AI赋能高考语文信息类文本阅读的实践路径与挑战应对

Practical Paths and Countermeasures for AI-Enhanced Reading of Informational Texts for the Chinese College Entrance Examination

摘要: 在新高考语文素养导向与教育数字化背景下，信息类文本阅读是考查逻辑思维的核心题型。针对当前教学中存在的文本处理效率不高、选择题逻辑辨析薄弱、主观题反馈滞后以及分层指导不足等问题，本文结合近年来高考真题与高中教学案例，分析人工智能在文本解析、学情诊断、习题生成等在信息类文本阅读教学方面的应用价值。研究认为AI能有效提升学生阅读备考质量，具有广阔的应用前景，但也面临数据依赖、技术滥用等现实挑战。基于此提出要坚持教师主导、学生主体、人机协同的基本原则，要求技术赋能与人文育人相协同的优化策略，为高中语文信息类文本阅读教学提质增效提供参考。

Abstract: Under the context of the new college entrance examination’s Chinese literacy orientation and the digitalisation of education, reading information-type texts is a core question type for assessing logical thinking. Addressing issues in current teaching such as low efficiency in text processing, weak logical reasoning in multiple-choice questions, delayed feedback on subjective questions, and insufficient tiered guidance, this paper analyses the application value of artificial intelligence in text analysis, learning diagnosis, and exercise generation for information-type text reading instruction, based on recent college entrance examination questions and high school teaching cases. The study suggests that AI can effectively improve students’ reading preparation quality and has broad application prospects, but it also faces practical challenges such as data dependency and technology misuse. Based on this, it is proposed to adhere to the basic principles of teacher guidance, student centricity, and human-machine collaboration, and to require optimisation strategies that integrate technological empowerment with humanistic education, providing a reference for improving the quality and efficiency of high school Chinese instruction in information-type text reading.