Research Article
Personalized Recommendation Method of Nursing Multimedia Teaching Resources Based on Mobile Learning
@INPROCEEDINGS{10.1007/978-3-031-28867-8_20, author={Haitao Zhang and Yufeng Sang}, title={Personalized Recommendation Method of Nursing Multimedia Teaching Resources Based on Mobile Learning}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2023}, month={3}, keywords={Mobile learning Nursing Multimedia teaching resources Personalized recommendation Learning needs Information resource system}, doi={10.1007/978-3-031-28867-8_20} }- Haitao Zhang
Yufeng Sang
Year: 2023
Personalized Recommendation Method of Nursing Multimedia Teaching Resources Based on Mobile Learning
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-28867-8_20
Abstract
Due to the variety and quantity of nursing multimedia teaching resources, the resource recommendation method has the problem of low recall rate. To this end, a mobile learning-based nursing multimedia teaching resource recommendation method was designed. First of all, this paper identifies the law of learning needs, annotates the keywords of teaching resources, and collects the data of students’ learning records, so as to improve the recall rate of the recommendation results. Build a user interest preference model, improve the nursing multimedia teaching resource recommendation process, and optimize the mobile learning personalized recommendation model. The experimental results show that the recall rates of the proposed method and the other two methods are 78.627%, 70.615% and 70.200%, respectively, indicating that the proposed method has a high recall rate.
