Research on the Reform of Teaching Models for Landscape Arboriculture in Higher Vocational Education Empowered by Artificial Intelligence

Yueting Tang; Chunru Ye

doi:10.2991/978-2-38476-601-7_32

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Research on the Reform of Teaching Models for Landscape Arboriculture in Higher Vocational Education Empowered by Artificial Intelligence

Authors

Yueting Tang¹^{, *}, Chunru Ye¹

¹Huizhou Engineering Vocational College, Guangdong, Huizhou, 516001, China

^*Corresponding author. Email: 563919156@qq.com

Corresponding Author

Yueting Tang

Available Online 6 August 2026.

DOI: 10.2991/978-2-38476-601-7_32 How to use a DOI?
Keywords: Artificial Intelligence; Arboriculture; Reform of Teaching Models; Higher Vocational Education
Abstract: AI technology has now deeply penetrated the field of vocational education. However, the Landscape Arboriculture course in higher vocational education still faces practical challenges, including outdated teaching methods, an awkward integration of ideological and political education with AI concepts, a one-dimensional assessment system, and a disconnect between course content and industry job requirements. This paper incorporates the concept of “two-way empowerment through the integration of information technology into teaching and teaching into information technology”. Leveraging AI resources, it constructs a teaching model characterized by “ideological and political guidance + full-chain AI empowerment + task-driven learning + diversified value-added assessment”. After a semester of practical implementation, the plant identification accuracy, professional practical skills, AI application proficiency, and overall comprehensive qualities of students in two classes have been effectively enhanced.
Copyright: © 2026 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2026 2nd International Conference on Education Reform, Ideology and Politics (ERIP 2026)
Series: Advances in Social Science, Education and Humanities Research
Publication Date: 6 August 2026
ISBN: 978-2-38476-601-7
ISSN: 2352-5398
DOI: 10.2991/978-2-38476-601-7_32 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Yueting Tang
AU  - Chunru Ye
PY  - 2026
DA  - 2026/08/06
TI  - Research on the Reform of Teaching Models for Landscape Arboriculture in Higher Vocational Education Empowered by Artificial Intelligence
BT  - Proceedings of the 2026 2nd International Conference on Education Reform, Ideology and Politics (ERIP 2026)
PB  - Atlantis Press
SP  - 271
EP  - 276
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-601-7_32
DO  - 10.2991/978-2-38476-601-7_32
ID  - Tang2026
ER  -

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