Learning curve generation method and device, equipment and storage medium
By constructing generative models and real-time data analysis, personalized learning curves and test questions are generated, which solves the problem that traditional methods cannot accurately reflect learning performance, and achieves an efficient and targeted learning process.
CN119831794AActive Publication Date: 2025-04-15JIHUA LAB
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Patent Information
- Application Number
- CN202411891588.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-20
- Publication Date
- 2025-04-15
- Estimated Expiration
- 2044-12-20
Smart Images
Figure CN119831794A_ABST
Abstract
The invention relates to the technical field of artificial intelligence, and discloses a learning curve generation method, device and equipment and a storage medium, and the method comprises the steps: obtaining the learning historical data of a student, constructing a generative model based on the learning historical data, and employing the generative model to generate personalized subsample test questions according to a learning theme; the method comprises the following steps: acquiring answer data of students in real time, performing standardization and normalization processing on the answer data, and extracting key features from the processed answer data to obtain answer feature data; generating a personalized learning curve of the student according to the answer feature data, analyzing the personalized learning curve, and dynamically adjusting subsample test questions of the student according to the personalized learning curve; collecting learning feedback information of the students, and adjusting a learning strategy based on the learning feedback information by adopting a Harlisia eagle optimization algorithm; according to the method, the pertinence and effectiveness of learning are improved, more accurate learning progress prediction is provided, the algorithm is continuously optimized, and the accuracy and practicability of a learning curve are improved.
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Citation Information
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