Learning Analytics Dashboard Model to Supervise a Distance Learning
Zakaria Lahbi1, Mohamed Sabbane2
1Zakaria Lahbi *, Modeling, Analysis and Control Systems laboratory, Moulay Ismail University of Meknes, ,Morocco.
2Mohamed Sabbane, Modeling, Analysis and Control Systems laboratory, Moulay Ismail University of Meknes, ,Morocco.

Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 3944-3949 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6675018520/2020©BEIESP | DOI: 10.35940/ijrte.E6675.018520

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Providing performance measures of training devices becomes a necessity for teachers. Without having them, teachers will have no clue in measuring the goals achieved. However, the analysis techniques available today allow us to go further and to consider new applications to serve the quality and effectiveness of training devices. This article presents the design and the implementation of a system for the supervision of an online course and the different roles involved in a computer environment for human learning. As a result, a description of the needs in terms of dashboards during data observation phases generated during a learning situation will be provided. Our objective is to define all the stakeholders that a dashboard can contain, the different user profiles, their activities, their viewing preferences and their objectives. Our main goal is the design and implementation of a dashboard model that meets all the requirements of different stakeholders of consultation or adaptation rating and customization. This model will give results in the form of different visualization style that will discuss in this article.
Keywords: Learning Analytics, Online Course, Dashboard, Supervision Course, Learner Profile, User Interactions.
Scope of the Article: Data Analytics.