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- Publisher Website: 10.24059/olj.v25i1.2454
- Scopus: eid_2-s2.0-85102780115
- WOS: WOS:000625217300013
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Article: Motivating Students to Learn AI Through Social Networking Sites: A Case Study in Hong Kong
Title | Motivating Students to Learn AI Through Social Networking Sites: A Case Study in Hong Kong |
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Authors | |
Keywords | COVID-19 coronavirus artificial intelligence learning extracurricular activities social networking sites |
Issue Date | 2021 |
Publisher | Online Learning Consortium. The Journal's web site is located at https://olj.onlinelearningconsortium.org/index.php/olj/index |
Citation | Online Learning, 2021, v. 25 n. 1, p. 195-208 How to Cite? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/305067 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | NG, TK | - |
dc.contributor.author | Chu, KW | - |
dc.date.accessioned | 2021-10-05T02:39:16Z | - |
dc.date.available | 2021-10-05T02:39:16Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Online Learning, 2021, v. 25 n. 1, p. 195-208 | - |
dc.identifier.uri | http://hdl.handle.net/10722/305067 | - |
dc.description.abstract | 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. | - |
dc.language | eng | - |
dc.publisher | Online Learning Consortium. The Journal's web site is located at https://olj.onlinelearningconsortium.org/index.php/olj/index | - |
dc.relation.ispartof | Online Learning | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | COVID-19 | - |
dc.subject | coronavirus | - |
dc.subject | artificial intelligence learning | - |
dc.subject | extracurricular activities | - |
dc.subject | social networking sites | - |
dc.title | Motivating Students to Learn AI Through Social Networking Sites: A Case Study in Hong Kong | - |
dc.type | Article | - |
dc.identifier.email | Chu, KW: samchu@hku.hk | - |
dc.identifier.authority | Chu, KW=rp00897 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.24059/olj.v25i1.2454 | - |
dc.identifier.scopus | eid_2-s2.0-85102780115 | - |
dc.identifier.hkuros | 326030 | - |
dc.identifier.volume | 25 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 195 | - |
dc.identifier.epage | 208 | - |
dc.identifier.isi | WOS:000625217300013 | - |
dc.publisher.place | United States | - |