DingTalk and Quark Launch Joint "AI Homework Grading" Feature: Automatic Creation of Class and Individual Error Question Banks

Deep News
Yesterday

DingTalk announced the launch of a new "AI Homework Grading" feature in collaboration with Quark. Teachers and students can achieve intelligent homework grading and automatic error categorization through photo-taking, generating both class and individual error question banks.

This marks Quark's first systematic introduction of learning scenario technology into classroom teaching, signaling AI's evolution from after-school tutoring to core teaching processes. The feature is built on Quark's billion-level professional question database and accumulated photo-solving technology, enabling precise identification of question types and knowledge point matching.

For teachers, AI can compress daily grading time from 2 hours to 10 minutes while automatically generating class-wide common error reports, eliminating omissions or misjudgments in manual compilation and helping educators dynamically track class learning weaknesses. On the student side, personal error question banks are generated simultaneously, providing instant grading feedback and intelligent recommendations for similar question types, achieving "master one question, understand one category" deep learning.

This collaboration is not Quark's first venture into the education sector. The "Quark Teacher" AI tutoring system launched in June can already provide personalized learning plans based on student learning profiles, including stage objectives, error history, and knowledge point mapping.

Industry experts indicate that this "AI+platform" model may reshape teaching processes—enabling teachers to focus more on instructional design and interaction by freeing them from mechanical tasks, allowing students to improve efficiency through data-driven precision practice, and enabling parents to track learning progress in real-time, forming a three-way collaborative educational ecosystem.

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