{"title":"Hypothesis and Verification Based Measurement of Information Literacy","authors":"A. Sumida, Y. Hara","doi":"10.1109/INGS.2008.17","DOIUrl":null,"url":null,"abstract":"This paper reports the results of the research and the analyzing into the difference of personal information literacy in using Web search. In recent information explosion Era, a huge deal of information is ordered on Web, but there would be a large gap of Information Literacy. We researched this gap by means of \"information literacy test\" we had made. This paper reports the relationship to the Information Literacy with each subject's attribute. The result is that 30s women shows the highest performance. And we classified four types of information retrieval. Besides, this paper proposes the necessity to provide new type search engine for low information literacy layer.","PeriodicalId":356148,"journal":{"name":"2008 International Workshop on Information-Explosion and Next Generation Search","volume":"106 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Workshop on Information-Explosion and Next Generation Search","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INGS.2008.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper reports the results of the research and the analyzing into the difference of personal information literacy in using Web search. In recent information explosion Era, a huge deal of information is ordered on Web, but there would be a large gap of Information Literacy. We researched this gap by means of "information literacy test" we had made. This paper reports the relationship to the Information Literacy with each subject's attribute. The result is that 30s women shows the highest performance. And we classified four types of information retrieval. Besides, this paper proposes the necessity to provide new type search engine for low information literacy layer.