This independent degree project investigates the vocabulary profiles in English language learning textbooks used in Sweden, and whether the vocabulary profiles follow the expected levels according to the CEFR and The Swedish National Agency for Education. This was done by a corpus-driven method, as well as a lexical analysis using search tools such as the English Vocabulary Profile, Text Inspector, and Compleat Lexical Tutor. The corpus contained texts from six different textbooks used in year 6, year 9, and in the English 7 course, as well as a number of news articles from The Guardian. The news articles served the purpose of comparing the vocabulary levels in the textbooks for English 7 with the vocabulary levels in advanced written English, which is a requirement for students to be able to understand in order to reach the grade E in English 7. The lexical analysis focused on lexical diversity, word families, word frequency, and the CEFR levels. The results showed that the vocabulary levels in the textbooks were appropriate, but that they might not provide enough challenge for students aiming for the higher grades. Results also showed that the vocabulary levels advanced in relation with the school years. The analysis revealed that between 90 and 97 percent of the vocabulary in the texts were categorized as within the CEFR levels that were expected of each of the school years. Pedagogical implictions drawn from this investigation are that teachers should teach about word families and that they can benefit from using the EVP when providing educational material in addition to textbooks.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-64840 |
| Date | January 2017 |
| Creators | Larsson, Salome |
| Publisher | Linnéuniversitetet, Institutionen för språk (SPR) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0091 seconds