This chapter introduces a learner-friendly, meaning-order approach to pedagogical grammar for English (hereafter, MAP Grammar), developed for communicative purposes, and examines its effective application in grammar instruction. The approach is primarily characterized by three key elements: (1) minimizing reliance on metalanguage, such as “object” and “complement”; (2) visualizing the structure of sentences or clauses; and (3) organizing grammatical items within a two-dimensional framework that enables learners to identify their current stage of learning and decide their direction forward. Unlike traditional approaches, which often present grammar as a series of isolated, sequential units, this approach fosters a holistic understanding of the interconnections among grammatical features. Through clear and structured visualizations, it supports learners in developing communicative competence while reducing the cognitive load typically associated with grammar study. The chapter concludes by demonstrating how generative artificial intelligence can be applied to MAP Grammar, illustrating how this integration enhances the accessibility, effectiveness, and meaningfulness of grammar instruction.

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Teaching English Grammar for Communicative Purposes: A Learner-Friendly Approach Utilizing Generative AI

  • Akira Tajino

摘要

This chapter introduces a learner-friendly, meaning-order approach to pedagogical grammar for English (hereafter, MAP Grammar), developed for communicative purposes, and examines its effective application in grammar instruction. The approach is primarily characterized by three key elements: (1) minimizing reliance on metalanguage, such as “object” and “complement”; (2) visualizing the structure of sentences or clauses; and (3) organizing grammatical items within a two-dimensional framework that enables learners to identify their current stage of learning and decide their direction forward. Unlike traditional approaches, which often present grammar as a series of isolated, sequential units, this approach fosters a holistic understanding of the interconnections among grammatical features. Through clear and structured visualizations, it supports learners in developing communicative competence while reducing the cognitive load typically associated with grammar study. The chapter concludes by demonstrating how generative artificial intelligence can be applied to MAP Grammar, illustrating how this integration enhances the accessibility, effectiveness, and meaningfulness of grammar instruction.