The impact of artificial intelligence on education? What are the key scientific and technical issues?

The intelligent education and balanced development of the Baixian demonstration construction project, along with the first China Intelligent Education Conference expert consultation meeting, was held at Capital Normal University. Hosted by the China Language Intelligence Research Center, which is part of the National Language and Literature Working Committee under the Ministry of Education, the conference brought together experts to discuss and exchange ideas on the balanced development of intelligent education. The event aimed to explore how artificial intelligence can reshape educational systems and promote equity in learning opportunities. Reporter: Why should we pay attention to the impact of artificial intelligence on education? Li Deyi, Academician of the Chinese Academy of Engineering and Chairman of the China Artificial Intelligence Society, explained that AI has four major areas of influence on society today—manufacturing, education, healthcare, and finance. Education, as a fundamental aspect of social well-being and a key driver for cultivating talent, holds the greatest potential for transformation. Smart education, therefore, represents the most significant opportunity in the context of demographic change. Conducting research on intelligent education and promoting its balanced development through the 100-county demonstration project is crucial for the future of education. As such, it's essential to understand and adapt to the changes brought by the AI era. A deep understanding of lifelong learning is also vital. Future education must extend beyond traditional classroom settings. We need to focus on brain cognitive technology, perception, natural language processing, and knowledge sharing—these are the core technologies. Peripheral aspects include robotics, intelligent systems, software theory, and computer applications. As the chairman of the China Artificial Intelligence Society, Li emphasized the importance of leveraging AI to support education, especially in rural and underdeveloped regions. By using the 100-county demonstration project as a starting point, the society aims to conduct extensive research, product development, and application, guiding the future of both education and AI. This effort will provide valuable insights to policymakers and offer intelligent services to the public. Reporter: How can AI help education promote poverty alleviation and balanced development? Professor Zhou Jianshe, Director of the Chinese Language Intelligence Research Center, highlighted several innovative AI-based educational tools, including intelligent English composition correction, evaluation systems, and Chinese language learning platforms. These technologies have been tested in various regions, with the center conducting extensive fieldwork across 35 districts and counties in multiple provinces since 2017. Through over 50 small-scale consultations, they gathered input from local educators and communities, identifying urgent needs in education. AI plays a key role in achieving precise poverty alleviation and ensuring equitable access to quality education. The 100-county demonstration project, driven by the center’s efforts, aims to expand the reach of intelligent education products. The goal is to achieve “100 County Demonstration, Thousand County Pilots, Million School Applications, and Benefits for 100 Million People.” This initiative seeks to elevate the quality of education through AI, supporting poverty reduction and overall educational improvement. Reporter: What are the key scientific and technological challenges in transforming intelligent education? Li Taihao, researcher at the Harvard University Language and Brain Information Engineering Center, noted that the era of intelligent education has arrived. The transformation of education involves three stages: technicalization, intelligence, and smartification. While the first stage focused on digital tools like multimedia and projectors, the next phase involves advanced algorithms and, eventually, deep understanding and personalization. His team focuses on emotional computing, which involves analyzing human emotions through text, speech, body language, and physiological signals like heart rate and brain activity. This technology could revolutionize education by enabling real-time feedback between teachers and students. For instance, through emotion analysis, teachers can monitor student engagement and adjust their teaching methods accordingly. In the long run, this could lead to personalized learning experiences tailored to individual needs. Emotional computing has the potential to enhance classroom interactions, making them more responsive and effective. By collecting and analyzing data from student-teacher communication, AI can support personalized learning and improve educational outcomes. Ultimately, the goal is to create a more efficient and equitable educational system, where AI serves as a powerful tool for both teachers and learners.

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