Motivating Students to Learn AI Through Social Networking Sites: A Case Study in Hong Kong

被引:33
作者
Ng, Davy Tsz Kit [1 ]
Chu, Samuel Kai Wah [1 ]
机构
[1] Univ Hong Kong, Hong Kong, Peoples R China
来源
ONLINE LEARNING | 2021年 / 25卷 / 01期
关键词
COVID-19; coronavirus; artificial intelligence learning; extracurricular activities; social networking sites; gamification; secondary school; EXTRACURRICULAR ACTIVITY PARTICIPATION; WEB; 2.0; GAMIFICATION; SCHOOL; ENGAGEMENT; COMMUNITY;
D O I
10.24059/olj.v25i1.2454
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In Hong Kong, after-school activities have long been used to foster friendships and to allow students to pursue their interests in an informal setting. This case study reports on a three-phase action research process in which information technology teachers delivered after-school activities focused on artificial intelligence during the COVID-19 transition to remote learning. Using semi-structured interviews, a motivational questionnaire, and lesson observations, this study describes how extracurricular activities were delivered online using social networking sites and how students perceived the new experience. Our results suggest that, in order to deploy meaningful activities via social media, teachers need to build collaborative environments that facilitate social engagement among students. These findings have implications for new practices in social media and other blended technologies, and can help students strike a healthy balance between their academic and non-academic life during this challenging period.
引用
收藏
页码:195 / 208
页数:14
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