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May 9, 2026International Journal of Innovation and Sustainable Development0 citationsOpen Access

Study on fine-grained classification of MOOC ideological and political teaching resources based on an improved switching ensemble algorithm

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CZChenyu ZhangXZXin ZhangJGJinming Gu

Key Points

  • This research aims to improve the classification of ideological and political teaching resources in MOOCs using advanced algorithms.
  • Developed an improved switching ensemble algorithm for classification tasks.
  • Conducted a series of evaluations to assess algorithm performance against traditional methods.
  • Applied the algorithm to classify various MOOC teaching resources, focusing on ideological and political themes.
  • The improved algorithm outperformed traditional methods with a classification accuracy increase of 15%.
  • Achieved a reduction in misclassification rates for ideological resources by 20%, enhancing resource retrieval efficiency.
  • Demonstrated potential for broader applications in educational resource management and categorization.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69fed0abb9154b0b82877badhttps://doi.org/10.1504/ijisd.2026.10078226
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Integration of Multimodal Ideological and Political Teaching Materials Based on Improved Fuzzy Clustering Algorithm2026
  2. 2Research on deep learning-based evaluation mechanisms for ideological and political education2026
  3. 3Simulation of multimodal education mode based on artificial intelligence2026
  4. 4A study on intelligent in-class education quality assessment pattern bottom on improved support vector machine2026
  5. 5Intelligent decision support in ideological and political education: a knowledge graph and affective computing approach for organisational reliability and psychological risk management2026