Papers
2
Total Citations
49
H-Index
2
About
Zehang Xie is a rising scholar at the intersection of artificial intelligence, education, and human-computer interaction. Their research primarily investigates how generative AI tools—particularly virtual companions—reshape learning autonomy and psychological well-being across cultural contexts. In their highly cited 2024 longitudinal study (44 citations), Xie demonstrated that interaction with generative AI can significantly enhance students' self-directed learning capabilities, with effects modulated by individual preferences for knowledge acquisition versus virtual companionship. This work provides crucial empirical evidence for designing AI systems that foster rather than replace human agency in education. Expanding this line of inquiry, Xie's cross-cultural analysis (2024, 5 citations) revealed that the subjective well-being benefits of virtual companionship vary markedly between Eastern and Western cultural frameworks, challenging one-size-fits-all approaches to AI-assisted living. By bridging educational technology with cultural psychology, Xie offers nuanced insights into how AI can be ethically integrated into learning environments. Their work is essential reading for researchers and educators seeking evidence-based strategies for leveraging generative AI to support autonomous learning and holistic student development.
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