AI Boosts Deep Learning In Chinese High School English Classes - 1

Image by note thanun, from Unsplash

AI Boosts Deep Learning In Chinese High School English Classes

  • Written by Kiara Fabbri Former Tech News Writer
  • Fact-Checked by Sarah Frazier Former Content Manager

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

In a rush? Here are the quick facts:

  • AI improves deep learning in Chinese high school English lessons.
  • Students showed better comprehension, creativity, and engagement with AI.
  • Researchers warn against over-reliance and stress ethical AI use in schools.

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.

Scientists Create E-Tattoo to Detect Mental Fatigue - 2

Photo by l ch on Unsplash

Scientists Create E-Tattoo to Detect Mental Fatigue

  • Written by Andrea Miliani Former Tech News Expert
  • Fact-Checked by Sarah Frazier Former Content Manager

Scientists from the University of Texas in the United States have developed a forehead e-tattoo to estimate mental workload. The low-cost system includes sensors that can help monitor mental fatigue in workers in high-stakes positions.

In a rush? Here are the quick facts:

  • Scientists develop forehead e-tattoo to measure mental workload.
  • The practical device could help monitor mental fatigue in workers high-stakes positions.
  • Researchers trained machine-learning models to process the device’s data and provide accurate results.

According to a paper published in the journal Device on Thursday, researchers developed a prototype of the tattoo sticker at a low cost and demonstrated that it can support cognitive monitoring more effectively than conventional systems. The sticker offers a more practical solution, especially when compared to traditional devices used for electrooculography (EOG) or electroencephalography (EEG).

“This study introduces a wireless, ultra-thin forehead e-tattoo that enables high-fidelity EEG and EOG monitoring while maintaining comfort, stability, and motion resistance,” states the document. “Integrated with a flexible printed circuit for on-device processing and wireless transmission, this system provides a minimally obtrusive and long-lasting solution for ambulatory cognitive monitoring.”

The scientists ran multiple tests with six participants to validate the e-tattoo’s capabilities, including the NASA Task Load Index (NASA-TLX), and successfully determined the participants’ real-time cognitive states using a machine learning model specifically trained for this purpose.

Engineers develop e-tattoo for the forehead that tracks brainwaves to predict burnout and mental overload. https://t.co/ZiZNlRS1LR — Interesting Engineering (@IntEngineering) May 29, 2025

“Our work presents a breakthrough in wearable neurotechnology, offering a scalable, cost-effective, and user-friendly approach to continuous mental workload assessment,” wrote the scientists. “Future applications could include real-time cognitive load monitoring in pilots, operators, and healthcare professionals, advancing the field of human-machine interaction and personalized cognitive augmentation.”

The experts also acknowledged that, while they are content with the forehead e-tattoo, the device can be optimized and improved—such as more breathable materials for cases with excessive sweat and the compatibility of the APC-GPU electrodes with hair.

However, the researchers believe that the e-tattoo has the potential to help many people and see its usefulness in fields where workers need to maintain good mental health in order to make important decisions that can affect the lives of others or processes with significant consequences.

The new generative artificial intelligence and machine learning technologies are helping scientists find practical solutions to current problems and make new discoveries about the human body. Future house, the non-profit organization, recently launched AI Scientist , a program with four AI agents to help researchers accelerate processes and make new scientific discoveries.