Master'sOpen Access

Data-driven language learning: The use of concordance lines in vocabulary learning

2017
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Advisor: Prof. Dr. Hatice Sofu

Abstract (EN)

The use of corpora for pedagogical purposes has drawn the interest recently especially with the introduction of Data Driven Learning, and the possible impact of the approach has started to be investigated. This corpus-based study aims explore the effectiveness of corpus use and concordance enriched instruction in the learning of vocabulary. The main purpose of the study was to explore the learning of target words of experimental group, who used hands-on concordancing and control group, who received traditional coursebook-based instruction. The productive use of vocabulary was also explored with writing tasks. Additionally, students' attitudes were also examined in the scope of this study. 58 students from Fırat University aged between 18-22 participated in the study. The study employed a mixed- method research design with which both the quantitative and qualitative data were gathered through vocabulary tests, writing tasks, student questionnaires and semi-structured interviews. The statistical analysis of vocabulary tests results revealed that the students who received Data-Driven instruction outperformed the students who received traditional instruction in both post-tests and delayed post-tests. The findings also indicated that the students in both group showed similar performances in the productive use of the vocabulary items. It was also found that the students held positive attitudes towards using concordancing to expand their vocabulary as well as develop other language skills. Keywords: Corpus-based instruction, data-driven learning (DDL), concordance lines, vocabulary learning, student attitudes

Author

Sibel Tosun

How to Cite

Sibel Tosun (Master Thesis). Data-driven language learning: The use of concordance lines in vocabulary learning, 2017, Çukurova University.

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