The limitation of terminal equipment and the scarcity of mobile learning resource are key constrains of mobile learning development. However, cloud computing supplies a new way of solving the problem. For cloud computing, the calculation and the storage of task are conducted in the cloud server. As a result, computing and storage work of mobile phone are separated from the machine. So user can customize through cloud computing services according to personal need. Thus a lot of works that are realized only in high-performance computers before, but now can be finished through the mobile phones with poor configuration. This paper through theoretical study and based on the theory of mobile learning and cloud computing, it points out the disadvantages of mobile learning and puts forward the solution of cloud computing technology.
목차
Abstract 1. Introduction 2. The Overview of Clouds Computing Assisted Instruction 2.1. Clouds Computing 2.2. Cloud Computing Assisted Instruction 3. Theory of Mobile Learning 3.1. Interpretation of Mobile Learning (M-learning) 3.2. Resources Design of Mobile Learning 3.3. Design of Mobile Learning Support 3.4. Information Consulting Services 3.5. Technology Support Services 3.6. Learning Methods Support 3.7. Design of Mobile Learning Scenes 4. Deployment Environment Design of Cloud 4.1. Measurement about Cloud Model 5. Design of Mobile Learning Model 6. Conclusion References
키워드
Mobile learningCloud servercloud computing
저자
Xin Liu [ Hunan Railway Professional Technology College, Hunan, China ]
보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Grid and Distributed Computing
간기
격월간
pISSN
2005-4262
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing Vol.8 No.6