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Embracing the Disrupted Language Teaching and Learning Field

Analyzing YouTube Content Creation Related to ChatGPT

Bibliographic Data

ID5901259
AuthorsBelle Li (0009-0000-5750-4793), Xiaojing Kou (0000-0001-9058-9960), Curtis J Bonk (0000-0002-6365-9502)
Year2023
Volume8
Issue3
Pages197
Publication date2023-08-22
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguages (JOURNAL)
Journal identifiersISSN: 2226-471X • E-ISSN: 2226-471X
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/languages8030197
OpenAlexW4386070266
LanguageEN
Citations received9
References cited11

Since late 2022, dozens of YouTube channels focusing on a diverse array of topics related to language learning with generative AI tools such as ChatGPT have rapidly emerged. This study explores the implementations and perspectives of YouTube content creators who now constitute an increasingly important segment of the ecosystem of language teaching and learning. A mixed methods netnographic approach was employed, combining qualitative and quantitative techniques. A total of 140 videos were identified and analyzed, and an in-depth content analysis was conducted to uncover underlying themes. Four main categories of creators were identified: educators, learners, technology professionals, and e-learning providers. Educators, especially English and Japanese teachers, were the majority, followed by learners and technology field professionals. This study highlights the benefits, drawbacks, and concerns associated with the integration of AI tools in language learning. By examining this rapidly evolving phenomenon, the study contributes towards an understanding of the role and impact of generative AI tools in language education

Content analysis · Epistemology · Field (mathematics · Generative grammar · Implementation · Language acquisition · Mathematics education · Multimedia · Pedagogy · Phenomenon · Qualitative research · Social science · Sociology · Artificial Intelligence in Healthcare and Education · Computer Science · Online Learning and Analytics · Psychology · Text Readability and Simplification · Artificial Intelligence

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Unique citing works9
Citations per year4,5
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9

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Open DOIOpen Access
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