| 英文摘要 |
The application of smart education has become a hot topic in academia. At present, the human-computer relationship in artificial intelligence education mainly includes three levels: one-way static interaction, two-way dynamic interaction, and multiple mixed interaction. However, the nature of the relationship reflected in the application of artificial intelligence education is still centered on the machine and student’s passive status; feedback in artificial intelligence education applications is mainly multi-modal, adaptable, and analytical. Facing the future of human intelligence development, how to enhance the feedback, wisdom, and migration of artificial intelligence education applications, to promote the development of learners’ subjectivity, advocate the “learning-centered” education concept, and to rebuild the ecological development of artificial intelligence education is the key path for the transformation and upgrading of artificial intelligence education applications. This research combines the latest research on learners, feedback literacy and explores how to solve the problems faced by applying artificial intelligence education through six types of connotations: “perceptual feedback, cognitive integration, evaluation and judgment, taking action, emotional management, and motivation regulation”. To solve the predicament of the computer-computer relationship, build multiple scaffolds in different fields, create a human-machine two-way feedback mechanism for intelligent education applications, and put forward development prospects in combination with future development.
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