This study examined the effectiveness of data-driven learning (DDL), explicit instruction and these two
methods combined in teaching verb+noun (V+N) collocations to advanced Turkish learners of English.
Recognition accuracy of V+N collocations was measured along with participants’ judgment about the
acceptability of these collocations. It also explored the opinions of learners about using corpus in learning
V+N collocations. Quantitative data were analyzed via a one-way independent analysis of variance and
descriptive statistics. Results revealed a statistically significant difference between the three groups in
their recognition accuracy of V+N collocations. While the Explicit-Instruction (EI) Group and the
Combined (C) Group scored significantly higher than the Data-Driven Learning (D) Group, the means of
the EI-Group and C-Group did not significantly differ. With respect to the judgment about the
acceptability of V+N collocations, the EI-Group significantly outperformed the D-Group; but the
difference between the EI-Group and the C-Group; or between the C-Group and the D-Group was not
statistically significant. The questionnaire data showed that the participants found the instruction with
the use of corpus more useful and effective for learning V+N collocations than instruction without
Corpora; corpus consultation; collocation; vocabulary instruction; data-driven learning
Birincil Dil | İngilizce |
---|---|
Konular | Eğitim Üzerine Çalışmalar |
Bölüm | Articles |
Yazarlar | |
Yayımlanma Tarihi | 15 Mart 2017 |
Yayımlandığı Sayı | Yıl 2017 Cilt: 3 Sayı: 1 |