The dilemma and countermeasures of educational data ethics in the age of intelligence

Abstract With the advent of era intelligent education, artificial intelligence and other technologies are being integrated into so that more educational data can be collected, processed, analyzed. However, ethics is an important factor hinders application data. Thus, it to ensure privacy security by reasonable use As such, this research focuses on analysis hot-points, trends in development problems existing using bibliometric analysis. Based in-depth analysis, study proposes targeted problem-solving strategies, future developmental direction for learner-centered education. This found three major ethics: (a) violation during collection, storage, sharing, (b) deprivation ability subjects make independent choices prediction data, (c) lack “forgetting ability” based as evaluation standard, which one restrictions subjects. corresponding strategy China should learner-centered, combined with such blockchain, 5 G technology, federated learning form solutions from different levels. Firstly, necessary establish a standard system related platforms macro level. Second, research-practice dual channels efforts build new ecology Third, schools teachers must appropriately apply evaluation. Finally, provides guidance countries or regions researching ethics.