Development and application of micro course resources for pre-school education based on collaborative filtering algorithm
Abstract
To address the issues of uneven resource distribution and the challenge of meeting individual needs in pre-school education, a micro-lesson resource recommendation system based on collaborative filtering algorithms was developed. By integrating multi-source data, matrix decomposition, and a hybrid recommendation model, the system enhances both the accuracy and diversity of its recommendations. Feedback collected from 300 children and 451 parents indicated that the recommendation system increased understanding, knowledge mastery, learning interest, and parent satisfaction by 15 %, 20 %, 18 %, and 10 %, respectively. Additionally, the system's real-time capabilities and response speed were optimized, ensuring that users receive the necessary resources promptly. These findings demonstrate the system's effectiveness in improving the quality of pre-school education and user satisfaction, while also providing technical support for the digital advancement of pre-school education.
Identifier Metadata
| Identifier | 110.0786/CON.2026.00757 |
| Canonical | mdoi:110.0786/CON.2026.00757 |
| Resolver URL | https://mdoi.org/110.0786/CON.2026.00757 |
| Resource URL | Open resource |
| Document URL | Open document |
| Content Type | Article |
| Authors | Junjun Zhang |
| Year | 2025 |
| Depositor | Convergence Chronicles Organisation |
| Prefix | 110.0786 |
| Registered | July 23, 2026 |
| Updated | July 23, 2026 |
| Status | Active |
| Visibility | Public |
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