Personalized E-Learning: Relation Between Felder– Silverman Model and Academic Performance

IF 0.5 Q4 COMPUTER SCIENCE, THEORY & METHODS Applied Computer Systems Pub Date : 2019-05-01 DOI:10.2478/acss-2019-0004
D. Zagulova, Viktorija Boltunova, Sabina Katalnikova, Natalya Prokofyeva, K. Synytsya
{"title":"Personalized E-Learning: Relation Between Felder– Silverman Model and Academic Performance","authors":"D. Zagulova, Viktorija Boltunova, Sabina Katalnikova, Natalya Prokofyeva, K. Synytsya","doi":"10.2478/acss-2019-0004","DOIUrl":null,"url":null,"abstract":"Abstract The growing demands for the training of students and the need for continuous improvement of the quality of university education make it necessary to find and apply more effective educational technologies and practices based on the correlation of teaching with the student’s profile and his/her individual Learning Style. This article discusses the topic of relevance of personalized e-learning. It describes Learning Styles and looks at the Felder– Silverman model in more detail. The article contains the results of student surveys on the basis of which the interrelation between the Index of Learning Styles and academic performance is analysed. The relation between performance and learning styles according to the Felder-Silverman Learning Style Model is shown: in some specialties, students with sequential learning style have higher academic performance than students with global learning style, as well as students with mild learning style preferences on the Activist/Reflector dimension.","PeriodicalId":41960,"journal":{"name":"Applied Computer Systems","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Computer Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/acss-2019-0004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 9

Abstract

Abstract The growing demands for the training of students and the need for continuous improvement of the quality of university education make it necessary to find and apply more effective educational technologies and practices based on the correlation of teaching with the student’s profile and his/her individual Learning Style. This article discusses the topic of relevance of personalized e-learning. It describes Learning Styles and looks at the Felder– Silverman model in more detail. The article contains the results of student surveys on the basis of which the interrelation between the Index of Learning Styles and academic performance is analysed. The relation between performance and learning styles according to the Felder-Silverman Learning Style Model is shown: in some specialties, students with sequential learning style have higher academic performance than students with global learning style, as well as students with mild learning style preferences on the Activist/Reflector dimension.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
个性化网络学习:费尔德-西尔弗曼模型与学习成绩的关系
摘要学生培养的需求日益增长,大学教育质量不断提高的要求,要求在教学与学生的特点和个人学习风格相关联的基础上,寻找和应用更有效的教育技术和实践。本文讨论了个性化电子学习的相关主题。它描述了学习风格,并更详细地研究了费尔德-西尔弗曼模型。本文在学生调查结果的基础上,分析了学习风格指数与学习成绩之间的相互关系。根据费尔德-西尔弗曼学习风格模型,学习成绩与学习风格之间的关系显示:在某些专业中,顺序学习风格的学生的学习成绩高于全局学习风格的学生,在积极/反射维度上,学习风格偏好温和的学生的学习成绩也高于全局学习风格的学生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Applied Computer Systems
Applied Computer Systems COMPUTER SCIENCE, THEORY & METHODS-
自引率
10.00%
发文量
9
审稿时长
30 weeks
期刊最新文献
Multimodal Biometric System Based on the Fusion in Score of Fingerprint and Online Handwritten Signature Multichannel Approach for Sentiment Analysis Using Stack of Neural Network with Lexicon Based Padding and Attention Mechanism BRS-based Model for the Specification of Multi-view Point Ontology Empirical Analysis of Supervised and Unsupervised Machine Learning Algorithms with Aspect-Based Sentiment Analysis Approximate Nearest Neighbour-based Index Tree: A Case Study for Instrumental Music Search
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1