适应(眼睛)
干预(咨询)
计算机科学
人工智能
数学教育
比例(比率)
机器学习
心理学
量子力学
精神科
物理
神经科学
作者
Yi Qiu,Yi Lu,Zhiyang Peng
标识
DOI:10.1109/eitt61659.2023.00032
摘要
This study focused on the intervention problem of college students' learning adaptation, integrated psychology, learning sciences, and other theories, utilized literature research, theoretical deduction, and design-based research methods to explore the formation law and intervention effect of college students' learning adaptation. Fully demonstrating the value of human-machine synergy as the main working mode of future society, this study proposed an intervention mechanism of human-machine synergy for college students' learning adaptation. Then this study optimized the RtI model, constructed a HM-RtI intervention model covering all students, using intelligence technology, realizing hierarchical implementation and large-scale personalized intervention, and applied to practice. The results show that the HM-RtI intervention model of human-machine synergy for college students' learning adaptation is operable and effective, which could provide new insights into the intervention of college students' learning adaptation in the age of intelligence.
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