Abstract:

The use of information and communication technologies in educational environments is becoming more prevalent steadily. Today, learners use technological systems not only for accessing course content but also for controlling their behaviors in the course, monitoring the flow of their progress, and evaluating their performance. Such complex systems, which are involved in all processes of the learner, continuously generate and record a large amount of data. One of these systems is the LIS project initiated by UOC. LIS is an intelligent learning system developed with artificial intelligence tools. LIS performs the prediction analysis by using the historical and current data of the learner and the whole course to inform the learner and the teacher with an early warning system.

In general, the LIS system saves the data of the learner and the course's continuous assessment activities from the past to the present. In order to be capable to read the data and use it in decision-making processes, it must be effectively visualized with concrete illustration techniques. This visualized data is delivered to the end-user through interfaces called dashboards. Dashboards are collecting personal information based on various characteristics of students, their behavior, habits, thoughts, and interests. It provides graphical representations of the current and historical state to enable decision making and learner insight into the learner model.

Dashboards are used for the learner to accomplish self-monitoring and to help to understand his/her status depends on the other users. They are also used for other stakeholders to handle administrative monitoring. At the same time, dashboards are where interaction occurs between the user and the system. Mainly, It can be highlighted that with such features, the dashboard is also one of the key elements for LIS to help end-user to perform better. Analysis results, predictions, warnings, and performance indicators are addressed to the end-user via the LIS dashboard. In this regard, the aim of this study is to present the design elements of the LIS dashboard, data visualization tools, interface variety according to user types, and how to achieve user-interface interaction features.

Keywords:

Intelligent learning system, dashboard, data legibility, data visualization.