Method and Practice of Digital Graphics Course Based on Knowledge Graph of New Quality Productive Forces

Tianyi Sui, Jianbin Liu, Shan Jiang, Jian Xu

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Frontiers of Digital Education ›› 2024, Vol. 1 ›› Issue (3) : 274-278. DOI: 10.1007/s44366-024-0015-x
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Method and Practice of Digital Graphics Course Based on Knowledge Graph of New Quality Productive Forces

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Abstract

New quality productive forces characterized by innovation and innovation-driven development are essentially talent-driven. The cultivation of engineering practice and innovation ability of science and engineering talents is closely related to the development of national science and technology. It serves as a decisive factor in seizing opportunities of the new round of scientific and technological revolution and industrial change. To align digital engineering graphics education with the evolving demands of industries driven by new quality productive forces and engineering practice, this paper proposes teaching methods based on digital teaching practices at Tianjin University. These methods aim to deepen students’ understanding of new quality productive forces in engineering practice. The knowledge map of new quality productive forces is designed to enhance students’ innovation ability based on cartographic knowledge. It achieves this by refining typical engineering application scenarios that address global scientific and technological issues, tackle economic challenges, meet national strategic needs, and improve people’s life and health. This approach aims to cultivate innovative engineering and technical talents with a solid theoretical foundation, comprehensive innovation abilities, and strong engineering practice ability.

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Keywords

new quality productive forces / engineering graphics / knowledge mapping / engineering and technical personnel / teaching thinking

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Tianyi Sui, Jianbin Liu, Shan Jiang, Jian Xu. Method and Practice of Digital Graphics Course Based on Knowledge Graph of New Quality Productive Forces. Frontiers of Digital Education, 2024, 1(3): 274‒278 https://doi.org/10.1007/s44366-024-0015-x

References

[1]
Dong C. (2024). Educational concepts and methodologies in the AI era: Challenges and responses.Frontiers of Digital Education, 1(1): 69–77
[2]
HuangL., &MengM.. (2005). Course reform of engineering graphics on course contents and course system. Journal of Engineering Graphics, (6), 156–159. (in Chinese).
[3]
LuJ.. (2024). Adhering to the deep integration of industry, academia and research, the integration of education, science and technology talents to promote the development of new quality productive forces. Chinese Higher Education, (6), 34–36. (in Chinese).
[4]
Potkonjak V., Gardner, M., Callaghan, V., Mattila, P., Guetl, C., Petrović, V., &Jovanović K. (2016). Virtual laboratories for education in science, technology, and engineering: A review.Computers & Education, 95: 309–327
[5]
Schleicher A. (2024). Toward the digital transformation in education.Frontiers of Digital Education, 1(1): 4–25
[6]
Yang Z. (2024). Empowering teaching and learning with artificial intelligence.Frontiers of Digital Education, 1(1): 1–3
[7]
Zheng L., &Wei S. (2023). Institutionalizing engineering education research (EER) in China under the context of new engineering education: Departments, programs, and research agenda.International Journal of Engineering Education, 39(2): 353–368
[8]
ZhongD.. (2017). Connotation and Action for establishing the emerging engineering education. Research in Higher Education of Engineering, (3), 1–6. (in Chinese).
[9]
ZhouW., &XuL.. (2023). On new quality productivity: Connotation, characteristics and important focus. Reform, (10), 1–13. (in Chinese).

Acknowledgments

This work was supported by the Construction and Practice of Virtual Teaching and Research Office of Engineering Graphics Course (Grant No. GTVRCS2022-1C) and University–Industry Collaborative Education Program of the Ministry of Education: Teacher Training Program (Grant No. 231105875285548).

Conflict of interest

The authors declare that they have no conflict of interest.

Data Availability Statements

The authors confirm that all data generated or analysed during this study are included in this published article.

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