Image de couverture de livre

Expert versus novice academic writing: a Multi-Dimensional analysis of professional and learner texts in different disciplines

Enregistré dans:
Publié dans:Language Learning in Higher Education vol. 15, no. 1 (2025), p. 87
Auteur principal: Smirnova, Elizaveta
Publié:
Walter de Gruyter GmbH
Sujets:
Academic writing
Second language learning
Students
Computerized corpora
Computer science
Second language writing
Corpus linguistics
Experts versus novices
Writing
Discriminant analysis
Variables
Business education
Linguistics
Political science
Core curriculum
Dimensional analysis
Academic disciplines
Scholarship
Economics
Factor Analysis
Academic Language
Educational Methods
Teaching Methods
Novices
Discourse Communities
English for Academic Purposes
Literary Genres
Educational Strategies
Grammar
Accès en ligne:Citation/Abstract
Full Text - PDF
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
Résumé:This study employs Douglas Biber’s Multi-Dimensional analysis (1988) in order to estimate the degree of similarity and difference between expert and novice academic writing in different disciplines. The Multi-Dimensional analysis was applied to two kinds of corpora: an approximately 700,000-word corpus of L2 students’ writing and a 3,700,000-word corpus of professional writing in six sciences (business studies, computer science, economics, history, law, and political science). It was found that there are significant differences in the realisation of Biber’s dimensions between the disciplines under consideration, as well as between the learners’ and experts’ texts. The results show that the novice writing is less narrative, more explicit, more opinionated and less abstract compared to the texts written by professionals.
ISSN:2191-611X
2191-6128
DOI:10.1515/cercles-2024-0060
Source:Education Database