DESIGN OF A LEARNING ASSISTANCE FRAMEWORK FOR PROLONGED EVACUATION LIFE IN AN ERA OF MASSIVE NATURAL DISASTERS

被引:0
|
作者
Togawa, S. [1 ]
Kondo, A. [2 ]
Kanenishi, K. [3 ]
机构
[1] Shikoku Univ, Educ Ctr Informat Proc, Shikoku, Ehime, Japan
[2] Shikoku Univ, Fac Management & Informat Sci, Shikoku, Ehime, Japan
[3] Tokushima Univ, Ctr Univ Educ, Tokushima, Japan
关键词
e-learning; disaster reduction for learners; client-side virtualization; high latency internet;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This paper outlines the design of a learning assistance framework for evacuated students. As natural disasters intensify due to climate change, evacuation timespans are becoming prolonged. This is not an exception for learners like university students. Current e-learning environments assume the existence of a stable Internet connection. However, the Internet may not be sufficiently accessible in evacuation centers for e-learning. In unstable communication environments such as makeshift Wi-Fi networks used in evacuation centers, it is difficult to conduct e-learning. Thus, a mechanism that can allow students to engage in e-learning in evacuation situations is required. In this paper, we describe the design of a learning assistance framework for evacuated learners and show the results of our experimental use of the framework.
引用
收藏
页码:8252 / 8256
页数:5
相关论文
共 10 条
  • [1] FRAMEWORK DESIGN OF NATURAL DISASTERS AND EMERGENCY MANAGEMENT SYSTEM ORIENTED TO REGION
    Zhao, Qingzhan
    Zheng, Xurong
    Li, Wei
    Wang, Chuanjian
    Zhang, Xianfeng
    2013 FIFTH INTERNATIONAL CONFERENCE ON GEO-INFORMATION TECHNOLOGIES FOR NATURAL DISASTER MANAGEMENT (GIT4NDM), 2013, : 108 - +
  • [2] Augmented reality remote assistance to enhance learning using a novel framework design
    Sumithra, T. V.
    Ragha, Leena
    Desai, Rishi
    Vaishya, Arpit
    INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCED LEARNING, 2025, 17 (01)
  • [3] Revising "Nutritional Reference Values for Feeding at Evacuation Shelters" According to Nutrition Assistance by Public Health Dietitians Based on Past Major Natural Disasters in Japan: A Qualitative Study
    Sudo, Noriko
    Shimada, Ikuko
    Tsuboyama-Kasaoka, Nobuyo
    Sato, Keiichi
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (19)
  • [4] A framework of integrating machine learning model and pavement life cycle assessment to optimize asphalt mixture design
    Xu, Chang
    Chen, Xiao
    Zeng, Qingwei
    Cai, Mingmao
    Zhang, Wenxuan
    Yu, Bin
    CONSTRUCTION AND BUILDING MATERIALS, 2025, 469
  • [5] Eco-Design Learning Framework on Integrating Life Cycle Assessment Into Engineering Courses for Sustainability Competency Enhancement
    Deng, Jielian
    Du, Lizhi
    Xia, Jianwen
    Li, Yafei
    Cai, Xiaoman
    IEEE ACCESS, 2021, 9 : 160596 - 160606
  • [6] Automating life cycle assessment for additive manufacturing with machine learning: Framework design, dataset buildup, and a case study
    Naser, Ahmed Z.
    Defersha, Fantahun
    Xu, Xun
    Yang, Sheng
    JOURNAL OF MANUFACTURING SYSTEMS, 2023, 71 : 504 - 526
  • [7] MULA, an affordable framework for multifunctional liquid automation in natural- and life sciences with a focus on hardware design, setup, modularity and validation
    Richter, Leon F.
    Buechele, Wolfgang R. E.
    Imhof, Alexander
    Kuehn, Fritz E.
    HARDWAREX, 2024, 20
  • [8] Deep learning-aided optimization framework for hybrid braced structures to support life-cycle cost-based design
    Zhang, Ruibin
    Wang, Wei
    Alam, M. Shahria
    ENGINEERING STRUCTURES, 2025, 327
  • [9] Machine learning and genetic algorithm-based framework for the life-cycle cost-based optimal design of self-centering building structures
    Hu, Shuling
    Lei, Xiaoming
    JOURNAL OF BUILDING ENGINEERING, 2023, 78
  • [10] Lern- und Assistenzsysteme partizipativ integrieren – Entwicklung einer Systematik zur Prozessgestaltung auf Basis eines organisationspädagogischen AnsatzesParticipative integration of learning and assistance systems—developing a framework for process design based on organizational education approaches
    Alinde Keller
    Susanne Maria Weber
    Melanie Rentzsch
    Tina Haase
    Zeitschrift für Arbeitswissenschaft, 2021, 75 (4) : 455 - 469