Maylon Pires Macedo, R. Paiva, I. Gasparini, L. Zaina
{"title":"Vis2Learning","authors":"Maylon Pires Macedo, R. Paiva, I. Gasparini, L. Zaina","doi":"10.1145/3424953.3426627","DOIUrl":null,"url":null,"abstract":"Information Visualization concerns efforts on creating better solutions to represent data in visual formats and consequently support the user interpretation on it. The literature has shown that there is a gap in the development of educational data visualizations which fulfill end-user needs. This paper presents Vis2Learning a guide of recommendations to support the building of visualizations applied to educational data in e-learning context. Vis2Learning provides a set of scenarios from which educational data visualizations can be developed. Each scenario comprises (i) a visual format of visualization and its characteristics; (ii) examples of how to use it; and (iii) overall recommendations to enhance the user's understanding on the data. We carried out an online questionnaire from which 34 end-users (Brazilian teachers) evaluated visualizations which were constructed by using the guide. The results reveal that the recommendations made the visualizations suitable to be applied in the e-learning context. However, our findings showed that the participants who did not have a former contact with visualizations in e-learning context struggled to understand some visual formats which are not well-known by the audience.","PeriodicalId":102113,"journal":{"name":"Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems","volume":"R-27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3424953.3426627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Information Visualization concerns efforts on creating better solutions to represent data in visual formats and consequently support the user interpretation on it. The literature has shown that there is a gap in the development of educational data visualizations which fulfill end-user needs. This paper presents Vis2Learning a guide of recommendations to support the building of visualizations applied to educational data in e-learning context. Vis2Learning provides a set of scenarios from which educational data visualizations can be developed. Each scenario comprises (i) a visual format of visualization and its characteristics; (ii) examples of how to use it; and (iii) overall recommendations to enhance the user's understanding on the data. We carried out an online questionnaire from which 34 end-users (Brazilian teachers) evaluated visualizations which were constructed by using the guide. The results reveal that the recommendations made the visualizations suitable to be applied in the e-learning context. However, our findings showed that the participants who did not have a former contact with visualizations in e-learning context struggled to understand some visual formats which are not well-known by the audience.