Research on the Practical Dilemmas and Countermeasures of Artificial Intelligence Applications in Education

In recent years, artificial intelligence (AI) has rapidly evolved, triggering substantial transformations across various sectors. However, it has also spawned multiple dilemmas within the realm of education. These include technical challenges such as ambiguous division of labor between humans and machines and adaptation barriers for intelligent technologies, practical issues like disorder in smart educational spaces and the sense of alienation and detachment engendered by these technologies, and ethical quandaries such as the risk of information leakage for teachers and students, biased models leading to unfairness in intelligent education, among others. Consequently, at the technical level, there is an urgent need for top-down guidance from policy documents and a clearer demarcation of roles between humans and machines in the process of smart education. Practically, established teaching methodologies and technologies of the information age should not be discarded, and a conscious effort must be made to cultivate talent specialized in AI-assisted education. Ethically, the design of ethical guidelines for AI technologies is imperative, accompanied by rigorous verification of tool safety measures, to ensure that the integration of AI in education is not only innovative but also responsible and equitable.