Data Driven Learning activities within a Digital Learning Environment to study the specialized language of Mathematics

E. Corino, C. Fissore, M. Marchisio
{"title":"Data Driven Learning activities within a Digital Learning Environment to study the specialized language of Mathematics","authors":"E. Corino, C. Fissore, M. Marchisio","doi":"10.1109/COMPSAC54236.2022.00032","DOIUrl":null,"url":null,"abstract":"In teaching it has become increasingly important to use didactic approaches that see students active and protagonists of their own learning. These approaches can often be supported by technologies, which also enable students to acquire digital skills and provide them with immediate and interactive feedback. In this paper we present recent research activities characterized by Data Driven Learning methodologies within a Digital Learning Environment integrated with an automatic formative assessment system to propose activities on the specialized language of Mathematics. In fact, Mathematics has always been one of the school disciplines in which students of all grades encounter the greatest difficulties. Numerous studies in Mathematics education have shown that the causes of disciplinary learning difficulties are the acquisition, understanding and management of one's language for specific purposes. The research activity involved 4 classes of two Italian secondary schools for a total of 80 students of grade 11 and their teachers. In this paper we study the impact that this type of activity has had on students, analyzing the students' responses to the final satisfaction questionnaire.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC54236.2022.00032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In teaching it has become increasingly important to use didactic approaches that see students active and protagonists of their own learning. These approaches can often be supported by technologies, which also enable students to acquire digital skills and provide them with immediate and interactive feedback. In this paper we present recent research activities characterized by Data Driven Learning methodologies within a Digital Learning Environment integrated with an automatic formative assessment system to propose activities on the specialized language of Mathematics. In fact, Mathematics has always been one of the school disciplines in which students of all grades encounter the greatest difficulties. Numerous studies in Mathematics education have shown that the causes of disciplinary learning difficulties are the acquisition, understanding and management of one's language for specific purposes. The research activity involved 4 classes of two Italian secondary schools for a total of 80 students of grade 11 and their teachers. In this paper we study the impact that this type of activity has had on students, analyzing the students' responses to the final satisfaction questionnaire.
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
在数字学习环境中进行数据驱动的学习活动,以学习数学专业语言
在教学中,使用教学方法让学生成为自己学习的主角变得越来越重要。这些方法通常可以得到技术的支持,这也使学生能够获得数字技能,并为他们提供即时和互动的反馈。在本文中,我们介绍了最近在数字学习环境中以数据驱动学习方法为特征的研究活动,该环境与自动形成性评估系统相结合,以提出有关数学专业语言的活动。事实上,数学一直是所有年级的学生遇到最大困难的学校学科之一。数学教育的大量研究表明,学科学习困难的原因是为了特定目的而习得、理解和管理语言。本次研究活动涉及意大利两所中学的4个班级,共80名11年级学生和他们的老师。在本文中,我们研究了这类活动对学生的影响,分析了学生对最终满意度问卷的反应。
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
Category-Aware App Permission Recommendation based on Sparse Linear Model Early Detection of At-Risk Students in a Calculus Course Apple-YOLO: A Novel Mobile Terminal Detector Based on YOLOv5 for Early Apple Leaf Diseases A Safe Route Recommendation Method Based on Driver Characteristics from Telematics Data GSDNet: An Anti-interference Cochlea Segmentation Model Based on GAN
×
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