Brent Morgan, Andrew J. Hampton, Zhiqiang Cai, Andrew Tackett, Lijia Wang, Xiangen Hu, A. Graesser
{"title":"Electronixtutor integrates multiple learning resources to teach electronics on the web","authors":"Brent Morgan, Andrew J. Hampton, Zhiqiang Cai, Andrew Tackett, Lijia Wang, Xiangen Hu, A. Graesser","doi":"10.1145/3231644.3231691","DOIUrl":null,"url":null,"abstract":"ElectronixTutor is a new Intelligent Tutoring System for electronics that integrates multiple intelligent learning resources, including AutoTutor, Dragoon, LearnForm, ASSISTments, and BEETLE-II, as well as Point & Query hotspots on diagrams and numerous text documents on the subject of electronics. ElectronixTutor's student model contains a set of electronics knowledge components (e.g., \"transistor behavior\"), each of which are taught by multiple learning resources. ElectronixTutor also features a recommender system, which suggests topics and resources for the student to try based on the student model. ElectronixTutor uses a Moodle interface, and is accessible to anyone via a web browser. Currently, ElectronixTutor is being tested by undergraduate electronics students before supplementing Naval Apprentice Technician Training coursework in the fall of 2018.","PeriodicalId":20634,"journal":{"name":"Proceedings of the Fifth Annual ACM Conference on Learning at Scale","volume":"42 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth Annual ACM Conference on Learning at Scale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3231644.3231691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
ElectronixTutor is a new Intelligent Tutoring System for electronics that integrates multiple intelligent learning resources, including AutoTutor, Dragoon, LearnForm, ASSISTments, and BEETLE-II, as well as Point & Query hotspots on diagrams and numerous text documents on the subject of electronics. ElectronixTutor's student model contains a set of electronics knowledge components (e.g., "transistor behavior"), each of which are taught by multiple learning resources. ElectronixTutor also features a recommender system, which suggests topics and resources for the student to try based on the student model. ElectronixTutor uses a Moodle interface, and is accessible to anyone via a web browser. Currently, ElectronixTutor is being tested by undergraduate electronics students before supplementing Naval Apprentice Technician Training coursework in the fall of 2018.
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