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- W4387444546 abstract "In recent years, with the popularization of intelligent devices, the application of computer technology in the field of education has also shown a rapid development. This paper takes the construction of Adaptive learning support model as the starting point, designs the framework of Adaptive learning based on multidimensional feature fusion of Adaboost algorithm, explores the construction, fusion and application of learner model, domain knowledge model and adaptive engine, and then implements the Adaptive learning system and conducts application research on it. By constructing an adaptive model, it is verified that the model has higher accuracy and robustness, and can effectively adapt to different students and teaching environments." @default.
- W4387444546 created "2023-10-10" @default.
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- W4387444546 date "2023-08-18" @default.
- W4387444546 modified "2023-10-11" @default.
- W4387444546 title "Research on Adaptive Learning Model Based on Multidimensional Feature Fusion" @default.
- W4387444546 doi "https://doi.org/10.1109/isceic59030.2023.10271182" @default.
- W4387444546 hasPublicationYear "2023" @default.
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