T/WSTA 002-2025 Active Group standards

T/WSTA 002-2025 Digital talent cultivation service specification

T/WSTA 002-2025 Digital talent cultivation service specification

Publish Date: 2025-08-18 Implement Date: 2025-08-18 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/WSTA 002-2025
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Comprehensive Application of Information Technology
Publish Date: 2025-08-18
Implement Date: 2025-08-18

Scope

The technical content mainly covers five aspects: 1. **Requirements Identification**: Collect dynamic data such as enterprise recruitment and industry reports through a combination of quantitative and qualitative methods. Establish an "online + offline" interface model, focus on job types and competency requirements, and use methods such as time series and regression models to predict talent demand. 2. **Service Process**: Includes talent development programs, career planning, teaching management, practical training management, and employment services. Emphasizes mapping curricula to demand, adopts layered teaching and digital tool applications, and involves enterprise mentors in teaching and project training. 3. **Service Foundation**: Sets clear requirements for teaching staff, teaching resources, and infrastructure. For example, digital textbooks must have a text error rate of no more than 0.0025%, and practical training platforms must match mainstream industry technologies. 4. **Service Requirements**: Specifies the competencies required for different types of talents (e.g., digital development and design, digital technical support, and digital management talents). Establishes clear service indicators, such as a job placement rate of no less than 40%. 5. **Evaluation and Improvement**: Collect data through digital platforms to evaluate teaching effectiveness, student satisfaction, and enterprise feedback, forming a closed-loop of "evaluation - analysis - improvement - enhancement" to continuously optimize service quality.

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