Milo: A visual programming environment for Data Science Education

A. Rao, Ayush Bihani, Mydhili K. Nair
{"title":"Milo: A visual programming environment for Data Science Education","authors":"A. Rao, Ayush Bihani, Mydhili K. Nair","doi":"10.1109/VLHCC.2018.8506504","DOIUrl":null,"url":null,"abstract":"Most courses on Data Science offered at universities or online require students to have familiarity with at least one programming language. In this paper, we present, “Milo”, a web-based visual programming environment for Data Science Education, designed as a pedagogical tool that can be used by students without prior-programming experience. To that end, Milo uses graphical blocks as abstractions of language specific implementations of Data Science and Machine Learning(ML) concepts along with creation of interactive visualizations. Using block definitions created by a user, Milo generates equivalent source code in JavaScript to run entirely in the browser. Based on a preliminary user study with a focus group of undergraduate computer science students, Milo succeeds as an effective tool for novice learners in the field of Data Science.","PeriodicalId":444336,"journal":{"name":"2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLHCC.2018.8506504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26

Abstract

Most courses on Data Science offered at universities or online require students to have familiarity with at least one programming language. In this paper, we present, “Milo”, a web-based visual programming environment for Data Science Education, designed as a pedagogical tool that can be used by students without prior-programming experience. To that end, Milo uses graphical blocks as abstractions of language specific implementations of Data Science and Machine Learning(ML) concepts along with creation of interactive visualizations. Using block definitions created by a user, Milo generates equivalent source code in JavaScript to run entirely in the browser. Based on a preliminary user study with a focus group of undergraduate computer science students, Milo succeeds as an effective tool for novice learners in the field of Data Science.
用于数据科学教育的可视化编程环境
大学或在线提供的大多数数据科学课程都要求学生熟悉至少一种编程语言。在本文中,我们介绍了“Milo”,一个基于web的可视化编程环境,用于数据科学教育,被设计为一个教学工具,可以被没有编程经验的学生使用。为此,Milo使用图形块作为数据科学和机器学习(ML)概念的特定语言实现的抽象,以及交互式可视化的创建。使用用户创建的块定义,Milo在JavaScript中生成完全在浏览器中运行的等效源代码。基于对一群计算机科学本科生的初步用户研究,Milo成功地成为数据科学领域新手学习者的有效工具。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信