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The Dilemma and Countermeasures of AI in Educational Application

This paper divides the application of AI in education into three categories, namely, students-oriented AI, teachers-oriented AI and school mangers -oriented AI, which focuses on the individualized self-adaptive learning of students, the assisted teaching of teachers and the service management efficiency of schools respectively. With the continuous integration of AI technology and education, although we see a bright future in the field of AI in education, it can be seen that many obstacles will still exist in the future by reviewing the tortuous and difficult development history of AI in education for decades. Due to the dilemmas such as the inexplicability of algorithm, the limitations of algorithm, data bias, privacy leakage, etc., the application of AI in the education may face difficulties and obstacles in technology, effect, law, ethics, and system level, etc. Logically proposing the countermeasures to meet the development of AI education will be very helpful in dealing well with the difficulties and obstacles effectively. Abiding by the principles such as transparency, integration, diversification, popularization, fairness, accountability, security, privacy protection, humanistic education and other principlesand ways is to effectively apply AI in education, thereby promoting the technological integration in the development of educational innovation safely and effectively.