<![CDATA[This research examines enactive English language acquisition using a hobby-based method, exhibited by the "Tarkam Londo" YouTube video production. Employing enactive learning derived from social cognitive theory, it seeks to provide an innovative viewpoint on English language acquisition. This research employs a qualitative document study methodology to investigate the English learning process by creating and disseminating audiovisual content related to football on a YouTube channel. The data-gathering process involved the examination of informal researcher diaries, football videos, and manually revised English transcripts of selected occurrences. Descriptive and interpretative analyses looked at how the quality of commentator language changed over time and combined documentary information with related research to understand how active learning and hobbies affect English skill development. Data verification employed source triangulation and comprehensive content evolution analysis. Research shows that hobby-orientated enactive learning significantly improves English language acquisition. "Tarkam Londo" serves as an interactive learning approach, resulting in greater English proficiency, increased self-efficacy, improved everyday living, prospective job progression, and mastery of enactive abilities. The provision of consistent football commentary evidence enables continuous language practice. Enactive learning via independent experimentation and reflection on failures is essential for identifying effective techniques, supplemented by vicarious learning. This learning method is also relevant in relation to the concept of technopolitics, namely the use of technology for certain purposes, even though it is not explicitly political. The study finds that combining hobbies with enactive learning in making videos is a good and lasting way to learn English, suggesting similar approaches for other hobbies and calling for more research to test how well it works for students learning English and other languages.]]>
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