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Author:

Zhang, Haitao (Zhang, Haitao.) | Sang, Yufeng (Sang, Yufeng.)

Indexed by:

CPCI-S EI Scopus

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.

Keyword:

Personalized recommendation Multimedia teaching resources Learning needs Mobile learning Nursing Information resource system

Author Community:

  • [ 1 ] [Zhang, Haitao]Xinyu Univ, Xinyu 338031, Peoples R China
  • [ 2 ] [Sang, Yufeng]Sch Beijing Univ Technol, Beijing 100124, Peoples R China

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Source :

ADVANCED HYBRID INFORMATION PROCESSING, ADHIP 2022, PT II

ISSN: 1867-8211

Year: 2023

Volume: 469

Page: 273-285

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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