Motivating students to learn AI through social networking sites: A case study in Hong Kong

Motivating students to learn AI through social networking sites: A case study in Hong Kong

• Ng, Davy Tsz Kit The University of Hong Kong
• Chu, Samuel Kai Wah The University of Hong Kong

Online Learning, 25(1), 195-208, 2021

Online Learning

2021

• N 學生與學生服務
  • NM 學生生活與閒暇活動、暑期活動、同儕群
• S 學校環境、設備與組織
  • SF 資訊科技

COVID-19 Coronavirus Artificial Intelligence Learning Extracurricular Activities Social Networking Sites Gamification Secondary School

• Hong Kong

• 1997.7 onwards

• 未指定或無法歸類

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. Copyright © 2021 Online Learning.

• 英文

期刊論文

• 24725749

https://bibliography.lib.eduhk.hk/tc/bibs/5c12e41d

2022-04-20