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

TitleMotivating Students to Learn AI Through Social Networking Sites: A Case Study in Hong Kong
Authors
KeywordsCOVID-19
coronavirus
artificial intelligence learning
extracurricular activities
social networking sites
Issue Date2021
PublisherOnline 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?
AbstractIn 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 Identifierhttp://hdl.handle.net/10722/305067
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorNG, TK-
dc.contributor.authorChu, KW-
dc.date.accessioned2021-10-05T02:39:16Z-
dc.date.available2021-10-05T02:39:16Z-
dc.date.issued2021-
dc.identifier.citationOnline Learning, 2021, v. 25 n. 1, p. 195-208-
dc.identifier.urihttp://hdl.handle.net/10722/305067-
dc.description.abstractIn 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.languageeng-
dc.publisherOnline Learning Consortium. The Journal's web site is located at https://olj.onlinelearningconsortium.org/index.php/olj/index-
dc.relation.ispartofOnline Learning-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCOVID-19-
dc.subjectcoronavirus-
dc.subjectartificial intelligence learning-
dc.subjectextracurricular activities-
dc.subjectsocial networking sites-
dc.titleMotivating Students to Learn AI Through Social Networking Sites: A Case Study in Hong Kong-
dc.typeArticle-
dc.identifier.emailChu, KW: samchu@hku.hk-
dc.identifier.authorityChu, KW=rp00897-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.24059/olj.v25i1.2454-
dc.identifier.scopuseid_2-s2.0-85102780115-
dc.identifier.hkuros326030-
dc.identifier.volume25-
dc.identifier.issue1-
dc.identifier.spage195-
dc.identifier.epage208-
dc.identifier.isiWOS:000625217300013-
dc.publisher.placeUnited States-

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