{"title":"SAGA: Curricula Optimization","authors":"A. Lefranc, David A. Joyner","doi":"10.1145/3386527.3406737","DOIUrl":null,"url":null,"abstract":"This paper presents two approaches using Simulated Annealing and a genetic algorithm to create optimal curricula. The method generates a customized course selection and schedule for individual students enrolled in a large online graduate program in computer science offered by a major public research institution in the United States.","PeriodicalId":20608,"journal":{"name":"Proceedings of the Seventh ACM Conference on Learning @ Scale","volume":"10 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Seventh ACM Conference on Learning @ Scale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386527.3406737","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents two approaches using Simulated Annealing and a genetic algorithm to create optimal curricula. The method generates a customized course selection and schedule for individual students enrolled in a large online graduate program in computer science offered by a major public research institution in the United States.
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