Promoting Science, Technology, Engineering, and Mathematics Education in Hong Kong: Using Analytics-supported E-learning to Enhance Student Attitudes and Achievement in Science

Dr Chen, Gaowei   (Principal Investigator (PI))

Emeritus Professor Tsui Amy Bik May   (Co-Investigator)

Dr Cheng Maurice Man Wai   (Co-Investigator)

Professor Chan Carol Kwai Kuen   (Co-Investigator)

Professor Chiu Ming Ming   (Co-Investigator)

Dr Yip Wing Yan Valerie   (Co-Investigator)

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2018-12-27

500148

Promoting Science, Technology, Engineering, and Mathematics Education in Hong Kong: Using Analytics-supported E-learning to Enhance Student Attitudes and Achievement in Science

Collaborative learning, e-learning, Hong Kong Science Education, Learning analytics, STEM education

Education: Research on Teaching & Learning

Humanities & Social Sciences (H)

2017.A8.073.18C

Public Policy Research Funding Scheme

2018

Completed

1) Develop a prototypical platform of the analytics-supported e-learning approach to improve student learning of STEM subjects; 2) Evaluate the effectiveness of the analytics-supported e-learning approach by examining its influence on students’ achievement in science and attitudes toward learning science; 3) Identify the conditions and mechanisms that facilitate or hinder successful implementation of the analytics-supported e-learning approach in schools; 4) Offer implications for policymakers on the feasibility, sustainability, and scalability of the approach for promoting STEM education in Hong Kong.