Use of AI for Generating and Grading Exam Questions in an Undergraduate English Linguistics Course

Tina Xu Geng; Raquel Raya-Porcel

doi:10.5294/edu.2026.29.1.6

Authors

Tina Xu Geng Author Guangzhou College of Commerce https://orcid.org/0009-0004-2117-9617
Raquel Raya-Porcel Author New College Durham https://orcid.org/0009-0009-4158-3883

DOI:

https://doi.org/10.5294/edu.2026.29.1.6

Keywords:

AI-generated exam grading, ChatGPT, DeepSeek, educational assessment, exams, artificial intelligence

Abstract

This study explores the application of artificial intelligence (AI) in the generation and grading of exam questions for undergraduate English linguistics courses. Specifically, it compares the performance of two AI models, ChatGPT and DeepSeek, in creating fair, coherent, and varied questions, as well as their effectiveness in grading subjective responses. Using a mixed-methods approach that combines quantitative analysis of AI-generated content with comparative evaluation against human criteria, the study identifies key advantages in efficiency, objectivity, and adaptability, along with challenges such as limited contextual understanding and difficulties in assessing creative responses. The findings suggest that while AI can significantly support teaching, its successful implementation requires careful calibration, ongoing supervision, and ethical considerations. The study concludes with practical recommendations for educators to optimize the use of AI-based assessment tools in order to maintain academic standards and improve student performance.

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