Vol. 53 ›› Issue (2): 155-169.doi: 10.3724/SP.J.1041.2021.00155

• Reports of Empirical Studies • Previous Articles     Next Articles

Shyness prediction and language style model construction of elementary school students

LUO Fang1, JIANG Liming1, TIAN Xuetao2, XIAO Mengge1, MA Yanzhen3, ZHANG Sheng3()   

  1. 1School of Psychology, Beijing Normal University, Beijing 100875, China
    2School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
    3Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing 100875, China
  • Received:2020-04-22 Published:2021-02-25 Online:2020-12-29
  • Contact: ZHANG Sheng
  • Supported by:
    National Natural Science Foundation of China(U1911201)


The present study collected compositions, diaries and comments from 1306 elementary school students on an online teaching platform, analyzed the text using natural language processing technology, and constructed an automatic prediction model of shyness using machine-learning methods and a language style model of the behavior, cognition and emotion of shyness in elementary school students. The study found that (1) the expanded mental dictionary is suitable for analyzing elementary school students’ texts; (2) stu-dents with shy behavior and cognitive and emotional problems have both shared and unique features in language style, and they are different from ordinary students; and (3) each dimension of shyness achieves the optimal predictive effect on different classifiers, and the overall performance of the random forest model is the relative best.

Key words: shyness, online writing, mental dictionary, text mining, language style model