Method for evaluating thinking ability in bilingual writing based on deep learning

By refining the elements of thinking ability and designing the Q matrix in Second Language writing and converting it into a deep learning framework, the problem that traditional technology is difficult to evaluate thinking ability is solved, and the accurate evaluation and diagnosis of thinking ability in Second Language writing is achieved.

CN119721160AActive Publication Date: 2025-03-28BEIJING UNIV OF TECH
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Patent Information

Application Number
CN202411801750.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-03-28
Estimated Expiration
2044-12-09

AI Technical Summary

Technical Problem

It is difficult for the existing technology to effectively evaluate the ability to think in Second Language writing. The traditional cognitive diagnostic framework has problems of linear constraints and insufficient expression ability, and it is impossible to accurately evaluate the ability to think in depth.

Method used

The elements of thinking ability in specific writing tasks are extracted through the expert discussion method, the corresponding projects and Q matrix are designed, and they are converted into representable objects in the deep learning framework, and the gradient descent method in deep learning iteration is used to automatically solve the student-ability correspondence relationship.

Benefits of technology

It realizes accurate evaluation and diagnosis of thinking ability in Second Language writing, enhances the expression ability of the model through a deep learning framework, and can generate individual and overall evaluation reports for students.

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Abstract

The invention discloses a deep learning-based bilingual writing thinking ability evaluation method, and belongs to the field of deep learning. The invention provides a method and a process for converting bilingual writing thinking ability expression in a deep learning framework, the provided deep learning framework and the provided method and the process for obtaining an individual evaluation report and an overall evaluation report based on parameters in deep learning obtained by training, which are all original. The Q matrix provided by the invention is original, and experimental verification shows that the Q matrix accords with the current Chinese college students for evaluating the thinking ability in English writing.
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