The Effectiveness of Automated Written Corrective Feedback on L2 Learners’ Revision Outcomes: A Case for ChatGPT
Yushan Zhou · International Journal of New Developments in Education · 2023
Technological advancements have significantly reshaped L2 teaching pedagogy, leading to extensive application of automated written evaluation (AWE) tools in L2 learning. While previous research has mainly focused on lower-order feedback from traditional AWE tools, higher-order issues have been largely overlooked. The emergence of ChatGPT, a burgeoning large language model, introduces fresh perspectives on automated written corrective feedback (AWCF). This study investigates ChatGPT’s competence in tackling diverse writing challenges, including both lower-order and higher-order aspects, to assist L2 learners in their IELTS writing. It further identifies the comparative strengths and shortcomings of ChatGPT against traditional AWE tools. The findings underscore the importance of tailoring ChatGPT’s feedback to individual needs, highlighting its potential as an AWE resource for writing support. These insights inform the incorporation of ChatGPT in L2 writing instruction, enhancing language proficiency and assessment methods in education.