Personality Learning Analytics System in Intelligent Virtual Learning Environment

In this paper, the researchers propose a conceptual for system architecture of learning analytics process in the intelligent learning environment. Within this concept, today's competitive business environment need for businesses in order to implement the monitor and analyze the user-generated data on their own and their competitors. The achievement of competitive advantage is often necessary to listen to and understand what customers are saying about competitors' products and services. Not only personality analytics but also the conceptual description can capture an intelligent learning environment, and it is the analytic tools that are used to improve learning and education. The researchers also discuss how learning analytics is developed in different fields. It closely tied to, a series of other fields of study including business intelligence, web analytics, academic analytics, educational data mining, and action analytics. The researchers believe that conceptual of personality analytics in the intelligent learning environment can play an essential role in managing and analyzing personality and contribute to the concept of personality analytics in the intelligent learning environment. The results of this research could be summarized as follows: learning analytics process should be used as measuring and collecting data about learners and learning with the aim of improving teaching and learning practice through analysis of the data. By achieving this process, it should collect data to report or analyze the happening about the learner. Then, instructors monitor learning what is happening now, while as learning analytics should get what is going to happen in the future for learners. Finally, instructors take action to feedback learners.