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

EIR

Educational Innovation Research

3029-18443029-1852

WHIOCE PUBLISHING PTE. LTD.

10.18063/EIR.v4i1.1305

Article

Research on the Application Effectiveness and Optimization Strategies of Generative AI Grading in English Writing Instruction at Tibetan Senior High Schoolshttps://artdesignp.com/journal/EIR/4/1/10.18063/EIR.v4i1.1305QiuHaiwan,DejiTsering

2026

2026-01-26

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.Generative AI,English writing instruction in Xizang,Handwritten essay grading,Application effectiveness,Optimization strategies

[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.