TY - GEN
T1 - Personalized e-learning architecture in standard-based education
AU - Laksitowening, Kusuma Ayu
AU - Hasibuan, Zainal Arifin
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/16
Y1 - 2016/2/16
N2 - Naturally every individual is unique. Thus, learning process in every learner is also different. On the other hand, education requires every learner to achieve a certain standard of competency. Standards are made to ensure all learners meet the defined learning outcome. In order to help learner achieve the targeted competency based on their own pace and way of learning, we propose personalized e-learning architecture that complies with standard. This study explores various theories and best practices of e-learning and confronted with various ways of learning due to cultural diversity in Indonesia. The analysis reveals components that commonly play important part in personalization: integrated learning structure, learner model, personalized learning scenario, personalized content selection, and portfolio-based assessment. These five components are interrelated to compose personalized e-learning system. The proposed architecture facilitates various ways of learning as well as aligns with expected learning outcome. A prototype system of the proposed architecture will be built in future to show the contribution.
AB - Naturally every individual is unique. Thus, learning process in every learner is also different. On the other hand, education requires every learner to achieve a certain standard of competency. Standards are made to ensure all learners meet the defined learning outcome. In order to help learner achieve the targeted competency based on their own pace and way of learning, we propose personalized e-learning architecture that complies with standard. This study explores various theories and best practices of e-learning and confronted with various ways of learning due to cultural diversity in Indonesia. The analysis reveals components that commonly play important part in personalization: integrated learning structure, learner model, personalized learning scenario, personalized content selection, and portfolio-based assessment. These five components are interrelated to compose personalized e-learning system. The proposed architecture facilitates various ways of learning as well as aligns with expected learning outcome. A prototype system of the proposed architecture will be built in future to show the contribution.
KW - architecture
KW - personalized e-learning
KW - standard-based education
UR - http://www.scopus.com/inward/record.url?scp=84966586683&partnerID=8YFLogxK
U2 - 10.1109/ICSITech.2015.7407787
DO - 10.1109/ICSITech.2015.7407787
M3 - Conference contribution
AN - SCOPUS:84966586683
T3 - Proceedings - 2015 International Conference on Science in Information Technology: Big Data Spectrum for Future Information Economy, ICSITech 2015
SP - 110
EP - 114
BT - Proceedings - 2015 International Conference on Science in Information Technology
A2 - Hendriana, Yana
A2 - Pranolo, Andri
A2 - Prahara, Adhi
A2 - Ismi, Dewi Pramudi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Science in Information Technology, ICSITech 2015
Y2 - 27 October 2015 through 28 October 2015
ER -