An analysis of Hong Kong high school curriculum with implications for United Nations sustainable development goals

Smart Learning Environments

Research

Shan Tang¹  Chi-Un Lei¹ 

[1] Teaching and Learning Innovation Centre, The University of Hong Kong, Hong Kong, China;

关键词: Sustainable Development Goals;    Curriculum analysis;    K12;    Machine learning;   

DOI  :  10.1186/s40561-023-00267-5

 received in 2023-06-09, accepted in 2023-09-27,  发布年份 2023

来源: Springer

【 摘 要 】

The United Nations Sustainable Development Goals (SDGs) Target 4.7 stated that by 2030, all learners should acquire the knowledge and skills needed to promote sustainable development. However, only scattered studies outline how SDG knowledge has been taught in public K12 curricula. This study aims to identify SDG topics in 13 subjects in the Hong Kong Diploma of Secondary Education curriculum and the perceptions of teachers in relation to SDG education. Data were collected through a machine learning approach and semi-structured interviews. Analysis of the module, subject, and curriculum level was conducted. By examining how teachers perceive in relation to the results of SDG classification and implementation of SDG education, the findings showed that teachers and administrators have adopted positive attitudes towards SDG classification, and supportive government can positively influence teachers and administrators in implementing SDG education. Such findings can be useful for policymakers to develop strategies to facilitate SDG education.

【 授权许可】

CC BY   
© Springer Nature Singapore Pte Ltd., part of Springer Nature 2023

【 图 表 】

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