Milo: A visual programming environment for Data Science Education

A. Rao, Ayush Bihani, Mydhili K. Nair
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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.
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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。
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