TY - GEN
T1 - Enhancing the implementation of cloud-based open learning with e-learning personalization
AU - Selviandro, Nungki
AU - Suryani, Mira
AU - Hasibuan, Zainal Arifin
N1 - Publisher Copyright:
© 2015 Global IT Research Institute (GiRI).
PY - 2015/8/25
Y1 - 2015/8/25
N2 - Indonesia is a developing country that began to utilize information technology in education. A form of its implementation is the use of e-learning. However, in practice there are still some obstacles, such as learning resources are not evenly distributed, limited access to services provided, qualified educators resources are concentrated in specific areas. This led to the emergence of disparities educational process, and technology gap due to differences in ICT infrastructure owned by any educational institution. Therefore this study proposes architecture of cloud-based open learning to solve these problems. The term open learning is used in order to encouraging the development of the concept of Indonesia Open Educational Resources (IOER) and as well as the adoption of concept of cloud computing. There are several phase that we conducted in this research such as analysis, design, implementation, testing, and evaluation phase. The design of the proposed architecture consists of six layers: (1) Infrastructure, (2) Platform, (3) Application, (4) Service, (5) Access, (6) User. As a result of the implementation from this architecture is a prototype of Indonesia - Virtual Open Learning System (iVOLS). In experiment, personalization e-learning runs as a service that need large storage and other shared facilities to conduct the program so the system can delivered different learning materials to different learners. The e-learning personalization in cloud environment classified successful if the learners got the best performance on learning and it shown by their evaluation score. Based on the test results and evaluation showed that the availability on Cloud-Based Open Learning further meet user needs. This is indicated by the presence of a simple infrastructure services, application services with just one stage and the availability of a wider range of data and the resource sharing. In accessibility, Cloud-Based Open Learning provides easy access to the user. By economically, the result of evaluation showed that Cloud-Based Open Learning has an investment of 35.61% efficiency, increase Return On Investment (ROI) of 60.95% and Net Present Value (NPV) of 81.97% from the user's perspective. While from the provider's perspective, Cloud-Based Open Learning has an investment of 200% efficiency, increase Return On Investment (RoI) of 220.4% and Net Present Value (NPV) of 109.55%.
AB - Indonesia is a developing country that began to utilize information technology in education. A form of its implementation is the use of e-learning. However, in practice there are still some obstacles, such as learning resources are not evenly distributed, limited access to services provided, qualified educators resources are concentrated in specific areas. This led to the emergence of disparities educational process, and technology gap due to differences in ICT infrastructure owned by any educational institution. Therefore this study proposes architecture of cloud-based open learning to solve these problems. The term open learning is used in order to encouraging the development of the concept of Indonesia Open Educational Resources (IOER) and as well as the adoption of concept of cloud computing. There are several phase that we conducted in this research such as analysis, design, implementation, testing, and evaluation phase. The design of the proposed architecture consists of six layers: (1) Infrastructure, (2) Platform, (3) Application, (4) Service, (5) Access, (6) User. As a result of the implementation from this architecture is a prototype of Indonesia - Virtual Open Learning System (iVOLS). In experiment, personalization e-learning runs as a service that need large storage and other shared facilities to conduct the program so the system can delivered different learning materials to different learners. The e-learning personalization in cloud environment classified successful if the learners got the best performance on learning and it shown by their evaluation score. Based on the test results and evaluation showed that the availability on Cloud-Based Open Learning further meet user needs. This is indicated by the presence of a simple infrastructure services, application services with just one stage and the availability of a wider range of data and the resource sharing. In accessibility, Cloud-Based Open Learning provides easy access to the user. By economically, the result of evaluation showed that Cloud-Based Open Learning has an investment of 35.61% efficiency, increase Return On Investment (ROI) of 60.95% and Net Present Value (NPV) of 81.97% from the user's perspective. While from the provider's perspective, Cloud-Based Open Learning has an investment of 200% efficiency, increase Return On Investment (RoI) of 220.4% and Net Present Value (NPV) of 109.55%.
KW - Cloud Computing
KW - E-Learning
KW - Indonesia Open Educational Resources
KW - Personalization
UR - http://www.scopus.com/inward/record.url?scp=84949961578&partnerID=8YFLogxK
U2 - 10.1109/ICACT.2015.7224912
DO - 10.1109/ICACT.2015.7224912
M3 - Conference contribution
AN - SCOPUS:84949961578
T3 - International Conference on Advanced Communication Technology, ICACT
SP - 472
EP - 479
BT - IEEE 17th International Conference on Advanced Communications Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Advanced Communications Technology, ICACT 2015
Y2 - 1 July 2015 through 3 July 2015
ER -