Sisal Journal, Volume 16, Issue 2, Pages 461-472 , 01/06/2025
Exploring WhatsApp Meta AI in Self-Directed English Learning: A Critical Analysis Through Activity Theory
Abstract
Self-directed learning (SDL) serves as a foundation of language acquisition, enabling learners to take ownership of their linguistic development. WhatsApp Meta AI, a versatile digital tool, offers a promising platform for mediating SDL in English education. By examining the interactions among learners, the tool, and the broader learning environment through the framework of Activity Theory, this article explores the potential advantages and limitations of this technology. Although WhatsApp Meta AI supports foundational skill development, including writing assistance, speaking and listening practice, reading comprehension, and test preparation, it also presents challenges, such as overreliance on AI-driven feedback and reduced opportunities for social interaction. Optimizing its impact requires a balanced approach that integrates the tool with complementary learning resources and strategies, fostering a more holistic and effective SDL experience.
Document Type
Article
Source Type
Journal
Keywords
activity theoryEnglish skillsself-directed English learningWhatsApp meta-AI features
ASJC Subject Area
Arts and Humanities : Language and LinguisticsSocial Sciences : EducationSocial Sciences : Linguistics and LanguageComputer Science : Computer Science Applications