English digital reading achievement for East Asian students: identifying the key predictors using a machine learning approach

被引:3
作者
Luo, Shuqiong [1 ]
King, Ronnel B. [2 ]
Wang, Faming [3 ]
Leung, Shing On [4 ]
机构
[1] Jinan Univ, Coll Foreign Studies, Guangzhou, Guangdong, Peoples R China
[2] Chinese Univ Hong Kong, Fac Educ, Dept Curriculum & Instruct, Hong Kong, Peoples R China
[3] Zhejiang Univ, Coll Educ, Hangzhou, Peoples R China
[4] Univ Macau, Fac Educ, Macau, Peoples R China
关键词
English digital reading achievement; PISA; machine learning; East Asia; key predictors; secondary students; COMPREHENSION; ASSESSMENTS; EDUCATION;
D O I
10.1080/02188791.2024.2398120
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Students' digital reading literacy has attracted increasing attention in the current digital era; however, few studies have been conducted to explore how factors at different levels influence students' digital reading achievement. Grounded by socio-ecological theory, the current comprehensively explored the relative importance of 24 individual, microsystem, and mesosystem variables in predicting English digital reading achievement through the machine learning approach (i.e. random forest regression). The secondary data were retrieved from the Program for International Student Assessment (PISA) 2018, including 7,703 15-year-old students from Macao, Hong Kong, and Singapore. Our study identified 12 key factors that best predicted East Asian students' English digital reading achievement. Among them, students' socioeconomic status, subject-related ICT use during lessons, and interest in ICT ranked as the top three factors. The disparities in the roles played by disciplinary climate, gender, being bullied, immigrant status, and home language among the three economies were discussed.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] CLASSIFICATION OF STUDENTS' ACHIEVEMENT VIA MACHINE LEARNING BY USING SYSTEM LOGS IN LEARNING MANAGEMENT SYSTEM
    Koyuncu, Ilhan
    Kilic, Abdullah Faruk
    Orhan Goksun, Derya
    TURKISH ONLINE JOURNAL OF DISTANCE EDUCATION, 2022, 23 (03): : 18 - 30
  • [22] Identifying Key Issues in Climate Change Litigation: A Machine Learning Text Analytic Approach
    Raghupathi, Wullianallur
    Molitor, Dominik
    Raghupathi, Viju
    Saharia, Aditya
    SUSTAINABILITY, 2023, 15 (23)
  • [23] A Futuristic Approach to Subsurface-Constructed Wetland Design for the South-East Asian Region Using Machine Learning
    Singh, Saurabh
    Suthar, Gourav
    Kulshreshtha, Niha Mohan
    Brighu, Urmila
    Bezbaruah, Achintya N.
    Gupta, Akhilendra Bhushan
    ACS ES&T WATER, 2024, 4 (09): : 4061 - 4074
  • [24] Identifying At-Risk Students for Early Intervention-A Probabilistic Machine Learning Approach
    Nimy, Eli
    Mosia, Moeketsi
    Chibaya, Colin
    APPLIED SCIENCES-BASEL, 2023, 13 (06):
  • [25] MERCI: a machine learning approach to identifying hydroxychloroquine retinopathy using mfERG
    Habib, Faisal
    Huang, Huaxiong
    Gupta, Arvind
    Wright, Tom
    DOCUMENTA OPHTHALMOLOGICA, 2022, 145 (01) : 53 - 63
  • [26] MERCI: a machine learning approach to identifying hydroxychloroquine retinopathy using mfERG
    Faisal Habib
    Huaxiong Huang
    Arvind Gupta
    Tom Wright
    Documenta Ophthalmologica, 2022, 145 : 53 - 63
  • [27] Identifying Predictors of Anal HPV Status in HPV-Vaccinated MSM: A Machine Learning Approach
    Ocagli, Honoria
    Bottigliengo, Daniele
    Lorenzoni, Giulia
    Fontana, Francesco
    Negri, Camilla
    Moise, Gian Michele
    Gregori, Dario
    Clemente, Libera
    JOURNAL OF HOMOSEXUALITY, 2024, 71 (03) : 741 - 757
  • [28] Identifying the strongest self-report predictors of sexual satisfaction using machine learning
    Vowels, Laura M.
    Vowels, Matthew J.
    Mark, Kristen P.
    JOURNAL OF SOCIAL AND PERSONAL RELATIONSHIPS, 2022, 39 (05) : 1191 - 1212
  • [29] Identifying Modifiable Predictors of COVID-19 Vaccine Side Effects: A Machine Learning Approach
    Abbaspour, Sara
    Robbins, Gregory K.
    Blumenthal, Kimberly G.
    Hashimoto, Dean
    Hopcia, Karen
    Mukerji, Shibani S.
    Shenoy, Erica S.
    Wang, Wei
    Klerman, Elizabeth B.
    VACCINES, 2022, 10 (10)
  • [30] Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach
    Liu, Huinan
    Hou, Wai Kai
    Lau, Esther Yuet Ying
    Birk, Jeffrey L.
    Bonanno, George A.
    DEVELOPMENT AND PSYCHOPATHOLOGY, 2023,