A. Barrett, Nuodi Zhang, Fengfeng Ke, Jewoong Moon, Zlatko Sokolikj
{"title":"正在进行的工作——为自闭症儿童在虚拟世界中的计算思维开发一个以证据为中心的模型","authors":"A. Barrett, Nuodi Zhang, Fengfeng Ke, Jewoong Moon, Zlatko Sokolikj","doi":"10.23919/iLRN55037.2022.9815999","DOIUrl":null,"url":null,"abstract":"This work-in-progress paper reports on the establishment of preliminary reliability for a domain-agnostic evidence-centered assessment model to measure computational thinking (CT) in an online virtual world. Preliminary reliability was established between two researchers through manually coding 800 minutes of recorded learning sessions and over 350 minutes of consultation. Participants were three adolescents diagnosed with autism spectrum disorder. Findings indicate an acceptable level of reliability between the two coders, opening the way to more extensive application of the model in future studies.","PeriodicalId":215411,"journal":{"name":"2022 8th International Conference of the Immersive Learning Research Network (iLRN)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Work-in-progress—Developing an Evidence-Centered Model for Computational Thinking in Virtual Worlds with Children with Autism\",\"authors\":\"A. Barrett, Nuodi Zhang, Fengfeng Ke, Jewoong Moon, Zlatko Sokolikj\",\"doi\":\"10.23919/iLRN55037.2022.9815999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work-in-progress paper reports on the establishment of preliminary reliability for a domain-agnostic evidence-centered assessment model to measure computational thinking (CT) in an online virtual world. Preliminary reliability was established between two researchers through manually coding 800 minutes of recorded learning sessions and over 350 minutes of consultation. Participants were three adolescents diagnosed with autism spectrum disorder. Findings indicate an acceptable level of reliability between the two coders, opening the way to more extensive application of the model in future studies.\",\"PeriodicalId\":215411,\"journal\":{\"name\":\"2022 8th International Conference of the Immersive Learning Research Network (iLRN)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 8th International Conference of the Immersive Learning Research Network (iLRN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/iLRN55037.2022.9815999\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 8th International Conference of the Immersive Learning Research Network (iLRN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/iLRN55037.2022.9815999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Work-in-progress—Developing an Evidence-Centered Model for Computational Thinking in Virtual Worlds with Children with Autism
This work-in-progress paper reports on the establishment of preliminary reliability for a domain-agnostic evidence-centered assessment model to measure computational thinking (CT) in an online virtual world. Preliminary reliability was established between two researchers through manually coding 800 minutes of recorded learning sessions and over 350 minutes of consultation. Participants were three adolescents diagnosed with autism spectrum disorder. Findings indicate an acceptable level of reliability between the two coders, opening the way to more extensive application of the model in future studies.