“人工智能+教育”有哪些内涵特征?

在当今数字化时代,以ChatGPT为代表的自然语言处理模型以及最新的视频生成模型Sora等前沿技术的涌现,正深刻地揭示出人工智能(AI)在教育领域的无限潜力和广阔前景。

翻译:

What are the connotation characteristics of “artificial intelligence + education”?

In today’s digital era, the emergence of cutting-edge technologies such as natural language processing model represented by ChatGPT and the latest video generation model Sora are deeply revealing the infinite potential and broad prospects of artificial intelligence (AI) in the field of education. The emergence of these advanced technologies not only indicates that the field of education is about to usher in a revolutionary change driven by artificial intelligence, but also provides strong technical support for achieving higher quality and more personalized education. In this context, the research and application of the new model of “artificial intelligence + education” is particularly important and urgent.

The so-called “artificial intelligence + education” is a comprehensive concept, it refers to the deep integration of artificial intelligence technology into the field of education, through intelligent means to optimize the education environment, so as to promote the traditional education model, teaching methods and learning experience fundamental changes in a new education model. In a narrow sense, “artificial intelligence + education” means the use of artificial intelligence technology to assist teaching, management, evaluation and feedback, in order to achieve more efficient and personalized education services. In a broader sense, “artificial intelligence + education” is not only limited to the application of the technical level, but also represents an innovation in education concept and education model. It emphasizes student-centered, makes full use of artificial intelligence technology to meet the individual needs of students, and continuously improves the learning effect of students. At the same time, “artificial intelligence + education” also requires educators to constantly update their educational concepts and improve their information literacy to meet the needs of educational development in the new era.

“Artificial intelligence + Education” mainly has the following characteristics: New scene education: extend the depth and breadth of education. With the deep integration of “artificial intelligence + education”, the traditional education model is being redefined, and the boundaries of education are constantly being broadened. “Artificial intelligence + Education” greatly extends the depth and breadth of education by building a new type of education scene, and breaks the time and space restrictions of education. With the help of artificial intelligence technology, learners can learn at any time and anywhere through the online learning platform, get instant learning feedback and answer questions through the intelligent tutoring system, and obtain a deeper understanding of knowledge through the simulation learning system, which greatly improves the depth of learning and learning efficiency.

Personalized learning: to achieve accurate matching of educational resources. Personalized learning is one of the basic features of “artificial intelligence + education” and also its advantage. With the help of artificial intelligence technology, learners’ learning trajectory can be comprehensively, accurately and timely collected, and learners’ learning preferences can be mastered, so as to provide customized learning services for learners through accurate calculation, achieve the accurate matching of learners’ interests, abilities, learning resources and learning methods, and improve learning efficiency and effect.

Adaptive adjustment: Enables dynamic adaptation of the learning process. Adaptability is an important feature of “artificial intelligence + education”. The adaptive adjustment ability of “artificial intelligence + education” can dynamically adjust the learning content and difficulty according to the learning progress and feedback of learners, so that learners always learn in the most suitable learning style and learning difficulty area. In addition, adaptive adjustment can also help learners find their learning blind spots and weak links, timely check the gaps, and further improve the learning effect.

Immersive experience: Continuing to drive innovation in education. Under the new education model of “artificial intelligence + education”, immersive experience is gradually becoming an important engine for education innovation. By combining advanced virtual reality (VR) and augmented reality (AR) technologies, “Artificial intelligence + education” creates an immersive learning environment, concretifies abstract knowledge, provides learners with an immersive learning experience, and makes the education process more vivid and vivid. In such an environment, learners can not only understand and master knowledge more intuitively, but also explore and experience what they have learned more deeply, thus effectively stimulating learners’ creativity and providing a steady stream of innovation momentum for educational innovation. By continuing to generate innovation momentum, “artificial intelligence + education” will also continue to promote the reform and innovation of the education model to dynamically adapt to the transformative needs of the development of education in the new era.

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