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Seminar: Influencing Factors on Resilient Students: A Study Based on PISA 2018 Data through Machine Learning

Event type

Seminar

21Mar
Date

Date

March 21, 2024 (Thu)

Mode

Online by Zoom

Time

12:30 PM - 1:30 PM

Speaker

Professor Ningning Zhao
Seminar: Influencing Factors on Resilient Students: A Study Based on PISA 2018 Data through Machine Learning

Influencing Factors on Resilient Students: A Study Based on PISA 2018 Data through Machine Learning
 

Prof. ZHAO Ningning

Associate Professor, Beijing Normal University


Date:    21 March 2024 (Thursday)
Time:   12:30 - 1:30 pm

Mode:  Online mode by Zoom

Language: English

(Chair: Prof. LIN Chin-Hsi, Director of CACLER)

(Discussant: Prof. LAM Wai Ip, Co-investigator of PISA 2025)

 

Registration:

https://hku.zoom.us/meeting/register/tJIld-CprjotGNARDU8dxERijVDWYxtUKQh-#/registration


Abstract:

This study explored the factors influencing the academic resilience of disadvantaged students using PISA 2018 data. The Boruta algorithm was employed to identify key factors, while XGBoost was used to predict students’ resilience in reading, math, and science. The Shapley Additive Explanations (SHAP) framework was utilized to estimate the impact of significant factors. The results showed five common factors among the top ten in the three subjects, including sense of meaning in life, classroom disciplinary climate, perception of cooperation at school, expected career status, and fear of failure. Variations in other factors were observed across the different resilience domains. This study offers fresh insights into academic resilience and highlights the critical need to nurture academic resilience among disadvantaged students.


About the speaker:

Ningning Zhao is a Professor in the Department of Chinese Language Educational Studies at Beijing Normal University. With expertise in educational assessment and research, she holds a Ph.D. in Curriculum and Instruction. Her research interests include curriculum development, instructional strategies, and quantitative analysis in social science. Professor Zhao has actively participated in various research projects, including textbook evaluation and education quality assessment. Her commitment to improving educational practices is evident through her diverse experiences and involvement in social work.
 

Inquiry: cacler@hku.hk
 

Co-hosted by Language and Literacy Education (LALE) Unit; The Consortium for Research on Language Policy and Practice

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