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

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...

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Bibliographic Details
Main Authors: Tsz Kit Ng, Kai Wa Chu
Format: Article
Language:English
Published: Online Learning Consortium 2021-03-01
Series:Online Learning
Subjects:
Online Access:https://olj.onlinelearningconsortium.org/index.php/olj/article/view/2454
Description
Summary: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.
ISSN:2472-5749
2472-5730