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Volume 4,Issue 1

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26 January 2026

Research on the Application Effectiveness and Optimization Strategies of Generative AI Grading in English Writing Instruction at Tibetan Senior High Schools

Haiwan Qiu* Tsering Deji1
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1 School of Foreign Languages and Cultures, Xizang University, Lhasa 850000, Xizang, China
EIR 2026 , 4(1), 94–101; https://doi.org/10.18063/EIR.v4i1.1305
© 2026 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

This study explored Generative AI (GAI)’s applicability in English writing instruction for 53 Tibetan senior high school students in Lhasa via mixed methods, analyzing the impact of its handwritten essay grading function and identifying implementation challenges with improvement strategies. GAI performs well in basic error correction and efficient feedback, improving students’ writing scores (more notably for intermediate-level and high-level learners) and stimulating their writing confidence to some extent, yet has technical limitations like recognition errors, inconsistent grading and emotionless feedback. Strategies including blended feedback, localized technical optimization and redefined teacher roles were proposed to inform digital education development in ethnic regions.

Keywords
Generative AI
English writing instruction in Xizang
Handwritten essay grading
Application effectiveness
Optimization strategies
Funding
Xizang University Graduate High-Level Talent Cultivation Program (Project No.: 2025-GSP-S108)
References

[1] The Central Committee of the Communist Party of China and the State Council, 2025, The Outline of the Plan for Building an Education Powerhouse (2024–2035). People’s Daily, January 20, 2025, 6.

[2] Yangjin Q, 2011, Research on the Current Status and Countermeasures of English Teaching in Tibetan Primary and Secondary Schools. Journal of Xizang University (Social Sciences Edition), 26(3): 163–169.

[3] Xiao C, Chen H, 2023, Psychological Distress and Coping Strategies for Tibetan Students’ Lack of Motivation in English Learning. Journal of Xizang University (Social Sciences Edition), 38(3): 233–240.

[4] Liu M, Zou W, Zong M, et al., 2025, How Generative AI Empowers Teaching: An Empirical Study on English Writing Instruction for Secondary School Students. China Educational Technology, 2025(6): 70–79.

[5] Zhang S, Xu J, 2019, The Impact of Online Automated Feedback on Writing Among English Learners of Different Proficiency Levels from a ZPD Perspective. Foreign Languages and Foreign Language Teaching, 2019(5): 30–39.

[6] Fang F, Wu Q, 2025, Exploring Metalinguistic Practices and Learner Agency in English Media Instruction under Generative AI. Frontiers in Foreign Language Education Research, 8(4): 13–23.

[7] Sun P, Xu J, Zhang J, 2025, Research on the Value-Added Benefits of Generative AI Feedback for College Students’ English Writing Quality. Frontiers in Foreign Language Education Research, 8(4): 24–36.

[8] Lu Y, Tang X, 2025, Hierarchical Levels and Progression Pathways of Generative AI-Empowered Classroom Instruction. Research on Educational Technology, 46(6): 75–82.

[9] Li M, Yang Y, 2025, Rational Understanding of the Promoting Role of Educational Digitalization in Educational Transformation. Frontiers of Foreign Language Education Research, 8(4): 37–44.

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