Open AccessBuilding information visualization of e-learning data with Vis2Learning guidelines
Author(s) -
Maylon Pires Macedo,
Ranilson Paiva,
Isabela Gasparini,
Luciana A. M. Zaina
Publication year - 2022
Publication title -
journal on interactive systems
Language(s) - English
Resource type - Journals
ISSN - 2763-7719
DOI - 10.5753/jis.2022.1967
Subject(s) - computer science , visualization , context (archaeology) , set (abstract data type) , process (computing) , chart , data visualization , information visualization , data science , human–computer interaction , data set , data mining , artificial intelligence , paleontology , statistics , mathematics , biology , programming language , operating system
Information Visualization provides techniques to make better charts that enhance human perception about patterns in data and consequently support the user interpretation. In the educational area, visualizations help professionals to analyze a great amount of data to inform decisions to improve the learningteaching process. The literature has shown that there is a gap in the development of educational data visualizations that fulfill enduser needs. This paper presents Vis2Learning: a scenariobased set of guidelines for the development of visualizations in the elearning context. Vis2Learning provides a set of scenarios from which educational data visualizations can be developed, for each scenario, we provide the recommended chart, its aim, characteristics and examples of its application in the elearning context. Besides, we provide a set of guidelines to improve users’ interaction with each chart. We applied an online questionnaire with 34 endusers (Brazilian teachers), evaluating visualizations that were created by using the Vis2Learning. The results reveal: (1) the visualizations, based on Vis2Learning, were more suitable to be applied in the elearning context; (2) some nontraditional visualization formats are difficult to interpret by users who did not have previous experience with visualizations in the elearning context; and (3) experience in teaching is not strictly related to knowledge of charts about educational data.