In the highly competitive field of civil service exam training, Huatu Shanding is overcoming the long-standing "essay correction" pain point through AI technology, driving educational services toward greater efficiency, accuracy, and personalization. As a core subject in the civil service exam with strong subjectivity and difficulty in score improvement, the essay has traditionally relied on manual grading, which suffers from long feedback cycles, high costs, and inconsistent scoring standards. Huatu Shanding transforms this highly experience-dependent subjective evaluation process into a quantifiable, traceable, and reproducible intelligent assessment process through its self-developed AI system.
The AI correction system is based on large-scale pre-trained language models and deep learning architecture, deeply integrating Huatu's more than a decade of research and development system and expert scoring rules. It not only identifies multi-dimensional elements such as article structure, logical coherence, argument depth, and language standardization, but also breaks down and scores candidates' answers based on detailed scoring criteria from past exam questions. Each essay can generate a complete report with total score, detailed comments, and revision suggestions in just 2 to 3 minutes, with response speed dozens of times faster than human grading, and scoring consistency significantly better than individual teachers' fluctuations.
More importantly, Huatu does not view AI as a tool to replace teachers, but rather builds an OMO (Online-Merge-Offline) teaching closed loop that integrates online and offline approaches: online AI provides instant, standardized initial evaluation and data insights, while offline experts conduct targeted guidance based on AI reports, focusing on thinking enhancement and personalized weakness breakthroughs. This "AI efficiency + human quality" dual-driven model ensures service scalability while maintaining educational warmth.
Currently, Huatu's AI essay correction system is leading the industry in terms of recognition accuracy, response speed, and user experience. Its goal is not only to reduce training costs, but also to provide every candidate with a practice experience close to "one-on-one special training" through frequent, low-cost intelligent feedback. In 2026, as AI accelerates its penetration into core educational areas, Huatu Shanding's practice shows that true educational intelligence lies not in showing off technology, but in using technology to solve structural challenges in real teaching scenarios, making high-quality educational resources more fair and efficient for every learner.
