Vocabulary knowledge is one of the strongest predictors of reading comprehension and overall language proficiency, yet many learners spend large amounts of time studying low-frequency or poorly sequenced words. Research in corpus linguistics, frequency-based word lists, and extensive reading suggests that learners benefit most when instruction is anchored in high-frequency vocabulary and supported by large amounts of comprehensible input.

This 60-minute hands-on workshop introduces a technology-supported framework for vocabulary learning that integrates the New General Service List (NGSL), extensive reading principles, and AI-enhanced corpus tools. Participants will explore how NGSL-aligned digital tools can be used to profile texts, evaluate lexical coverage, and generate level-appropriate reading and vocabulary materials. Through guided activities and live demonstrations, attendees will see how teachers can determine whether a text is suitable for a learner group, adapt authentic materials to different proficiency levels, and design vocabulary tasks that promote noticing, retrieval, and recycling.

The workshop is grounded in research on frequency effects, lexical coverage, and input-based learning, while also demonstrating how recent AI technologies can operationalize these principles in classroom practice. Participants will leave with practical experience using NGSL-based tools for vocabulary teaching and materials development.