{"title":"SAGA:课程优化","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":"{\"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}","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}
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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