Description
Data-driven Learning in and out of the Language Classroom examines the innovative use of linguistic corpora and data-informed approaches in language education. This Elements volume provides language teachers and learners with practical strategies for incorporating data-driven methodologies into classroom instruction and independent learning activities.
The authors demonstrate how access to authentic language data enables learners to discover patterns, develop linguistic intuition, and engage in inductive learning. The book covers both theoretical foundations and practical applications, bridging the gap between corpus linguistics research and pedagogical practice. It addresses key considerations such as learner autonomy, technology integration, and scaffolding techniques for different proficiency levels.
Ideal for language educators seeking to modernize their teaching approaches, this resource offers evidence-based strategies for fostering deeper language understanding and promoting learner independence through data exploration.







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