College Physics ›› 2025, Vol. 44 ›› Issue (1): 66-.doi: 10.16854 /j.cnki.1000-0712.240241

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Exploration and practice based on a problem driven knowledge graph of college physics

ZHOU Keya, MENG Qingxin, CAO Yongyin, ZHANG Lingli, #br# DING Weiqiang, REN Yanyu, HUO Lei, ZHANG Yu#br#   

  1. College of Physics,Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
  • Received:2024-05-20 Revised:2024-06-17 Online:2025-03-20 Published:2025-03-27

Abstract: Knowledge graph (KG) is an important way to empower modern education using artificial intellicollege physics|digitization|online and offline blended teaching mode gence (AI) technology. A curriculum knowledge graph (CKG) can systematically reorganize teaching content, construct the interrelationships between knowledge points. As a result, it can optimize knowledge expression and make significance for curriculum construction and talent cultivation. This article constructs a CKG based on the “Basic Requirements for Teaching Physics Courses in Science and Engineering Universities” published in 2023. Three problemoriented teaching strategies are designed, and implemented towards the future application of CKG. It can provide useful inspiration for the Digitalization and Intelligence of the fundamental mathematics and physics courses in the Emerging Engineering Education (3E) perspective.

Key words: knowledge graph, college physics, emerging engineering education, problem driven education