Designing Feedback and Assessment for GenAI‐Assisted Digital Multimodal Composition in L2
Yazarlar (3)
Doç. Dr. Sibel SÖĞÜT Sinop Üniversitesi, Türkiye
Dr. Öğr. Üyesi Ergün Cihat ÇORBACI Sinop Üniversitesi, Türkiye
Volker Hegelheimer Iowa State University, Amerika Birleşik Devletleri
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Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Tesol Quarterly (Q1) | ||
| Dergi ISSN | 0039-8322 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2026 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 03-06-2026 |
| Cilt / Sayı / Sayfa | 0 / 1 / 1–36 | DOI | 10.1002/tesq.70161 |
| Makale Linki | https://doi.org/10.1002/tesq.70161 | ||
| UAK Araştırma Alanları |
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| Özet |
| The rapidly evolving use of GenAI leads to a crucial need for new approaches to instruction and assessment of language skills in DMC tasks. The study adopted a convergent mixed‐methods design within an 11‐week action research framework. The study was conducted with 12 Turkish tertiary‐level L2 learners based on a process‐genre pedagogy to design and test a novel assessment framework. The learners engaged in L2 instruction that integrates co‐authoring with GenAI for brainstorming and idea generation, using GenAI tools for L2 DMC tasks, such as authentic tasks (infographics, digital posters), multimodal essays, and social media posts. Data from needs analysis, learner reflections, peer/self‐assessments, and subject‐matter expert reviews were triangulated to propose a formative assessment framework that consists of a criterion‐referenced analytical rubric, multimodal checklists. This research ... |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 1 |