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New Interpretation of Extracurricular Activities via Social Networking Sites: A Case Study of Artificial Intelligence Learning at a Secondary School in Hong Kong

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  • Tsz Kit Ng

Abstract

During the COVID-19 pandemic, attending after-school activities now becomes a luxury to students, which used to establish interests, friendships and social networks in an informal setting. Students lost contact with peers and teachers and were forced to attend blended courses at home, which may constitute threats to their non-academic issues, especially social needs and mental health of the most vulnerable students. This article overviews a new interpretation of extracurricular activities (ECAs) to teach artificial intelligence (AI) via a social networking site (SNS) among junior secondary school students in Hong Kong. A three-stage action research with the use of semi-structured interviews, motivational surveys and lesson observation was conducted. Based on how students perceived such pedagogical changes, the teachers employed various strategies to transform the “after-school†activities online. The investigation presented the planning processes on how to transform the informal learning activities to an online mode via SNSs that can reach the roles of ECAs in schooling. Our study indicated that meaningful activities rely on teachers’ leading role to build a collaborative social media environment in order to facilitate social engagement among students.

Suggested Citation

  • Tsz Kit Ng, 2021. "New Interpretation of Extracurricular Activities via Social Networking Sites: A Case Study of Artificial Intelligence Learning at a Secondary School in Hong Kong," Journal of Education and Training Studies, Redfame publishing, vol. 9(1), pages 49-60, January.
    • Handle: RePEc:rfa:jetsjl:v:9:y:2021:i:1:p:49-60
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    References listed on IDEAS

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    1. Al-Bahrani, Abdullah & Patel, Darshak & Sheridan, Brandon, 2015. "Engaging students using social media: The students’ perspective," International Review of Economics Education, Elsevier, vol. 19(C), pages 36-50.
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    Cited by:

    1. Yu Zhang, 2022. "The construction of college students' sports health management service platform based on artificial intelligence," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1102-1110, December.

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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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