'Intelligent Context' for Personalised M-Learning

被引:3
|
作者
Moore, Philip [1 ]
Hu, Bin [1 ]
Jackson, Mike [1 ]
Wan, Jizheng [1 ]
机构
[1] Birmingham City Univ, Dept Comp, Birmingham, W Midlands, England
关键词
D O I
10.1109/CISIS.2009.97
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Developments in higher education have driven interest in personalised education. Concomitant with these developments are the evolving capabilities of mobile technologies. Context has been shown to facilitate personalisation in mobile systems, the issue is how to effectively create and implement an individual's profile (termed context). 'Intelligent Context' provides a basis for realising an effective solution to this issue. This paper briefly considers context, introduces 'Intelligent Context' and presents a brief evaluation. The paper concludes with conclusions and future research.
引用
收藏
页码:247 / 254
页数:8
相关论文
共 50 条
  • [1] Models for an Intelligent Context-Aware Blended m-Learning System
    Newell, David
    Davies, Philip
    Austin, Ron
    Moore, Philip
    Sharma, Mak
    [J]. 2015 IEEE 29TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS WAINA 2015, 2015, : 405 - 410
  • [2] ADAPTING SCORM TO M-LEARNING CONTEXT
    Fermoso Garcia, Ana Maria
    Pedrero Esteban, Alberto
    [J]. ANYWHERE, ANYTIME - EDUCATION ON DEMAND, VOL II, 2011, : 13 - 17
  • [3] Hoarding content in M-learning context
    Trifonova, A
    Ronchetti, M
    [J]. Third IEEE International Conference on Pervasive Computing and Communications, Workshops, 2005, : 327 - 331
  • [4] M-Learning in Romania in the university context
    Ramona, Lacurezeanu
    Petronella, Vlad Miranda
    Alexandru, Chis
    Liviu, Nistor Razvan
    [J]. PROCEEDINGS OF THE 4TH WSEAS/IASME INTERNATIONAL CONFERENCE ON EDUCATIONAL TECHNOLOGIES (EDUTE'08), 2008, : 182 - 187
  • [5] Applying CMM Towards an m-Learning Context
    Alrasheedi, Muasaad
    Capretz, Luiz Fernando
    [J]. INTERNATIONAL CONFERENCE ON INFORMATION SOCIETY (I-SOCIETY 2013), 2013, : 146 - 151
  • [6] Leveraging the Power of Deep Learning Technique for Creating an Intelligent, Context-Aware, and Adaptive M-Learning Model
    Adnan, Muhammad
    AlSaeed, Duaa H.
    Al-Baity, Heyam H.
    Rehman, Abdur
    [J]. COMPLEXITY, 2021, 2021
  • [7] Agents in m-learning systems based on intelligent tutoring
    Glavinic, Vlado
    Rosic, Marko
    Zelic, Marija
    [J]. UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION: APPLICATIONS AND SERVICES, PT 3, PROCEEDINGS, 2007, : 578 - +
  • [8] INTELLIGENT M-LEARNING APPLICATION FOR PLANT LEAF RECOGNITION
    Hanzlik, Petr
    Pavlicek, Josef
    Tuma, Jakub
    [J]. EFFICIENCY AND RESPONSIBILITY IN EDUCATION 2014, 2014, : 179 - 185
  • [9] "Audiovisual Context". An application in m-learning for the training of the master
    Soler Rodriguez, Rosalina
    Figueroa Corrales, Eufemia
    [J]. ATENAS, 2019, 2 (46): : 79 - 93
  • [10] Personalized intelligent M-learning system for supporting effective English learning
    Chen, Chih-Ming
    Hsu, Shih-Hsun
    Li, Yi-Lun
    Peng, Chi-Jul
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS, 2006, : 4898 - +