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The objective of this study is to fill this void by undertaking a thorough quantitative evaluation of the influence of adaptive learning technologies on cognitive flexibility in special education environments. In recent years, as advanced driver assistance systems (adas) have evolved rapidly (bisoffi et al., 2017), vehicle lateral control techniques, especially lane departure warning (ldw) and lane keeping assist systems (lkas), have become a research hotspot, but it is facing challenges including robustness requirements to uncertainties in the. Ving from purely algorithmic approaches to emotionally responsive and adaptive learning systems (figure 1)
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Understanding the historical trajectory of ai, from its early computational roots to machine learning, deep learning, and now aei, provides a foundation for exploring its pedagogical implicat artificial intelligence (ai) In addition, the development of adaptive learning approaches through ai significantly enhances student engagement in the learning process and improves their academic progress (112, 113).
