Investigating the suitability of multi-dimensional data visualization as an instrument for assisting distance learning instructors

Autor: Silva, Nathan Alves de L., Dourado, Raphael A., Rodrigues, Rodrigo L., Cavalcanti, Aldo A.
Jazyk: portugalština
Rok vydání: 2018
Předmět:
Zdroj: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC
Popis: This paper investigates the suitability of using Data Visualization, specifically Parallel Coordinates Plots (PCPs), as an instrument to help distance learning instructors identify students with poor performance. To answer this question, we developed a web application that lets users generate and interact with PCPs and evaluated it through usability tests inspired by the NOVIS framework — a usability framework specifically designed for evaluating data visualizations. The results show that PCPs and Data Visualization are perceived by distance learning instructors as a useful tool for following students' progress on Virtual Learning Environments
Databáze: OpenAIRE