L2 Learners’ Perspectives on Data-Driven Learning for Identifying Properties of Near-Synonymous Words: A Convergent Mixed-Methods Study
Yazarlar (1)
Doç. Dr. Sibel SÖĞÜT Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(ESCI dergilerinde yayınlanan tam makale)
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| Dergi Adı | GIST-EDUCATION AND LEARNING RESEARCH JOURNAL | ||
| Dergi ISSN | 1692-5777 Dergi Bilgileri (2023) | ||
| Dergi Tarandığı Indeksler | ESCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 07-2023 |
| Cilt / Sayı / Sayfa | 27 / 27 / 71–92 | DOI | 10.26817/16925777.1777 |
| Makale Linki | https://latinjournal.org/index.php/gist/article/view/1777/1512 | ||
| UAK Araştırma Alanları |
İngiliz Dili Eğitimi
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| Özet |
| This study examines second language (L2) learners' perspectives regarding the affordances and challenges of using the Data-Driven Learning (DDL) to identify the properties of near-synonymous words. Employing a convergent mixed-method design, this study deciphers the perceptions of 40 undergraduate L2 learners majoring in English language teaching. After an initial identification of the learners' vocabulary levels, the experienced benefits and barriers associated with carrying out experiential tasks were elicited via questionnaire data and open-ended survey questions. Descriptive statistics, including means and standard deviations, were revealed and thematic analyses of the responses to the survey questions were documented. The results indicate that completing tasks through the corpus was found to enhance their knowledge of collocations. Integrating corpus tasks into YouGlish (an online practice tool for authentic spoken English in context) was found to increase their awareness of the |
| Anahtar Kelimeler |
| data-driven learning | vocabulary learning | near-synonymous words | L2 learners | learner perspectives |
BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 1 |