Decoding Contextual Factors Differentiating Adolescents’ High, Average, and Low Digital Reading Performance Through Machine-Learning Methods

Hu, Jie; Peng, Yi; Chen, Xiao

doi:10.1109/tlt.2023.3281056

IEEE Trans. Learning Technol.

2023

DOI: 10.1109/tlt.2023.3281056

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Decoding Contextual Factors Differentiating Adolescents’ High, Average, and Low Digital Reading Performance Through Machine-Learning Methods

Jie Hu

Yi Peng

Xiao Chen

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Cited by 4 publications

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Machine learning investigation of optimal psychoemotional well-being factors for students’ reading literacy

Zhai,

Yuan,

Liu

et al. 2024

Educ Inf Technol

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Decoding Contextual Factors Differentiating Adolescents’ High, Average, and Low Digital Reading Performance Through Machine-Learning Methods

Cited by 4 publications

References 80 publications

Machine learning investigation of optimal psychoemotional well-being factors for students’ reading literacy

Machine learning investigation of optimal psychoemotional well-being factors for students’ reading literacy

Examining ICT attitudes, use and support in blended learning settings for students’ reading performance: Approaches of artificial intelligence and multilevel model

Understanding the disparities in Mathematics performance: An interpretability-based examination

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