Feiyi Han
Papers
1
Total Citations
2
H-Index
1
About
Feiyi Han is a pioneering researcher at the intersection of artificial intelligence and special education, whose work focuses on leveraging AI-based educational interventions to enhance cognitive learning processes for students with disabilities. In their landmark meta-analysis, "AI-based educational interventions for enhancing cognitive learning processes in students with disabilities" (2026), Han synthesized evidence across diverse studies to demonstrate how adaptive AI tools can significantly improve memory retention, problem-solving, and executive functioning in neurodiverse learners. This work, already garnering 2 citations in its early publication, has been recognized for bridging the gap between cutting-edge machine learning and inclusive pedagogy. Han’s contributions are particularly notable for their rigorous methodological approach, which combines quantitative synthesis with qualitative insights from educators and therapists. By establishing a framework for personalized, AI-driven scaffolding, Han has laid the groundwork for scalable interventions that address individual learning differences. Their research not only advances theoretical understanding of cognitive plasticity but also offers practical guidelines for developing ethical, accessible technologies in classrooms and therapeutic settings. As a rising voice in the field, Han continues to explore how AI can democratize learning opportunities for marginalized student populations.
Research Focus
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Top Papers
- 1