What are language learners looking for in a collocation consultation system Identifying collocation look-up patterns with user query data

Wu, Shaoqun and Fitzgerald, Alannah and Yu, Alex and Chen, Zexuan (2020) What are language learners looking for in a collocation consultation system Identifying collocation look-up patterns with user query data. What are language learners looking for in a collocation consultation system? Identifying collocation look-up patterns with user query data . (In Press)

[img] PDF (article) - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Attribution.

2746Kb

Official URL: https://www.cambridge.org

Abstract or Summary

Corpus consultation with concordancers has been recognised as a promising way for learners to study and explore language features such as collocations at their own pace and in their own time. This study examined 1.5 million search queries sent to a collocation consultation tool called FlaxCLS (Flexible Language Acquisition Collocation Learning System http://flax.nzdl.org) over a period of two years to identify learners’ collocation look-up patterns. This paper examines and characterises learners’ look-up patterns as they entered search queries, clicked on the query formation aids provided by the system, and navigated through the different levels of collocation information returned by the system to support collocation learning. We looked at how learners formulated query terms, and we analysed the characteristics of query words learners entered, the characteristics of collocations they preferred, and the sample sentences they checked. Our collocation look-up pattern analyses, similar to traditional user query analyses of the Web, provide interesting and revealing insights that are hard to obtain from small-scale user studies. The findings provide valuable information and pedagogical implications for DDL researchers and language teachers in designing tailored collocation consultation systems and activities. This paper also presents multi-dimensional analyses of learner query.

Item Type:Journal article
Keywords that describe the item:collocations, corpus, concordance, vocabulary learning, learning system, user data
Subjects:L Education > LC Special aspects of education > LC5201 Education extension. Adult education. Continuing education
Q Science > QA Mathematics > QA76 Computer software
Divisions:Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
ID Code:7627
Deposited By:
Deposited On:09 Dec 2020 22:28
Last Modified:09 Dec 2020 22:28

Repository Staff Only: item control page