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Text Type and Text Structure Visualization —AI-Based Analysis and Instructional Design

Shuyuan Lu, Luobing Yang, Jiacheng Xie*

Advances in Linguistics Research / 2026,8(2): 55-68 / 2026-04-22 18 14

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• Information:

  Yangtze University, Jingzhou, China

• Keywords:
  Text Type; Discourse Structure; Generative Artificial Intelligence; Secondary School English; Instructional Design
• Abstract: Through case-based practice, this study explores the capacity of Generative Artificial Intelligence (GenAI) to analyze and visualize text types and structures, as well as its potential to empower instructional design for secondary school English. Findings indicate that GenAI can provide accurate, in-depth, and lucid analyses of discourse types and their macro- and meso-structures. Furthermore, it generates appropriate visualizations and offers creative instructional designs that align with mainstream pedagogical principles, specifically targeting text type awareness and structural competence. The study concludes that elaborated prompt design is the pivotal factor, and such prompts must embody a profound understanding of discourse types and structures, including representative exemplars.
• DOI: 10.35534/lin.0802006 (registering DOI)
• Cite: Lu, S. Y., Yang, L. B., & Xie, J. C. (2026). Text type and text structure visualization—AI-based analysis and instructional design. Advances in Linguistics Research, 8 (2), 55-68.