Application of e-learning and interactive business experience based on edge computing in smart city tourism management

被引:0
|
作者
Qian, Wanwan [1 ,2 ]
机构
[1] Wuxi Vocat Coll Sci & Technol, Sch Culture & Tourism, Wuxi 214028, Peoples R China
[2] Univ Kuala Lumpur, Business Sch, Kuala Lumpur 54000, Malaysia
关键词
Smart city; E; -learning; Interactive business experience; Edge computing; Tourism management;
D O I
10.1016/j.entcom.2024.100681
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In order to solve the problems and challenges in smart city tourism management, this study aims to explore the application of e-learning and interactive business experience based on edge computing in smart city tourism management. The paper proposes an e-learning scheme based on edge computing, which improves the convenience and interactivity of learning by moving learning resources and interactive experiences to edge devices close to users. A combination of field research and system development was used to evaluate the effectiveness of the program through data collection and user feedback. We developed an app that transmits learning directly to a user's phone using edge computing. The results show that the e-learning scheme based on edge computing brings innovation and improvement to the smart city tourism management. By moving learning resources and interactive experiences to edge devices, and providing convenient learning content and interactive functions, and by providing location services, personalized learning recommendations and real-time interactive functions, it has successfully promoted tourists' understanding and participation of urban culture, history and scenic spots.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Application of E-Learning entertainment learning based on intelligent interactive experience in English reading assistance mode
    Chen, Hua
    ENTERTAINMENT COMPUTING, 2025, 52
  • [2] Entertainment social media based on deep learning and interactive experience application in English e-learning teaching system
    Chen, Cheng
    ENTERTAINMENT COMPUTING, 2025, 52
  • [3] Algorithmic implementation of deep learning layer assignment in edge computing based smart city environment
    Lee K.
    Silva B.N.
    Han K.
    Han, Kijun (kjhan@knu.ac.kr), 1600, Elsevier Ltd (89):
  • [4] Tourism scene monitoring using mobile edge computing and business driven action learning
    Yu, Hong
    INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING, 2022, 13 (2-3) : 282 - 290
  • [5] Empowering e-learning approach by the use of federated edge computing
    Arfaoui, Nouha
    Ksibi, Amel
    Almujally, Nouf Abdullah
    Ejbali, Ridha
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (10): : 13737 - 13748
  • [6] An Edge Computing Based Smart Healthcare Framework for Resource Management
    Oueida, Soraia
    Kotb, Yehia
    Aloqaily, Moayad
    Jararweh, Yaser
    Baker, Thar
    SENSORS, 2018, 18 (12)
  • [7] Edge computing framework for enabling situation awareness in IoT based smart city
    Hossain, S. K. Alamgir
    Rahman, Md Anisur
    Hossain, M. Anwar
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2018, 122 : 226 - 237
  • [8] Intelligent System Architecture for Smart City and its Applications Based Edge Computing
    Al-gaashani, Mehdhar
    Muthanna, Mohammed Saleh Ali
    Abdukodir, Khakimov
    Muthanna, Ammar
    Kirichek, Ruslan
    2020 12TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT 2020), 2020, : 269 - 274
  • [9] ECA: An Edge Computing Architecture for Privacy-Preserving in IoT-Based Smart City
    Gheisari, Mehdi
    Quoc-Viet Pham
    Alazab, Mamoun
    Zhang, Xiaobo
    Fernandez-Campusano, Christian
    Srivastava, Gautam
    IEEE ACCESS, 2019, 7 : 155779 - 155786
  • [10] Application of edge computing-based information-centric networking in smart cities
    Salih, Hayder Sabah
    Jaber, Mustafa Musa
    Ali, Mohammed Hasan
    Abd, Sura Khalil
    Alkhayyat, Ahmed
    Malik, R. Q.
    COMPUTER COMMUNICATIONS, 2023, 211 : 46 - 58