首页    期刊浏览 2024年12月05日 星期四
登录注册

文章基本信息

  • 标题:Motivating Students to Learn AI Through Social Networking Sites: A Case Study in Hong Kong
  • 本地全文:下载
  • 作者:Tsz Kit Ng ; Kai Wa Chu
  • 期刊名称:Online Learning
  • 印刷版ISSN:2472-5749
  • 电子版ISSN:2472-5730
  • 出版年度:2021
  • 卷号:25
  • 期号:1
  • 页码:195-208
  • DOI:10.24059/olj.v25i1.2454
  • 出版社:Online Learning Consortium
  • 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.
  • 关键词:COVID-19; coronavirus; artificial intelligence learning; extracurricular activities; social networking sites; gamification; secondary school
国家哲学社会科学文献中心版权所有