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KCUBE:A Knowledge Graph University Curriculum Framework for Student Advising and Career Planning
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作者 Qing Li 《计算机教育》 2025年第12期32-35,共4页
In recent years,various efforts have been devoted to advancing university education through artificial intelligence(AI).To this end,this paper introduces KCUBE,a novel framework centered on knowledge graphs(KGs)design... In recent years,various efforts have been devoted to advancing university education through artificial intelligence(AI).To this end,this paper introduces KCUBE,a novel framework centered on knowledge graphs(KGs)designed to enhance student advising and career planning in university courses.Owing to KCUBE,we can improve university education in the AI era by leveraging the expressiveness,operability,and interpretability of KGs.We detail a bottom-up approach for KG construction,empowering professors to develop subject-specific KGs,augmented by tools like ChatGPT,which has demonstrated promising accuracy and coverage.Based on KGs,KCUBE supports KG reasoning for applications such as automated teaching plan generation with dynamic editing capabilities.Furthermore,KCUBE offers advanced KG manipulation through 2D and 3D visualization platforms,such as virtual reality(VR)for immersive exploration of academic subjects and potential career paths.A comparative study on collaborative learning highlights the benefits of VR and KG-enhanced environments in promoting student engagement,participation,and collaborative decision-making. 展开更多
关键词 kcube Knowledge graph Virtual reality Artificial intelligence
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