Personalized e-learning architecture in standard-based education

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.