AI Boosts Deep Learning In Chinese High School English Classes

A 2025 study finds AI-driven teaching boosts deep learning and critical thinking in Chinese high school English, improving student engagement and creativity.

A new research shows that artificial intelligence (AI) can boost deep learning in high school English reading lessons across China. A study published in Frontiers in Education examines how AI-based teaching approaches drive students to advance past rote memorization and build their critical thinking abilities.

Traditional English teaching in China requires students to memorize vocabulary and grammar rules to achieve exam success. The researchers explain that this teaching method shows limitations in developing both deep understanding, and creative thinking skills.

The research demonstrates that the exam-centered method demands students to memorize fundamental language elements for better test results, but it neglects the development of critical thinking abilities in students.

To tackle this issue, researchers from Beijing Jiaotong University developed an AI-assisted teaching model grounded in deep learning principles.

This model was tested with 11th-grade students in Beijing, where they utilized AI tools such as Chat-GPT, Deepseek, and Doubao AI to analyze texts, create mind maps, and receive immediate feedback on their writing assignments.

The AI-driven approach began with visual learning, where AI-generated images helped students connect with the lesson topic. Consequently, AI-based mind maps assisted students to divide complicated texts into simpler sections during their interactive analysis phase.

Students engaged in group discussions about questions “So you think it’s possible for robots to understand human emotions? Why or why not?” with AI offering additional perspectives.

The researchers reported that automated feedback tools, including Youdao Writing, graded assignments instantly, allowing students to improve more rapidly.

The results demonstrated clear improvements in students’ comprehension, creativity, and engagement. Participation in class rose noticeably, and students showed enhanced problem-solving skills.

Despite these promising findings, the study acknowledges two main constraints which include limited participant numbers and potential risks from AI dependency. The use of AI in classrooms needs additional security measures to address privacy issues and maintain ethical standards.

The researchers suggest conducting larger school trials to develop the model which will maintain human teacher involvement in education since AI should serve as an educational aid.