Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Evaluating ChatGPT’s Reliability in Grading Writing Assignments on the EOP Learning Platform
0
Zitationen
2
Autoren
2025
Jahr
Abstract
As Artificial Intelligence (AI) is being used more and more in education, utilizing AI to grade the writing of students is a concern for trustworthiness. Using a mixed-methods research design that combines both quantitative and qualitative data collection tools -questionnaires and semi-structured interviews - this study investigates the reliability of using ChatGPT to mark students' writing assignments on the EOP online learning platform (https://eop.edu.vn/) compared with human evaluators at the School of Languages and Tourism, Hanoi University of Industry. The findings provide the advantages and limitations of AI-supported grading, highlighting the accuracy, consistency, and alignment with human grading criteria of AI grading. The attitudes of teachers toward AI scoring are also examined in this paper to determine its accuracy. Recommendations for enhancing AI scoring systems to enable more effective and fairer assessments are provided based on the findings. The research contributes to the academic literature on the use of AI in education, emphasizing the importance of sustaining the enhancement of AI-driven evaluation tools to enable effective and fairer online learning.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.292 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.143 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.539 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.452 Zit.