Devansh P. Shah, Nikhil M. Jagtap, Shloka S. Shah, Anant V. Nimkar
{"title":"慢学习者的间隔重复","authors":"Devansh P. Shah, Nikhil M. Jagtap, Shloka S. Shah, Anant V. Nimkar","doi":"10.1109/IBSSC51096.2020.9332189","DOIUrl":null,"url":null,"abstract":"Spaced Repetition has proven to be an effective way in learning and memorizing complex topics. An algorithm ‘Spaced Repetition for Slow Learners’ (SRSL) is described to schedule repetitions which eventually adapts to the capacity of the learner. SRSL computes the score of learners for a particular assessment based on factors such as response time, difficulty and dependency of questions. The exponential forgetting curve model is the memory model assumed by SRSL. Based on this algorithm, a model has been proposed with experimental analysis of the same. Further, comparison of SRSL and the Leitner System demonstrates the adaptability of the algorithm to the learning curve of the learner.","PeriodicalId":432093,"journal":{"name":"2020 IEEE Bombay Section Signature Conference (IBSSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Spaced Repetition for Slow Learners\",\"authors\":\"Devansh P. Shah, Nikhil M. Jagtap, Shloka S. Shah, Anant V. Nimkar\",\"doi\":\"10.1109/IBSSC51096.2020.9332189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spaced Repetition has proven to be an effective way in learning and memorizing complex topics. An algorithm ‘Spaced Repetition for Slow Learners’ (SRSL) is described to schedule repetitions which eventually adapts to the capacity of the learner. SRSL computes the score of learners for a particular assessment based on factors such as response time, difficulty and dependency of questions. The exponential forgetting curve model is the memory model assumed by SRSL. Based on this algorithm, a model has been proposed with experimental analysis of the same. Further, comparison of SRSL and the Leitner System demonstrates the adaptability of the algorithm to the learning curve of the learner.\",\"PeriodicalId\":432093,\"journal\":{\"name\":\"2020 IEEE Bombay Section Signature Conference (IBSSC)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Bombay Section Signature Conference (IBSSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IBSSC51096.2020.9332189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Bombay Section Signature Conference (IBSSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IBSSC51096.2020.9332189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spaced Repetition has proven to be an effective way in learning and memorizing complex topics. An algorithm ‘Spaced Repetition for Slow Learners’ (SRSL) is described to schedule repetitions which eventually adapts to the capacity of the learner. SRSL computes the score of learners for a particular assessment based on factors such as response time, difficulty and dependency of questions. The exponential forgetting curve model is the memory model assumed by SRSL. Based on this algorithm, a model has been proposed with experimental analysis of the same. Further, comparison of SRSL and the Leitner System demonstrates the adaptability of the algorithm to the learning curve of the learner.