Artificial Intelligence
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 the balanced development of intelligent education and share insights on its future.
Reporter: Why should we pay attention to the impact of artificial intelligence on education?
Li Deyi, an academician of the Chinese Academy of Engineering and chairman of the China Artificial Intelligence Society, explained that AI currently has the greatest impact on four key areas: manufacturing, education, healthcare, and finance. Education, as a fundamental aspect of society and a major source of talent development, holds significant potential for transformation through smart education. He emphasized that intelligent education is crucial for leveraging the demographic dividend and improving overall educational quality. Initiatives like the 100-county demonstration project are essential for promoting this development and must be taken seriously in the context of the AI-driven era.
A deep understanding of lifelong learning is essential. Future education will not be limited to traditional classroom settings but will extend throughout life. Key technologies such as brain cognitive science, perception technology, natural language processing, and knowledge sharing are central to this shift. Peripheral technologies like robotics and intelligent systems, including software theory and computer applications, also play a vital role in shaping the future of education.
As the head of the China Artificial Intelligence Society, Li Deyi plans to lead the society in bringing together AI professionals and using the China Intelligent Education Conference as a platform to advance research, product development, and application. The goal is to guide the future of education and AI, provide policy recommendations, 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 examples of AI-driven educational innovations, such as intelligent English composition correction, evaluation systems, and Chinese learning platforms. These tools have been developed and tested across various regions, with pilot programs in 35 districts across 13 provinces. Through extensive consultations and field visits, the center has gathered valuable feedback from local communities and education officials. AI's ability to support precise poverty alleviation and improve educational equity has been widely recognized by both the Ministry of Education and the academic community.
The 100-county demonstration project represents a major achievement in applying AI to education. It aims to expand the reach of intelligent education products, ultimately achieving the goal of "100 County Demonstration, Thousand County Pilots, Million School Applications, and Benefits for 100 Million People." This initiative seeks to elevate education through AI, supporting poverty reduction and the comprehensive improvement of educational quality.
Reporter: What are the key scientific and technological challenges in the transformation of intelligent education?
Li Taihao, a researcher at Harvard University’s Language and Brain Information Engineering Center, noted that the era of intelligent education has arrived. He described the evolution of education informatization into three stages: technicalization, intelligence, and smartness. While technicalization focuses on tools and media, intelligence involves advanced algorithms, and smartness centers on deep understanding. In the process of transforming education, many technical and scientific issues need to be addressed.
His team focuses on emotional computing—understanding and analyzing human emotions through facial expressions, speech, posture, physiological signals, and more. Emotion plays a critical role in learning, memory, and behavior. Emotional computing can enhance teaching by providing real-time feedback, enabling personalized instruction, and helping teachers monitor student engagement. In the long term, students could tailor their learning experiences based on emotional data. The ultimate goal is to use emotional analysis to improve teaching effectiveness and support individualized learning.
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