SPEET: visual data analysis of engineering students performance from academic data

This paper presents the steps conducted to design and develop an IT Tool for Visual Data Analysis within the SPEET (Student Profile for Enhancing Engineering Tutoring) ERASMUS+ project. The proposed goals are to provide insight into student behaviours, to identify patterns and relevant factors of academic success, to facilitate the discovery and understanding of profiles of engineering students, and to analyse the difierences across European institutions. For that purpose, the concepts and methods used for the visual analysis of educational data are reviewed and a tool is proposed, which implements approaches based on visual interaction.

Keywords

Visual analytics Academica data Dimensionality reduction

URI

http://hdl.handle.net/10198/17990

Citation

Dominguez, Manuel; Vilanova, Ramon; Prada, Miguel; Vicario, José; Barbu, Marian; Pereira, Maria João; Podpora, Michal; Spagnolini, Umberto; Alves, Paulo; Paganoni, Anna (2018). SPEET: visual data analysis of engineering students performance from academic data. In LASI 2018 - Learning Analytics Summer Institutes - Universidad de Leon. León, Spain