Please use this identifier to cite or link to this item: http://hdl.handle.net/10077/3193
Title: Discovering Language through Corpora: the Skills Learners Need and the Difficulties they Encounter
Authors: Bianchi, Francesca
Manca, Elena
Keywords: corpus analysisskillsstudent difficultiesanalysis of project worksteaching planning
Issue Date: 2008
Publisher: EUT Edizioni Università di Trieste
Source: Francesca Bianchi, Elena Manca, "Discovering Language through Corpora: the Skills Learners Need and the Difficulties they Encounter", in: Christopher Taylor (edited by), Ecolingua. The Role of E-corpora in Translation and Language Learning, pp.93-112
Abstract: 
Most scholars agree on considering corpora as a valuable source of linguistic information for native and non-native speakers alike. Few researchers, however, have dealt with and systematically analysed the objective difficulties encountered by students while trying to exploit corpus data. The current paper describes a quantitative study of corpus consultation by learners and aims to establish whether different corpus analysis tasks can be considered to have different degrees of intrinsic difficulty. To this end, 26 corpus project work assignments produced by two different groups of students were assessed and tagged according to specific parameters that reflect the skills needed in corpus analysis. The data were analysed applying both parametric (ANOVA) and non parametric tests (Mann-Whitney U-test), which showed that, despite clear individual and teaching/learning environment differences between the two groups of students, the students’ results in most of the tasks were due to different levels of intrinsic difficulty. This led to the creation of a General Difficulty List of Corpus Analysis Tasks.
Type: Book Chapter
URI: http://hdl.handle.net/10077/3193
ISBN: 978-88-8303-252-3
Appears in Collections:Ecolingua: the Role of E-corpora in Translation and Language Learning

Files in This Item:
File Description SizeFormat
04Bianchi_Manca.pdf240.5 kBAdobe PDFThumbnail
View/Open
Show full item record


CORE Recommender

Page view(s) 20

905
checked on Jan 29, 2023

Download(s) 20

1,538
checked on Jan 29, 2023

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.