{"title":"矩阵会做什么?:K-12人工智能学习环境和学习者界面互动的系统综述","authors":"R. Moore, Shiyan Jiang, Brian Abramowitz","doi":"10.1080/15391523.2022.2148785","DOIUrl":null,"url":null,"abstract":"Abstract This systematic review examines the empirical literature published between 2014 and 2021 that situates artificial intelligence within K-12 educational contexts. Our review synthesizes 12 articles and highlights artificial intelligence’s instructional contexts and applications in K-12 learning environments. We focused our synthesis on the learning contexts and the learner-interface interactions. Our findings highlight that most of intelligent systems are being deployed in math or informal settings. Also, there are opportunities for more collaboration to facilitate teaching and learning in domain-specific areas. Additionally, researchers can explore how to implement more collaborative learning opportunities between intelligent tutors and learners. We conclude with a discussion of the reciprocal nature of this technology integration.","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":"55 1","pages":"7 - 20"},"PeriodicalIF":5.1000,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"What would the matrix do?: a systematic review of K-12 AI learning contexts and learner-interface interactions\",\"authors\":\"R. Moore, Shiyan Jiang, Brian Abramowitz\",\"doi\":\"10.1080/15391523.2022.2148785\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This systematic review examines the empirical literature published between 2014 and 2021 that situates artificial intelligence within K-12 educational contexts. Our review synthesizes 12 articles and highlights artificial intelligence’s instructional contexts and applications in K-12 learning environments. We focused our synthesis on the learning contexts and the learner-interface interactions. Our findings highlight that most of intelligent systems are being deployed in math or informal settings. Also, there are opportunities for more collaboration to facilitate teaching and learning in domain-specific areas. Additionally, researchers can explore how to implement more collaborative learning opportunities between intelligent tutors and learners. We conclude with a discussion of the reciprocal nature of this technology integration.\",\"PeriodicalId\":47444,\"journal\":{\"name\":\"Journal of Research on Technology in Education\",\"volume\":\"55 1\",\"pages\":\"7 - 20\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2022-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Research on Technology in Education\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1080/15391523.2022.2148785\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Research on Technology in Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/15391523.2022.2148785","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
What would the matrix do?: a systematic review of K-12 AI learning contexts and learner-interface interactions
Abstract This systematic review examines the empirical literature published between 2014 and 2021 that situates artificial intelligence within K-12 educational contexts. Our review synthesizes 12 articles and highlights artificial intelligence’s instructional contexts and applications in K-12 learning environments. We focused our synthesis on the learning contexts and the learner-interface interactions. Our findings highlight that most of intelligent systems are being deployed in math or informal settings. Also, there are opportunities for more collaboration to facilitate teaching and learning in domain-specific areas. Additionally, researchers can explore how to implement more collaborative learning opportunities between intelligent tutors and learners. We conclude with a discussion of the reciprocal nature of this technology integration.
期刊介绍:
The Journal of Research on Technology in Education (JRTE) is a premier source for high-quality, peer-reviewed research that defines the state of the art, and future horizons, of teaching and learning with technology. The terms "education" and "technology" are broadly defined. Education is inclusive of formal educational environments ranging from PK-12 to higher education, and informal learning environments, such as museums, community centers, and after-school programs. Technology refers to both software and hardware innovations, and more broadly, the application of technological processes to education.