Michael S. Horn, C. Brady, A. Hjorth, Aditi Wagh, U. Wilensky
{"title":"Frog pond: a codefirst learning environment on evolution and natural selection","authors":"Michael S. Horn, C. Brady, A. Hjorth, Aditi Wagh, U. Wilensky","doi":"10.1145/2593968.2610491","DOIUrl":null,"url":null,"abstract":"Understanding processes of evolution and natural selection is both important and challenging for learners. We describe a \"codefirst\" learning environment called Frog Pond designed to introduce natural selection to elementary and middle school aged learners. Learners use NetTango, a blocksbased programming interface to NetLogo, to control frogs inhabiting a lily pond. Simple programs result in changes to the frog population over successive generations. Our approach foregrounds computational thinking as a bridge to understanding evolution as an emergent phenomenon.","PeriodicalId":260552,"journal":{"name":"Proceedings of the 2014 conference on Interaction design and children","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 conference on Interaction design and children","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2593968.2610491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29
Abstract
Understanding processes of evolution and natural selection is both important and challenging for learners. We describe a "codefirst" learning environment called Frog Pond designed to introduce natural selection to elementary and middle school aged learners. Learners use NetTango, a blocksbased programming interface to NetLogo, to control frogs inhabiting a lily pond. Simple programs result in changes to the frog population over successive generations. Our approach foregrounds computational thinking as a bridge to understanding evolution as an emergent phenomenon.