Education & Workforce Development
Building the '324' Smart Field: Innovations and Practices of Forestry Digital Intelligence Talent Training System
This study introduces the '324' smart field talent training system, developed by Guangxi Eco-engineering Vocational and Technical College, to address the urgent need for high-quality skilled talents in the rapidly digitizing forestry sector. It innovates teaching scenarios through a 'three-link' system, employs an 'eight-step' teaching method, and establishes a 'four-dimensional evaluation' system. The model significantly enhances digital teaching capabilities and students' practical application skills, evidenced by a 100% graduate employment rate for five consecutive years and substantial technological achievements. This provides a replicable paradigm for cultivating new quality productivity in forestry.
Executive Impact: Key Metrics
The implementation of the '324' Smart Field system has yielded significant, measurable improvements across talent training, innovation, and industry contribution.
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Graduate Employment Rate (5 consecutive years)
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Output Value of Tech Achievements
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Technical & Skilled Talents Trained
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National & Provincial Skill Awards
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Regional Forestry Output Value Increase
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
The digital transformation of forestry faces significant challenges, including a mismatch between traditional vocational education and the demand for compound digital talents, insufficient industry-education integration, and a lack of specific digital competency standards. Guangxi, a leading forestry region, urgently needs talents proficient in GIS, drone monitoring, and big data analysis to support its trillion-yuan industry. This tab explores these critical gaps and the evolving talent characteristics required.
Traditional vs. Digital Forestry Education: Key Differences
| Aspect | Traditional Vocational Education | Digital Forestry Education (Required) |
|---|---|---|
| Talent Focus | Single-skill, basic planting personnel | Compound talents with digital literacy & innovative capabilities (tech, management, economic, comprehensive) |
| Teaching System | Difficult to meet demand for compound talents; insufficient industry-education integration | Theory-practice integration; online-offline; training base-engineering site (triple linkage) |
| Curriculum & Methods | Mainly undergraduate-focused, theoretical exploration; lack of digital competency standards | Digital curriculum systems; AI & big data tech application; project-driven, eight-step teaching method |
| Evaluation | Basic quality evaluation | Multi-agent, multi-dimensional, multi-criteria, quantitative-qualitative (four-dimensional evaluation) |
| Industry Needs | Oversupply of basic skills, serious shortage of compound talents for smart forestry transformation | Proficiency in GIS, drone monitoring, big data analysis, biotechnology; innovation and practical application abilities |
The '324' smart field talent training system is an innovative framework designed to cultivate high-quality digital intelligence talents for forestry. It comprises three functional areas, two operating modes, and four guarantee mechanisms, integrating core resources and advanced teaching methodologies. This tab details the architecture and the core teaching methods employed.
'324' Smart Field System: Core Components
3 Functional Zones
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2 Operating Modes
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4 Safeguard Mechanisms
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Precision Empowerment for Forestry Education
Triple Linkage Teaching System (Figure 2)
Theory-Practice Integration
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Online-Offline Blended Learning
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Training Base-Engineering Site
Eight-Step Classroom Comprehensive Teaching Method (Figure 3)
Inquiry
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Lead-in
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Analysis
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Learning
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Discussion
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Training
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Assessment
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Reflection
The '324' smart field system has demonstrated significant success in improving talent training quality, teacher development, and industry-education integration. Key outcomes include a 100% graduate employment rate, substantial technological achievements, and a highly skilled teaching force. This tab summarizes the impressive results and outlines future directions for integrating AIGC, international collaboration, and further system optimization.
100%
Graduate Employment Rate for 5 Consecutive Years
Real-world Impact: Industry-Academia Collaboration
Through active participation in real enterprise projects with companies like Guangxi SenTai Engineering Planning and Design Co., Ltd., teachers have successfully transformed cutting-edge industrial technologies, such as UAV-based forest stand area calculation and GIS spatial analysis, into practical teaching cases. This direct engagement has led to 25 invention patents (6 of which have been industrialized), significantly enhancing scientific research capabilities that feed back into teaching. Furthermore, the college's 'forestry digital twin technology center' provides technical services to the industry over 200 times annually, helping solve problems like UAV patrol and carbon sink measurement and creating 258 million yuan in economic benefits.
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