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A distance education micro course teaching resources recommendation system based on deep learning was designed to improve the accuracy and effectiveness of resource recommendations. This system consists of hardware components like a data collector, resource storage processor, and master controller, as well as software components including a resource database and management module. By leveraging the capabilities of deep neural networks, this model can analyze complex learner-resource relationships and provide precise recommendations for distance education micro course teaching resources. The system test results show that the designed system has high recommendation accuracy and user satisfaction, and has high practical application reliability.

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The Design of a Deep Learning-Based Recommendation System for Teaching Resources in Distance Education Microcourses

  • 会议论文

  • 发表日期：

    2026年

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  • Zhichang Huang,
  • Shi Tang

摘要

A distance education micro course teaching resources recommendation system based on deep learning was designed to improve the accuracy and effectiveness of resource recommendations. This system consists of hardware components like a data collector, resource storage processor, and master controller, as well as software components including a resource database and management module. By leveraging the capabilities of deep neural networks, this model can analyze complex learner-resource relationships and provide precise recommendations for distance education micro course teaching resources. The system test results show that the designed system has high recommendation accuracy and user satisfaction, and has high practical application reliability.