Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on the Application of Digital Human Technology in Curriculum Knowledge Question Answering —Taking the Course of Information Security Technology as an Example

WEI Changfa1, ZHAO Tao1, LIU Huina2, ZHOU Ranxi1

(1.School of Informatics, Hunan University of Chinese Medicine, Changsha 410208, China; 2.Medical School, Hunan University of Chinese Medicine, Changsha 410208, China)

Section：Information Application · Vol. 2026, Issue 2 · Pages：156-160 · 2096-4706（2026）02-0156-05 · CLC number：TP39 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.02.029

Abstract

Taking the course of information security technology as an example, this paper conducts research on the application of digital human technology in curriculum knowledge question answering. It carries out analysis from three aspects including application scenarios, technical implementation processes and practical cases, and designs a technical workflow that consists of multimodal input parsing, knowledge base interaction and traceable response, agent-driven courseware generation and multimodal presentation of digital humans. The research results show that through visualized and anthropomorphic multimodal interaction methods, this technology effectively addresses such limitations in traditional knowledge question answering as the difficulty in intuitively presenting abstract knowledge, monotonous interaction formats and insufficient responses to personalized demands, and significantly improves knowledge comprehension efficiency and learning experience. It also identifies limitations including insufficient depth of emotional interaction and imperfect dynamic update mechanism of knowledge base, and puts forward directions for technical optimization and application expansion.

Keywords

digital human technology; knowledge question answering; multimodal interaction; information security technology

References

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Funding

Research Project on Teaching Reform of Ordinary Higher Education Institutions in Hunan Province "Research and Practice of Enhanced Blended Teaching Mode Based on Knowledge Graph - Taking Information Security Technology Course as an Example" (202401000784)

About the authors

Wei Changfa (1982-), male, Zhuang nationality, from Bama, Guangxi, professor, master's supervisor, doctoral degree, research direction: educational intelligence, medical artificial intelligence.