A specialized vocabulary list from an original corpus of digital science resources for middle school learners. Issue 60 (November 2022)

• Record Type: Journal Article
• Authors: Arndt, Rebeca
• Is Part Of: Journal of English for academic purposes. Issue 60(2022)
• Publication Date: 2022-11
• Subjects: English language -- Study and teaching (Higher) -- Periodicals; Academic writing -- Periodicals; 420.711
• DOI: 10.1016/j.jeap.2022.101187
• Languages: English
• ISSNs: 1475-1585

Abstract

Highlights: A digital science corpus from middle school resources was assembled. The corpus consists of approximately 2.7 million tokens. A type-based specialized list was extracted using three instruments and seven inclusion criteria. The lexical coverage of the lists was compared with the lexical coverage of four other secondary science lists. The list could be used as a tool for specialized vocabulary learning in science classrooms where digital science resources are used.