{"title":"Self-Evolving Adaptive Learning for Personalized Education","authors":"Junhua Liu, Lionell Loh, Ernest Ng, Yijia Chen, K. Wood, Kwan Hui Lim","doi":"10.1145/3406865.3418326","DOIUrl":null,"url":null,"abstract":"Primary and secondary education is a crucial stage to build a strong foundation before diving deep into specialised subjects in colleges and universities. To excel in the current education system, students are required to have a deep understanding of knowledge according to standardized curriculums and syllabus, and exam-related problem solving skills. In current school settings, this learning normally occurs in large classes of 30-40 students per class. Such a \"one size fits all'' approach may not be effective, as different students proceed on their learning in different ways and pace. To address this problem, we propose the Self-Evolving Adaptive Learning (SEAL) system for personalized education at scale.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3406865.3418326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

Primary and secondary education is a crucial stage to build a strong foundation before diving deep into specialised subjects in colleges and universities. To excel in the current education system, students are required to have a deep understanding of knowledge according to standardized curriculums and syllabus, and exam-related problem solving skills. In current school settings, this learning normally occurs in large classes of 30-40 students per class. Such a "one size fits all'' approach may not be effective, as different students proceed on their learning in different ways and pace. To address this problem, we propose the Self-Evolving Adaptive Learning (SEAL) system for personalized education at scale.
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个性化教育的自进化适应学习
小学和中学教育是在进入大学深入学习专业课程之前建立坚实基础的关键阶段。要想在当前的教育体系中脱颖而出,学生必须根据标准化的课程和教学大纲对知识有深刻的理解,并具备与考试相关的解决问题的能力。在目前的学校环境中,这种学习通常发生在每班30-40名学生的大班中。这种“一刀切”的方法可能并不有效,因为不同的学生以不同的方式和速度进行学习。为了解决这个问题,我们提出了用于大规模个性化教育的自进化适应学习(SEAL)系统。
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