Adaptive Device Context Based Mobile Learning Systems

被引:11
|
作者
Pu, Haitao [1 ]
Lin, Jinjiao [2 ]
Song, Yanwei [3 ]
Liu, Fasheng [1 ,4 ]
机构
[1] Shandong Univ Sci & Technol, Qingdao, Peoples R China
[2] Shandong Econ Univ, Jinan, Shandong, Peoples R China
[3] Shandong Univ, Comp Software & Theory, Jinan, Shandong, Peoples R China
[4] Shandong Univ Sci & Technol, Dept Elect Engn & Informat Technol, Qingdao, Peoples R China
关键词
Adaptability; Context; Device Independence; Mobile Learning; Mobile Learning Systems;
D O I
10.4018/jdet.2011010103
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for mobile devices to adapt to e-learning is presented. To provide device-independence mobile learning services, a context-aware mobile learning approach is proposed. Firstly, the formal definitions of contexts and their influence on mobile learning services, including device contexts NCxt, matrix of information transmission parameters S, the degree of influence of the context NCxt on information transmission parameters Q, and adaptation coefficient E, are given. By using this approach, the mobile learning system is constructed. In an example using this approach, the authors detect the contextual environment of mobile computing and adapt the mobile learning services to the learners' devices automatically.
引用
收藏
页码:44 / 56
页数:13
相关论文
共 50 条
  • [11] Considering learning styles and context-awareness for mobile adaptive learning
    Tortorella R.A.W.
    Graf S.
    Education and Information Technologies, 2017, 22 (1) : 297 - 315
  • [12] Reinforcement Learning-Based Power Management Policy for Mobile Device Systems
    Kwon, Eunji
    Han, Sodam
    Park, Yoonho
    Yoon, Jongho
    Kang, Seokhyeong
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2021, 68 (10) : 4156 - 4169
  • [13] Adaptive Context Aware and Intelligent searching in Mobile Learning Applications
    Chin-Bang You
    2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 5, 2010, : 802 - 806
  • [14] Adaptive Deadline Determination for Mobile Device Selection in Federated Learning
    Lee, Jaewook
    Ko, Haneul
    Pack, Sangheon
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (03) : 3367 - 3371
  • [15] A device-independent system architecture for adaptive mobile learning
    Zhao, Xinyou
    Okamoto, Toshio
    8TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS, 2008, : 23 - 25
  • [16] Constructing an Adaptive Mobile Learning System for the Support of Personalized Learning and Device Adaptation
    Huang, Ho-Chuan
    Wang, Tsui-Ying
    Hsieh, Fu-Ming
    12TH INTERNATIONAL EDUCATIONAL TECHNOLOGY CONFERENCE - IETC 2012, 2012, 64 : 332 - 341
  • [17] User, context and device modeling for adaptive user interface systems
    Castillejo, Eduardo
    Almeida, Aitor
    López-de-Ipiña, Diego
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, 8276 : 94 - 101
  • [18] A Machine Learning Based Framework for Adaptive Mobile Learning
    Al-Hmouz, Ahmed
    Shen, Jun
    Yan, Jun
    ADVANCES IN WEB BASED LEARNING - ICWL 2009, 2009, 5686 : 34 - 43
  • [19] Adaptive mobile cooperation model based on context awareness
    Wang, WH
    Qin, Z
    FRONTIERS OF WWW RESEARCH AND DEVELOPMENT - APWEB 2006, PROCEEDINGS, 2006, 3841 : 1189 - 1192
  • [20] A Context-Based Adaptation In Mobile Learning
    Alila, F. Soualah
    Mendes, F.
    Nicolle, C.
    BULLETIN OF THE TECHNICAL COMMITTEE ON LEARNING TECHNOLOGY, 2013, 15 (04): : 14 - 18