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Quanzhou City builds teacher-exclusive digital portraits based on multidimensional data

2025-09-19 04:20:06 educate

Quanzhou City builds teacher-exclusive digital portraits based on multidimensional data

In recent years, with the deepening of educational informatization, Quanzhou Municipal Education Bureau has actively explored the digital transformation of the teacher evaluation system, and has integrated multi-dimensional data to build a digital portrait of teachers exclusively, providing precise support for teachers' professional development. This innovative measure not only improves the scientificity and efficiency of teacher management, but also provides practical experience for reference for the national digital education reform.

1. Background and significance

Quanzhou City builds teacher-exclusive digital portraits based on multidimensional data

The traditional teacher evaluation system often relies on subjective evaluation and phased assessment, which is difficult to fully reflect the comprehensive ability and growth trajectory of teachers. Based on big data technology, Quanzhou Municipal Education Bureau constructs dynamic and three-dimensional digital portraits by collecting multi-dimensional data such as teachers' teaching, scientific research, and training, aiming to achieve the accuracy, personalization and scientificity of teacher evaluation.

2. Data source and structure

The data sources of digital portraits of Quanzhou teachers mainly include the following aspects:

Data CategorySpecific contentCollection method
Teaching dataClassroom performance, student achievement, teaching reflectionIntelligent course inspection system and student evaluation platform
Scientific research dataPaper publication, research on projects, and academic exchangesScientific research management system, academic database
Training dataTraining duration, course completion rate, assessment resultsOnline learning platform, training archives
Social evaluationParental feedback, peer evaluation, social honorQuestionnaire, Honor Database

3. Application scenarios of digital portraits

Through the integration and analysis of multidimensional data, the digital portraits of teachers in Quanzhou City played an important role in the following scenarios:

1.Professional development of teachers: The system intelligently recommends training courses and scientific research directions based on teachers' weak links to help teachers grow in personalized ways.

2.Professional title evaluation: Digital portraits provide objective and comprehensive data support for professional title review, reducing interference from human factors.

3.Resource configuration optimization: The Education Bureau analyzes the overall portraits of teachers in the region, scientifically allocates faculty to improve the level of balanced education development.

4. Implementation results and future prospects

Since the pilot in 2023, more than 5,000 teachers in Quanzhou have been connected to the digital portrait system. Data shows that teachers' enthusiasm for participating in training has increased significantly, with the average quality of classroom teaching increasing by 15%, and scientific research output increasing by 20% year-on-year.

indexBefore implementationAfter implementationgrowth rate
Training participation rate68%92%35%
Classroom excellence rate75%86%15%
Number of scientific papers1200 articles1440 articles20%

In the future, Quanzhou City plans to further expand the data dimension, introduce artificial intelligence technology, and realize intelligent prediction and intervention in teacher growth. At the same time, the application of digital portraits in more scenarios such as cross-regional exchanges between teachers and principal selection will be explored to comprehensively improve the modernization of education governance.

V. Conclusion

The practice of digital portraits of teachers in Quanzhou City shows that digital transformation of education is not only a technological innovation, but also a profound change in educational concepts and management models. Through data-driven precise evaluation, it not only stimulates the endogenous driving force for teachers' professional development, but also provides a new path for the high-quality development of regional education. This innovative model is worthy of promotion and reference nationwide.

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