{"title":"学习者真的有不同的偏好吗?","authors":"Sylvio Rüdian, Niels Pinkwart","doi":"10.1109/ICALT55010.2022.00017","DOIUrl":null,"url":null,"abstract":"Online courses have very high dropout rates worldwide. Learners are demotivated based on bad learning experiences. While some factors of online courses could be optimized for all learners, e.g. the quality, it is essential to note that a one-size-fits-all environment is not existing. Some learners are comfortable with certain methods while others may not. In the paper, we identified five learner preferences that can be used to adapt teaching methods in online courses. We provide a 10-item questionnaire, validate it based on exploratory factor analysis, and examine whether learners differ in preferences.","PeriodicalId":221464,"journal":{"name":"2022 International Conference on Advanced Learning Technologies (ICALT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Do learners really have different preferences?\",\"authors\":\"Sylvio Rüdian, Niels Pinkwart\",\"doi\":\"10.1109/ICALT55010.2022.00017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Online courses have very high dropout rates worldwide. Learners are demotivated based on bad learning experiences. While some factors of online courses could be optimized for all learners, e.g. the quality, it is essential to note that a one-size-fits-all environment is not existing. Some learners are comfortable with certain methods while others may not. In the paper, we identified five learner preferences that can be used to adapt teaching methods in online courses. We provide a 10-item questionnaire, validate it based on exploratory factor analysis, and examine whether learners differ in preferences.\",\"PeriodicalId\":221464,\"journal\":{\"name\":\"2022 International Conference on Advanced Learning Technologies (ICALT)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Advanced Learning Technologies (ICALT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALT55010.2022.00017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Advanced Learning Technologies (ICALT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT55010.2022.00017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online courses have very high dropout rates worldwide. Learners are demotivated based on bad learning experiences. While some factors of online courses could be optimized for all learners, e.g. the quality, it is essential to note that a one-size-fits-all environment is not existing. Some learners are comfortable with certain methods while others may not. In the paper, we identified five learner preferences that can be used to adapt teaching methods in online courses. We provide a 10-item questionnaire, validate it based on exploratory factor analysis, and examine whether learners differ in preferences.
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