Reading
An Agent skill for Zhixue (an online education platform) and web-based subjective question grading scenarios, which assists teachers in completing subjective question scoring, feedback, and grade management tasks through automated workflows.
Section 01
This project is an Agent skill for Zhixue and web-based subjective question grading scenarios. As a modular component, it can be integrated into AI Agent systems, aiming to solve pain points such as time-consuming and labor-intensive subjective question grading and insufficient scoring consistency through automated workflows, thereby improving grading efficiency and quality.
Section 02
As a widely used online education platform, Zhixue undertakes a large number of digital management tasks, but grading subjective questions (essays, problem-solving questions, etc.) has always been a difficult point—not only time-consuming and labor-intensive, but also facing multiple challenges such as consistency of scoring standards, timeliness of feedback, and teachers' workload. This project develops an Agent skill for this scenario to improve efficiency and quality through automated workflows.
Section 03
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Section 06
This project is positioned as an "existing system enhancer", which does not change the school's existing processes and provides lightweight efficiency improvement.
Section 07
Section 08
This project represents a pragmatic path of educational informatization: AI acts as a teacher's assistant to handle mechanical work, allowing teachers to focus on professional judgment and interpersonal interaction. This "human-machine collaboration" model respects teachers' professionalism, improves work experience, and reduces resistance to change. In the future, with technological progress, educational tools will better understand students' answers, allowing education to return to the essence of focusing on students' growth.
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