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South China Normal University High School

The traditional teaching model still has room for further optimization in terms of resource allocation, classroom feedback, and assessment methods. As academic administration and students' personalized development needs continue to grow, there is an urgent need for intelligent tools to drive innovation and transformation.

AI + Smart Education Agent

Release date:2025.07.24

Pain points of demand

Solution

Driving a Deep Transformation in Educational Scenario Applications

AI Teacher Assistant Agent

Integrating knowledge graphs with multi-modal interaction technologies, it intelligently combines cross-disciplinary teaching resources, analyzes classroom behaviors, and provides teachers with dynamic lesson planning and actionable recommendations for teaching optimization.

AI Exam Diagnostic Agent

Building a student performance analysis model based on deep learning, which leverages semantic understanding and problem-solving tracking to enable closed-loop assessment of knowledge mastery, cognitive gaps, and applied skills.

AI Academic Intelligence Agent

Integrating operations research algorithms with multi-source data, we deliver intelligent course scheduling, resource allocation, and quality monitoring—reshaping academic administration processes to enable seamless, high-efficiency collaboration.

AI Competition Agent

By integrating adversarial training with strategic reasoning, we have developed a comprehensive, end-to-end training system tailored to typical problem types in science competitions, enhancing both teachers' and students' practical skills and innovative capabilities.

AI Discipline Agent

Leveraging the expertise of experienced teachers, we simulate teaching approaches to provide educators with digital support; while identifying students' knowledge gaps, we create personalized learning pathways.

Impact Value

Deeply integrating artificial intelligence into various aspects such as teaching, learning, management, and competitions.

Explore the practical applications of AI agents in teaching assistance, resource allocation, and instructional decision-making to enhance both teaching quality and administrative efficiency.

In the collaborative evolution of technology-driven empowerment and educational practice

The two sides will jointly promote a shift in smart education, moving from being "technology-driven" to fostering "emotional connection."

Building a smart partner that combines teaching expertise with warmth.

Achieve multi-dimensional improvements in educational governance, classroom innovation, and teaching quality, paving the way for the education sector to advance into a new era of digital and intelligent transformation.

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