{"title":"Learning in Communities: How Do Outstanding Users Differ From Other Users?","authors":"T. B. Procaci, S. Siqueira, B. Nunes","doi":"10.1109/ICALT.2018.00048","DOIUrl":null,"url":null,"abstract":"This paper reports on an investigation into outstanding and ordinary users of two Question & Answer (Q&A) communities. Considering some learning-related perspectives such as participation, linguistic traits, social ties, influence, and focus, we found that outstanding users are (i) more likely to engage in discussions; (ii) they tend to use more sophisticated linguistic traits; (iii) their inclusion into a discussion results in longer debates; (iv) they value the diversity of their connections; (v) they participate in several topics, rather than one specialist niche. These findings allow us to use behavioral patterns to predict whether a given user is outstanding and also predict which answer gives a definitive solution for a question.","PeriodicalId":361110,"journal":{"name":"2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT)","volume":"285 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2018.00048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper reports on an investigation into outstanding and ordinary users of two Question & Answer (Q&A) communities. Considering some learning-related perspectives such as participation, linguistic traits, social ties, influence, and focus, we found that outstanding users are (i) more likely to engage in discussions; (ii) they tend to use more sophisticated linguistic traits; (iii) their inclusion into a discussion results in longer debates; (iv) they value the diversity of their connections; (v) they participate in several topics, rather than one specialist niche. These findings allow us to use behavioral patterns to predict whether a given user is outstanding and also predict which answer gives a definitive solution for a question.