Building information visualization of e-learning data with Vis2Learning guidelines

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 l...

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Main Authors: Maylon Pires Macedo, Ranilson Oscar Araújo Paiva, Isabela Gasparini, Luciana A. M. Zaina
Format: Article
Language:English
Published: Brazilian Computer Society 2022-01-01
Series:Journal on Interactive Systems
Subjects:
Online Access:https://sol.sbc.org.br/journals/index.php/jis/article/view/1967
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author Maylon Pires Macedo
Ranilson Oscar Araújo Paiva
Isabela Gasparini
Luciana A. M. Zaina
author_facet Maylon Pires Macedo
Ranilson Oscar Araújo Paiva
Isabela Gasparini
Luciana A. M. Zaina
author_sort Maylon Pires Macedo
collection DOAJ
description 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.
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spelling doaj.art-a744ced8625f41628a8a6c71ccd50a762023-02-09T18:01:17ZengBrazilian Computer SocietyJournal on Interactive Systems2763-77192022-01-01131425310.5753/jis.2022.19671564Building information visualization of e-learning data with Vis2Learning guidelinesMaylon Pires Macedo0https://orcid.org/0000-0002-2686-1103Ranilson Oscar Araújo Paiva1https://orcid.org/0000-0002-0894-751XIsabela Gasparini2https://orcid.org/0000-0002-8094-9261Luciana A. M. Zaina3https://orcid.org/0000-0002-1736-544XFederal University of São Carlos (UFSCar)Federal University of Alagoas (UFAL) Santa Catarina State University (UDESC)Federal University of São Carlos (UFSCar)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.https://sol.sbc.org.br/journals/index.php/jis/article/view/1967information visualizationuser interactioninfovis educational datalearning analytics
spellingShingle Maylon Pires Macedo
Ranilson Oscar Araújo Paiva
Isabela Gasparini
Luciana A. M. Zaina
Building information visualization of e-learning data with Vis2Learning guidelines
Journal on Interactive Systems
information visualization
user interaction
infovis
educational data
learning analytics
title Building information visualization of e-learning data with Vis2Learning guidelines
title_full Building information visualization of e-learning data with Vis2Learning guidelines
title_fullStr Building information visualization of e-learning data with Vis2Learning guidelines
title_full_unstemmed Building information visualization of e-learning data with Vis2Learning guidelines
title_short Building information visualization of e-learning data with Vis2Learning guidelines
title_sort building information visualization of e learning data with vis2learning guidelines
topic information visualization
user interaction
infovis
educational data
learning analytics
url https://sol.sbc.org.br/journals/index.php/jis/article/view/1967
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