{"title":"How gaming, artificial intelligence and big data is changing education","authors":"Teo Peihan Janine","doi":"10.21512/jggag.v2i2.7199","DOIUrl":null,"url":null,"abstract":"With 263 million children and youth out of school, there is a need for a highly scalable way to provide quality education to the underprivileged. Solve Education!(SE!)’s solution is combining an addictive game with the “Learning-by-Doing” Principle. Leveraging artificial intelligence and big data analysis, SE! explores the possibility of combining multi-user online strategy games with casual puzzle games to increase user retention rates, and in the process educating the users effectively over a longer period of time. Game mechanics are used to increase user retention by boosting motivation, while big data analysis allows SE! to understand the users’ in-game behavior and how they learn best. Artificial intelligence helps to deliver the right content to the user at the right time, optimizing the learning process, and enabling in-game adaption to the users’ learning needs ","PeriodicalId":168245,"journal":{"name":"Journal of Games, Game Art, and Gamification","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Games, Game Art, and Gamification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21512/jggag.v2i2.7199","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
With 263 million children and youth out of school, there is a need for a highly scalable way to provide quality education to the underprivileged. Solve Education!(SE!)’s solution is combining an addictive game with the “Learning-by-Doing” Principle. Leveraging artificial intelligence and big data analysis, SE! explores the possibility of combining multi-user online strategy games with casual puzzle games to increase user retention rates, and in the process educating the users effectively over a longer period of time. Game mechanics are used to increase user retention by boosting motivation, while big data analysis allows SE! to understand the users’ in-game behavior and how they learn best. Artificial intelligence helps to deliver the right content to the user at the right time, optimizing the learning process, and enabling in-game adaption to the users’ learning needs