Visualizing uncertainty in the pbkp_rediction of academic risk

Abstract:

This work proposes a generic visual representation to help relevant decision-makers to effectively address the inherent uncertainty present in the pbkp_rediction of academic risk based on historical data. The three main sources of uncertainty in this type of pbkp_rediction are visualized: the model pbkp_redictive power, the data consistency and the case completeness of the historic dataset. To demonstrate the proposed visualization technique, it is instantiated in a real-world scenario where the risk to fail at least one course in an academic semester is pbkp_redicted and presented in a student-counseling system. This work also proposes how this visualization technique can be evaluated and applied to other Visual Learning Analytics tools.

Año de publicación:

2015

Keywords:

• Uncertainty Visualization
• academic risk
• Visual Learning Analytics

Fuente:

scopus