arXiv (All)
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Mapping the AI Divide in Undergraduate Education: Community Detection in Disciplinary Networks and Survey Evidence
As artificial intelligence-generated content (AIGC) reshapes knowledge acquisition, higher education faces growing inequities that demand systematic mapping and intervention. We map the AI divide in undergraduate education by combining network science with survey evidence from 301 students at Nanjin
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