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
复制标题
通过社交网站激励学生学习人工智能：香港案例研究
作者：
Tsz Kit Ng;K. Chu
在香港，课外活动一直被用来培养友谊，让学生在非正式的环境中追求自己的兴趣。本案例研究报告了一个三阶段的行动研究过程，其中信息技术教师在COVID-19过渡到远程学习期间提供了以人工智能为重点的课后活动。使用半结构化访谈，动机问卷，和教训的意见，本研究描述了如何课外活动提供在线使用社交网站和学生如何看待新的经验。我们的研究结果表明，为了通过社交媒体部署有意义的活动，教师需要建立协作环境，促进学生之间的社会参与。这些发现对社交媒体和其他混合技术的新实践具有影响，可以帮助学生在这个充满挑战的时期在学术和非学术生活之间取得健康的平衡。
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.