DSLP: A Web-based Data Science Learning Platform to Support DS Education for Non-Computing Majors
DSLP: A Web-based Data Science Learning Platform to Support DS Education for Non-Computing Majors
复制标题
DSLP：基于网络的数据科学学习平台，支持非计算专业的 DS 教育
DOI：
10.1145/3478432.3499255
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Raj, Rajendra K.
中科院分区：
文献类型：
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作者：
Liu, Xumin;Golen, Erik;Raj, Rajendra K.
演讲者将演示一个基于Web的数据科学学习平台（DSLP），该平台使编程背景有限或没有编程背景的学生可以获得数据科学教育。DSLP平台为学生提供了几个好处，例如：（1）学习基于Web的用户界面，无需编码即可执行数据科学任务，（2）探索流行的Python数据科学库（例如，Pandas、Matplotlib、Numpy或Scikit-Learn）通过实时代码示例，为高级数据科学主题做好准备，（3）熟悉现场用户指南和有用的提示，使平台易于使用，（4）在沙箱中编写自己的代码，以及（5）通过跟踪平台使用情况来监控自己的进度。该演示将介绍使用DSLP执行各种数据科学任务的步骤，参与者将能够尝试上述功能。演示还将涵盖课程材料的设计，包括使用DSLP平台的实践练习和实验室作业。典型的参与者包括那些有兴趣向高中生或非计算专业的大学生教授入门级数据科学的教师，他们很少或根本没有编程背景。参加者需要有一台可上网的笔记本电脑，才能参加动手练习讲习班。笔记本电脑应该有一个当前的网络浏览器（例如，Safari或Chrome）访问基于Web的学习平台。这个演示描述了由美国国家科学基金会在2021287奖下支持的工作。
The presenters will demo a web-based Data Science Learning Platform (DSLP) that makes data science education accessible to students with limited or no programming background. The DSLP platform offers students with several benefits such as: (1) learn a web-based user interface to perform data science tasks without requiring coding, (2) explore popular Python data science libraries (e.g., Pandas, Matplotlib, Numpy, or Scikit-Learn) through real-time code exemplification to prepare them for advanced data science topics, (3) become familiar with the on-site user guide and helpful tips to make the platform easy to use, (4) write their own code within a sandbox, and (5) monitor their own progress by tracking their platform usage. The demo will walk through the steps of using the DSLP to perform various data science tasks and the participants will be able to try out the features mentioned above. The demo will also cover the design of course materials, including hands-on practices and lab assignments using the DSLP platform. The typical participants include instructors who are interested in teaching introductory-level data science to high school students or non-computing college majors with little or no programming background. Participants need to have a laptop with access to the Internet to attend the hands-on exercises workshop. The laptop should have a current web browser (e.g., Safari or Chrome) installed to access the web-based learning platform. This demo describes work supported by the National Science Foundation under Award 2021287.