Work

Reform of Digital Intelligence Teaching in Industrial Design Introduction Course Based on Knowledge Graph

Year: 2025

Type: conference-paper

Abstract: In the wave of digital and intelligent transformation of education, traditional teaching methods have become difficult to meet the dynamic development needs of modern design disciplines. This article provides a detailed analysis of the current research status of AIGC empowering higher education and the advantages of knowledge graph functions in digital teaching. Based on the digital teaching reform of the Introduction to Industrial Design course, the aim is to improve teaching quality and efficiency by building a knowledge graph course on a digital network platform and conducting course practice. The results of the teaching reform practice show that the knowledge graph function of the digital teaching platform has significantly improved students' learning efficiency and test scores; On the other hand, the use of information-based teaching platforms has increased the opportunities for interaction between students and teachers, enhancing students' enthusiasm and participation in learning. The study provides new ideas and methods for the innovative reform of basic courses in design-related subjects in the context of digital education.

Source: International Conference on Education, Knowledge and Information Management (ICEKIM)

DOI: 10.1145/3756580.3756666

Authors: Yajing Hou, Shengzan Yan, Xin Liu

Institution: Nanjing Institute of Technology

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Industry, innovation and infrastructure

Open Access status: hybrid

Funders: Nanjing Institute of Technology, Division of Graduate Education