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Neusoft Education Map Construction Management Platform
Product Function Introduction
Neusoft Education Graph aims to provide users with a visual expert system for professional top-level design and connotation construction centered on graphs. The system provides important support for teaching reform and high-quality development of digital education in various majors, and provides powerful tools for professional leaders and teachers to efficiently organize talent training programs and curriculum standards. By displaying the full chain relationship from training objectives, graduation requirements to curriculum system and knowledge points through a graph, the supporting relationship between curriculum and graduation requirements can be intuitively presented, providing scientific basis for educational decision-making and teaching quality, and promoting the optimization and innovation of the education system.
The system provides users with three types of graphs, including course knowledge graph, professional system graph, and scenario application graph. Integrating the curriculum knowledge graph into the best practices of Neusoft Education, the curriculum system is automatically transformed into an intuitive visual graph form through scientific curriculum structure design; The professional system diagram helps clients build a complete professional system from training objectives, graduation requirements to course knowledge points, ensuring the scientificity and coherence of professional construction; The scenario application graph includes but is not limited to various types such as job graph, project graph, ideological and political graph, problem graph, competition graph, certificate graph, etc., to meet the needs of professionals for graphs and other visualization tools in different scenarios.
Professional system and knowledge structuring and visualization
Teachers can plan and organize teaching content more clearly based on the logical framework of knowledge points. Students can use visual graphs to gain a more intuitive understanding of the relationships between knowledge points. This helps teachers and students to jointly identify key nodes and weak links in the knowledge system, and improve teaching and learning effectiveness.
Cross disciplinary and cross domain knowledge integration
In today's era of knowledge integration, it is crucial to actively promote interdisciplinary learning and thinking. The system can not only help students break through professional limitations and build a more comprehensive and systematic knowledge system, but also effectively stimulate innovative thinking, discover the integration points of knowledge in different fields, and explore new ideas.
Optimization of teaching resources
By utilizing intelligent data analysis technology, it is possible to accurately match teaching resources and knowledge points, providing precise and adaptable support for teaching activities. At the same time, it can identify the coverage status of teaching resources, timely discover resource gaps, actively promote the widespread sharing and efficient reuse of high-quality teaching resources, and comprehensively improve teaching quality and efficiency.
Rich scene application graph
Scene graph covers a wide range of application fields, including but not limited to job graph, project graph, ideological and political graph, problem graph, competition graph, certificate graph, etc. It can meet the complex needs of customers in different scenarios, help efficient analysis and deep application, and provide visual solutions for diverse scenarios.
Support personalized learning paths
Based on students' knowledge mastery and future development direction, recommend suitable learning content, identify students' knowledge blind spots, provide targeted reinforcement, optimize learning sequence, and ensure the coherence and systematicity of the learning process.
Tracking and evaluation of learning status
Through an intuitive and clear visual interface, the system can clearly display the knowledge points that students have mastered and have not mastered at a glance. Teachers can use this to more accurately evaluate students' learning outcomes, gain insight into their learning status, and provide strong data support for adjusting teaching strategies and improving teaching methods.
Promote deep learning and support lifelong learning
Encourage students to actively explore the connections between knowledge points, break free from the constraints of simple mechanical memory, help learners quickly understand the knowledge structure of new fields, provide comprehensive support for their self-directed learning, and effectively improve learning efficiency.
Neusoft Education Graph aims to provide users with a visual expert system for professional top-level design and connotation construction centered on graphs. The system provides important support for teaching reform and high-quality development of digital education in various majors, and provides powerful tools for professional leaders and teachers to efficiently organize talent training programs and curriculum standards. By displaying the full chain relationship from training objectives, graduation requirements to curriculum system and knowledge points through a graph, the supporting relationship between curriculum and graduation requirements can be intuitively presented, providing scientific basis for educational decision-making and teaching quality, and promoting the optimization and innovation of the education system.
The system provides users with three types of graphs, including course knowledge graph, professional system graph, and scenario application graph. Integrating the curriculum knowledge graph into the best practices of Neusoft Education, the curriculum system is automatically transformed into an intuitive visual graph form through scientific curriculum structure design; The professional system diagram helps clients build a complete professional system from training objectives, graduation requirements to course knowledge points, ensuring the scientificity and coherence of professional construction; The scenario application graph includes but is not limited to various types such as job graph, project graph, ideological and political graph, problem graph, competition graph, certificate graph, etc., to meet the needs of professionals for graphs and other visualization tools in different scenarios.
Professional system and knowledge structuring and visualization
Teachers can plan and organize teaching content more clearly based on the logical framework of knowledge points. Students can use visual graphs to gain a more intuitive understanding of the relationships between knowledge points. This helps teachers and students to jointly identify key nodes and weak links in the knowledge system, and improve teaching and learning effectiveness.
Cross disciplinary and cross domain knowledge integration
In today's era of knowledge integration, it is crucial to actively promote interdisciplinary learning and thinking. The system can not only help students break through professional limitations and build a more comprehensive and systematic knowledge system, but also effectively stimulate innovative thinking, discover the integration points of knowledge in different fields, and explore new ideas.
Optimization of teaching resources
By utilizing intelligent data analysis technology, it is possible to accurately match teaching resources and knowledge points, providing precise and adaptable support for teaching activities. At the same time, it can identify the coverage status of teaching resources, timely discover resource gaps, actively promote the widespread sharing and efficient reuse of high-quality teaching resources, and comprehensively improve teaching quality and efficiency.
Rich scene application graph
Scene graph covers a wide range of application fields, including but not limited to job graph, project graph, ideological and political graph, problem graph, competition graph, certificate graph, etc. It can meet the complex needs of customers in different scenarios, help efficient analysis and deep application, and provide visual solutions for diverse scenarios.
Support personalized learning paths
Based on students' knowledge mastery and future development direction, recommend suitable learning content, identify students' knowledge blind spots, provide targeted reinforcement, optimize learning sequence, and ensure the coherence and systematicity of the learning process.
Tracking and evaluation of learning status
Through an intuitive and clear visual interface, the system can clearly display the knowledge points that students have mastered and have not mastered at a glance. Teachers can use this to more accurately evaluate students' learning outcomes, gain insight into their learning status, and provide strong data support for adjusting teaching strategies and improving teaching methods.
Promote deep learning and support lifelong learning
Encourage students to actively explore the connections between knowledge points, break free from the constraints of simple mechanical memory, help learners quickly understand the knowledge structure of new fields, provide comprehensive support for their self-directed learning, and effectively improve learning efficiency.
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