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ERIC Number: ED564175
Record Type: Non-Journal
Publication Date: 2015-Aug
Pages: 7
Abstractor: As Provided
Reference Count: 8
Collecting, Analysing and Using Longitudinal Learner Data for Language Teaching: The Case of LONGDALE-IT
Castello, Erik, Paper presented at the 2015 EUROCALL Conference (22nd, Padova, Italy, Aug 26-29, 2015)
This study aims to investigate the effectiveness of Data-Driven Learning (DDL) teaching materials based on learner corpus data. The data analysed is made up of texts written by a group of Italian university students and collected as part of the Italian component of the "Longitudinal Database of Learner English" (LONGDALE) project: LONGDALE-IT. All the students participating in the project wrote two texts as a response to the same prompt, one in the first and the other in the second year at university. The data collected in the first year was used to create some DDL materials, which were administered to the students in the second year with the aim of helping them improve on various aspects of their writing, including their use of "it"-extraposition. In this paper, the first-year learner data will be compared to the second-year learner data, and subsequently to a sub-section of the "Louvain Corpus of Native English Essays" (LOCNESS). Quantitative and qualitative findings concerning the use of it-extraposition in the learner texts will be discussed, with a view to determining the impact of DDL teaching materials on the learning process. [For full proceedings, see ED564162.] La Grange des Noyes, 25110 Voillans, France. e-mail:; Web site:
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Italy