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在不确定的学生偏好下,基于变压器的深度学习用于适应式教学

Huan Wang1

  • 1ChongQing Water Resources And Electric Engineering College, Chongqing, 402160, China. 18580107707@163.com.

Scientific reports
|November 26, 2025
PubMed
概括

本研究介绍了SRE-TransformerNet,这是一种使用先进的深度学习模型来个性化教育的AI框架,通过识别各种学生学习风格来个性化教育. 它显著改善了适应性学习系统,以获得公平有效的实时教育体验.

关键词:
适应性学习系统适应性学习系统深度学习是一种深度学习.教育个性化教育个性化学习风格建模学习风格建模变压器网络的变压器网络.

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