Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Testing the viability of ChatGPT as a companion in L2 writing accuracy assessment
70
Zitationen
4
Autoren
2024
Jahr
Abstract
This study explores the effectiveness of ChatGPT as a tool for evaluating linguistic accuracy in second language (L2) writing, situated within the complexity, accuracy, and fluency (CAF) framework. By using the Cambridge Learner Corpus First Certificate in English (CLC FCE) dataset, an error-tagged learner corpus, it compares ChatGPT's performance to human evaluators and Grammarly in assessing errors or accuracy rates across 232 writing samples. The findings indicate a strong correlation between ChatGPT's assessments and human accuracy ratings, demonstrating its precision in automated assessments. In comparison to Grammarly, ChatGPT shows a closer alignment with human judgments and students’ writing scores. Thus, ChatGPT can be a potential tool for enhancing efficiency in L2 research and L2 writing pedagogy.
Ähnliche Arbeiten
BLEU
2001 · 21.010 Zit.
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
2023 · 14.124 Zit.
Enriching Word Vectors with Subword Information
2017 · 9.618 Zit.
A unified architecture for natural language processing
2008 · 5.178 Zit.
A new readability yardstick.
1948 · 5.081 Zit.