Navigating the textual maze: Enhancing textual analytical skills through an innovative GAI prompt framework

Xuefan LI, Tingsong LI, Minjuan WANG, Sining TAO, Xiaoxu ZHOU, Xiaoqing WEI, Naiqing GUAN

Research output: Contribution to journalArticlespeer-review

Abstract

With the rapid advancement of Generative Artificial Intelligence (GAI), its application in educational settings has increasingly become a focal point, particularly in enhancing students' analytical capabilities. This study examines the effectiveness of the ChatGPT prompt framework in improving text analysis skills among students, specifically targeting readability, accuracy, completeness, logicality, and critical thinking. Conducted among high school students in Canada, the research assesses how GAI prompt frameworks significantly affect the quality of students' analytical responses. Results showed significant improvements in all five aspects of readability, accuracy, completeness, logicality, and critical thinking, especially for students with no prior knowledge of the topic. However, enhancements in completeness and critical thinking were less pronounced, suggesting that while the ChatGPT framework substantially supports basic analytical skills, its effectiveness varies depending on the complexity of cognitive tasks and the extent of students' existing knowledge. The study underscores the significant role advanced GAI tools can play in modern educational environments, promoting deeper engagement with learning materials and enhancing students' analytical abilities. It highlights the necessity of integrating these technologies to cater to diverse learning needs and cognitive challenges. Copyright © 2025 IEEE.

Original languageEnglish
Pages (from-to)206-215
JournalIEEE Transactions on Learning Technologies
Volume18
Early online date2025
DOIs
Publication statusPublished - 2025

Citation

Li, X., Li, T., Wang, M., Tao, S., Zhou, X., Wei, X., & Guan, N. (2025). Navigating the textual maze: Enhancing textual analytical skills through an innovative GAI prompt framework. IEEE Transactions on Learning Technologies, 18, 206-215. https://doi.org/10.1109/TLT.2025.3539104

Keywords

  • GAI (Generative Artificial Intelligence)
  • ChatGPT
  • Prompt framework
  • Text analysis
  • Educational applications

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