# 5.6. AI comprehensive education evaluation system

### AI comprehensive education evaluation system <a href="#toc_250005" id="toc_250005"></a>

Academic Labs uses AI technology to analyze students' performance in class discussions and interactions and evaluate their communication and collaboration skills. Key indicators such as students' contribution level and active participation in discussions can be identified. In addition, AI technology also analyzes data on students' participation in courses, task completion speed, and video-watching progress to create a learning trajectory for students. This method helps teachers develop more effective teaching strategies based on students' characteristics.

If written expression teaching is encountered during teaching, Academic Labs will use natural language processing (NLP) technology to analyze students' written works. By analyzing students' writing style, grammar accuracy, and vocabulary richness, their writing ability can be evaluated. In addition, the platform can also identify key skills such as critical thinking, logical reasoning, and point-of-view expression that students exhibit in writing, thus providing a more comprehensive measurement of students' overall abilities. Even emotional analysis can be conducted through written works to identify soft skills such as empathy and positive attitude displayed by students in communication, further enriching the assessment dimensions.

Based on multidimensional data analysis, the Academic Labs platform uses knowledge graph technology to construct students' knowledge systems. The knowledge graph can present the relationship between concepts, theories, and skills that students have mastered, helping teachers gain a deeper understanding of students' cognitive development in the course. By integrating these evaluation dimensions, Academic Labs can provide a comprehensive and multi-level learning achievement evaluation system, which will be further demonstrated in the latter section.
