{"title":"JARET演示:用于目标回顾和时间管理的人工智能Web应用程序","authors":"Andrew Schwabe","doi":"10.1145/3386527.3405954","DOIUrl":null,"url":null,"abstract":"This demo will present the implementation of an A.I. powered web application designed to assist students with creation of a homework and study schedule. The intent of this project is to use key principles from Self-Regulated Learning and Cognitive Load Theory to translate the large, abstract problem of \"creating a study and homework schedule from scratch\" into a structured, repeatable set of review tasks. The system then uses a constraint satisfaction AI agent to recommend a weekly schedule of activities that supports the student to achieve the specified goals.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Demo of JARET: A.I. Powered Web App for Goal Review and Time Management\",\"authors\":\"Andrew Schwabe\",\"doi\":\"10.1145/3386527.3405954\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This demo will present the implementation of an A.I. powered web application designed to assist students with creation of a homework and study schedule. The intent of this project is to use key principles from Self-Regulated Learning and Cognitive Load Theory to translate the large, abstract problem of \\\"creating a study and homework schedule from scratch\\\" into a structured, repeatable set of review tasks. The system then uses a constraint satisfaction AI agent to recommend a weekly schedule of activities that supports the student to achieve the specified goals.\",\"PeriodicalId\":20608,\"journal\":{\"name\":\"Proceedings of the Seventh ACM Conference on Learning @ Scale\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Seventh ACM Conference on Learning @ Scale\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3386527.3405954\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Seventh ACM Conference on Learning @ Scale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386527.3405954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Demo of JARET: A.I. Powered Web App for Goal Review and Time Management
This demo will present the implementation of an A.I. powered web application designed to assist students with creation of a homework and study schedule. The intent of this project is to use key principles from Self-Regulated Learning and Cognitive Load Theory to translate the large, abstract problem of "creating a study and homework schedule from scratch" into a structured, repeatable set of review tasks. The system then uses a constraint satisfaction AI agent to recommend a weekly schedule of activities that supports the student to achieve the specified goals.
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