This study delves into the potential role of big data and data-driven language learning in shaping the language learning landscape within the Saudi Arabian context. A comprehensive literature review, following the four main phases of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines involving Boolean operators (AND, OR, NOT) to employ specific inclusion/exclusion criteria as well as truncation techniques across major academic databases and prominent journal publishers, revealed a significant gap in research about how data-driven approaches influence language teaching in the Saudi educational context and sociocultural environment. As such, this study aims to illuminate the need to fill the identified gap by providing insight into future avenues for exploring big data’s role in language pedagogy specific to Saudi Arabia. By addressing the main research question of how big data can influence and enhance language learning, this research underscores the importance of developing innovative, data-informed strategies that align with Saudi Arabia’s educational goals. Ultimately, findings will inform and recommend various approaches to empower language educators, policymakers, and stakeholders in harnessing the transformative potential of big data. This will enable the development of data-driven strategies to foster linguistic competence, promote lifelong language learning, and cultivate a data-driven culture of language proficiency among Saudi students. The research provides valuable insights into an understudied area at the intersection of big data, language pedagogy, and the distinct Saudi educational landscape
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