19 research outputs found

    A Case Study of Academic Vocabulary in a Novice Student’s Writing at a UK University

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    Mastering appropriate writing style is one of the challenges frequently experienced by novice student writers entering higher education. Developing academic writing skills is, however, crucial for students new to academic settings since written assignments constitute the main form of assessment in tertiary education. Novice student writers thus need to acquire the writing conventions used in academic settings to achieve success in high-stakes assessment. Underlying success in academic writing is the usage of academic vocabulary regarded as a key feature of academic writing style. Through textual analysis accompanied by interview data utilising the ‘talk around text’ technique, this corpus-based case study reports on the deployment of academic vocabulary in four genres of assessed academic writing produced by one international foundation-level student at a UK university. The findings reveal a small number of newly acquired academic vocabulary items deployed in each written assignment with all new academic words having been acquired from reading materials. In addition, the important role that the topic and genre play in student written production becomes apparent. These findings have potentially important pedagogical implication for contexts catering for novice student writers entering tertiary education, such as foundation programmes or pre-sessional courses

    Enhancing student writing with do-it-yourself corpora on a PhD pre-sessional programme

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    As an effective writing course should focus on disciplines and their unique characteristics, practitioners of English for academic purposes (EAP) are often faced with the challenge of addressing the different needs of learners from various fields of study. This article reports on how a data-driven learning (DDL) approach can be applied to enhance student written production in a multidisciplinary classroom in a 10-week PhD pre-sessional programme at a British University. The participants were six international students who used a do-it-yourself (DIY) corpus in weekly DDL sessions to familiarize themselves with discipline-specific academic writing conventions and applying them in their writing. The effectiveness of this approach was investigated through a ‘talk around texts’ technique employed in semi-structured interviews with individual students and their supervisors on programme completion. The findings show that a DDL approach utilizing a DIY corpus has the potential of enhancing PhD student writing in a multidisciplinary classroom on a pre-sessional programme. This article suggests that DDL could be successfully implemented not only in PhD pre-sessional programmes, but also in wider EAP contexts

    Addressing discipline specificity in a multidisciplinary EAP classroom through data-driven learning

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    Mastering academic writing is one of the challenges frequently experienced by university students across all levels and disciplines. As writing remains one of the most common ways of demonstrating knowledge in university settings, developing an appropriate academic style is a vital skill for success. In the context of British universities, academic writing skills are generally catered for by English for Academic Purposes (EAP) provision in the form of pre-sessional and in-sessional courses. Ideally, these courses should focus on the characteristics and conventions of the students’ specific fields of study to meet their academic needs. This, however, poses a challenge for EAP practitioners, who are usually not specialists in the students’ subject domain, amplified by the fact that EAP classes are often taken by a diverse group of learners from a wide range of disciplines. This paper reports on how the issue of discipline specificity in a multidisciplinary EAP classroom in a PhD pre-sessional programme at a British University was addressed by employing a data-driven learning (DDL) approach for the acquisition and development of disciplinary writing conventions including specialised technical vocabulary. After an evaluation of this approach, we conclude that DDL can be usefully implemented in wider EAP contexts to inform students’ knowledge of writing in their disciplines

    Identifying academic phrases in self-compiled corpora: A case study from mathematical sciences

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    Multi-word combinations are a key component of a variety of academic genres. Student writers thus need to master control of these expressions to communicate effectively in their specific contexts. However, multi-word patterns often present a challenge to students at various levels of academic study. This paper reports on a case study exploring how a data-driven learning approach drawing on self-compiled corpora can enhance student writing in preparation for their doctoral study at a British university. The participant was an international student in mathematical sciences who utilized a self-build corpus throughout a ten-week pre-sessional programme to acquire and incorporate multi-word expressions in their writing. The effectiveness of this approach was investigated through a ‘talk around text’ technique in an interview on completion of the pre-sessional programme. The findings show that a self-compiled corpus is a valuable resource for students mastering writing in specific disciplinary contexts

    Core Academic Vocabulary in Four Genres of Novice Student Writing

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    Since written assignments often constitute the main form of assessment in tertiary education, academic writing skills are of paramount importance to university students. The role of academic writing in turn emphasises two aspects vital for successful written production at universities: genre awareness as students are assessed on the production of relevant genres and the use of academic vocabulary regarded as a key element of academic writing style. This study employs a corpus-based approach to explore the usage of academic vocabulary in four genres of assessed academic writing produced by multilingual foundation-level students (N=193) at a UK university. The findings show that in all writing genres there was a small set of core academic vocabulary used by the majority of students in their written assignments, accounting on average for approximately 3.6% – 9% of academic vocabulary types across the genres under investigation. In addition, differences were found in the distribution and function of the core academic vocabulary items across genres. These findings have potentially important pedagogical implications for English for Academic Purposes (EAP) contexts catering for novice student writers
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