Generating adaptive and personalized language learning online courses in Moodle with individual learning paths using templates

Sylvio Rüdian, Niels Pinkwart
{"title":"Generating adaptive and personalized language learning online courses in Moodle with individual learning paths using templates","authors":"Sylvio Rüdian, Niels Pinkwart","doi":"10.1109/ICALT52272.2021.00024","DOIUrl":null,"url":null,"abstract":"The adaption of online courses according to the user knowledge is not new, but its application is limited. The major problem is the lack of missing open-source technology to personalize online courses with individual learning paths on a large scale. In this paper, we introduce our open-source framework that allows us to generate adaptive online courses in Moodle. We focus on language learning as an example implementation. Courses are generated based on a knowledge base and several XML templates that allow the generation of interactive tasks using H5P. The novelty of our approach is the application and combination of existing Moodle libraries to generate individual online courses, although they were not designed for that purpose. It is the first working example that supports individual learning paths on a large scale in Moodle. Besides, we provide technical details on how to overcome limiting problems by using Moodle as an LMS.","PeriodicalId":170895,"journal":{"name":"2021 International Conference on Advanced Learning Technologies (ICALT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Advanced Learning Technologies (ICALT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT52272.2021.00024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

The adaption of online courses according to the user knowledge is not new, but its application is limited. The major problem is the lack of missing open-source technology to personalize online courses with individual learning paths on a large scale. In this paper, we introduce our open-source framework that allows us to generate adaptive online courses in Moodle. We focus on language learning as an example implementation. Courses are generated based on a knowledge base and several XML templates that allow the generation of interactive tasks using H5P. The novelty of our approach is the application and combination of existing Moodle libraries to generate individual online courses, although they were not designed for that purpose. It is the first working example that supports individual learning paths on a large scale in Moodle. Besides, we provide technical details on how to overcome limiting problems by using Moodle as an LMS.
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
在Moodle中使用模板生成具有个人学习路径的自适应和个性化语言学习在线课程
根据用户的知识对在线课程进行调整并不是什么新鲜事,但其应用范围有限。主要的问题是缺少开源技术来大规模地个性化在线课程,提供个性化的学习路径。在本文中,我们介绍了我们的开源框架,它允许我们在Moodle中生成自适应在线课程。我们将重点放在语言学习上,作为一个示例实现。课程是基于知识库和几个XML模板生成的,这些模板允许使用H5P生成交互式任务。我们方法的新颖之处在于应用和组合现有Moodle库来生成个人在线课程,尽管它们不是为此目的而设计的。这是第一个在Moodle中大规模支持个人学习路径的工作示例。此外,我们还提供了如何通过使用Moodle作为LMS来克服限制性问题的技术细节。
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
自引率
0.00%
发文量
0
期刊最新文献
Micro-Prompt: A Strategy for Designing Pedagogically Effective Assignment Free Micro-Lectures for Online Education Systems An Exploratory Study to Identify Learners' Programming Behavior Interactions Automatic and Intelligent Recommendations to Support Students’ Self-Regulation VEA: A Virtual Environment for Animal experimentation Teachers’ Information and Communication Technology (ICT) Assessment Tools: A Review
×
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