English for Specific Purposes (ESP) educators often face dilemma in deciding what lexical items to teach their students. In the field of English for Nursing Purposes (ENP), there is no exception on this issue as well. Only by analyzing the nursing corpus made up of essential core textbooks that can provide better insights and guide to both nursing students and educators. This research aims to highlight the 2,000 most frequently used nursing words across the core textbooks of nursing and to profile the types of 'low frequency' lexis which comprise the nursing corpus in terms of the General Service List (GSL) and Academic Word List (AWL) lexis coverage. By knowing the frequently used nursing words would further reduce students' reading deficiency if the students use the 2000-word list.
It is difficult for most of the second language learners in Malaysia to function proficiently in English language due to limited vocabulary knowledge. It has also been challenging for TESL graduates to fit in as ENP teachers due to the lack of specialized vocabulary knowledge in nursing field. Thus, a course books has always been a highly dependable aid in facilitating the teaching and learning in an ENP classroom. The objective of this research is to identify the possible pedagogical aspects of two ENP commercial course books (Oxford English for Careers Nursing 1” (OEFCN1) written by Tony Grice and “Nursing Your English Second Edition” (NYE) by Siti Salina Salim and Mazura Mastura Muhammad) in socializing learners into their discourse communities. The present research looks at the extent of vocabulary coverage in comparison with General Service List (GSL), Academic Word List (AWL), Nursing Education Word List (NEWL) and the 2,000 most frequent nursing words. These course books were photocopied, scanned and converted into computer text files before they were analyzed using WordSmith 4.0 as it is able to provide elemental knowledge on the vocabulary coverage in both course books. The results indicated that both books showed significant result in terms of their coverage based on the three word lists. On the other hand, it is proven that the 2000 most frequent nursing words wordlist is not able to cover as much tokens as compared to GSL, AWL and NEWL combined.
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