{"title":"Text, Table and Graph -- Which is Faster and More Accurate to Understand?","authors":"Gollapudi V. R. J. Sai Prasad, A. Ojha","doi":"10.1109/T4E.2012.18","DOIUrl":null,"url":null,"abstract":"Today's school and college textbooks are full of static, multimodal content. This research investigates which of the three modalities - text, table or graph - is more efficient in conveying a given message to students. For fixed content, we hypothesized that graph representation is better of the three for comprehension. Experiment results (N=25)suggest that graphs are indeed 25.5% faster to understand than text and 46.5% faster than tables. In terms of accuracy of responses, graphs were 13.5% worse than text and 8.6%more accurate than tables. When the ratio of amount of accurate answers for each second taken to respond was checked, graphs were faster as they enabled downloading of5.7% of the answer in one second time, whereas text downloaded only 3.6% and table only 3.9%. For our experimental data, it appears that graph mode might be faster but less accurate. However, when it comes to amount of correct comprehension, graph mode does come out better.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Fourth International Conference on Technology for Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/T4E.2012.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Today's school and college textbooks are full of static, multimodal content. This research investigates which of the three modalities - text, table or graph - is more efficient in conveying a given message to students. For fixed content, we hypothesized that graph representation is better of the three for comprehension. Experiment results (N=25)suggest that graphs are indeed 25.5% faster to understand than text and 46.5% faster than tables. In terms of accuracy of responses, graphs were 13.5% worse than text and 8.6%more accurate than tables. When the ratio of amount of accurate answers for each second taken to respond was checked, graphs were faster as they enabled downloading of5.7% of the answer in one second time, whereas text downloaded only 3.6% and table only 3.9%. For our experimental data, it appears that graph mode might be faster but less accurate. However, when it comes to amount of correct comprehension, graph mode does come out better.