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Despite the complexity of factors contributing to academic resilience, past studies have mostly focused on a limited number of predictors. Furthermore, much of the existing research has focused on Western contexts. This study aims to provide a comprehensive picture of academic resilience within the East Asian context of Hong Kong, characterized by Confucian values, economic affluence, and yet high levels of income inequality. The TIMSS 2019 Hong Kong data were analyzed using a machine learning approach. The relative importance of opportunity, propensity, and antecedent factors revealed that students’ confidence, home resources, liking for learning, valuing of the subject, instructional clarity, and instructional time were the most important factors of academic resilience. Theoretical and practical implications are discussed.
Faming Wang, The University of Hong Kong
Presenting Author
Lingyi FU, The University of Macau
Presenting Author
Shing On Leung, University of Macau
Non-Presenting Author
Ching Sing Chai, Chinese University of Hong Kong
Non-Presenting Author
Ronnel B. King, Chinese University of Hong Kong
Non-Presenting Author