UNLEASHING THE POTENTIAL OF DATA-DRIVEN LEARNING (DDL) IN LANGUAGE TEACHING AND LEARNING

Humairah Fauziah

Abstract


Data-driven learning (DDL) is a pedagogical strategy that makes use of real-world linguistic data to improve language acquisition. DDL has the potential to equip students with a variety of essential learning abilities, such as a component of discovery learning that makes learning more engaging and encourages students to take an active role in their own learning. DDL enables students to analyze and identify linguistic patterns, enhance their language proficiency, and gain metalinguistic awareness by using corpora and concordancers. in order for learners to actively engage with language data and uncover linguistic patterns and rules, DDL changes the emphasis from standard grammar education to a more learner-centered approach. the article discusses the idea of DDL and its implications for language education, emphasizes the advantages of DDL in students' language development, acknowledges the limitations and difficulties of DDL, and suggests potential solutions to address these difficulties by using examples from previous research studies to show how DDL activities affect language learning outcomes.

Keywords: Data-Driven Learning (DDL), Direct Use of Corpora, Discovery Learning, Indirect Use of Corpora.


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References


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