An Extensible Online Environment for Teaching Data Science Concepts through Gamification

被引:0
|
作者
Anderson, Paul E. [1 ]
Turner, Clayton [1 ]
Dierksheide, Jacob [1 ]
McCauley, Renee [1 ]
机构
[1] Coll Charleston, Dept Comp Sci, Charleston, SC 29401 USA
关键词
Data mining; machine learning; big data; interdisciplinary; data science; statistics; computer science; tools;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Learn2Mine is a cloud-based environment developed to support the teaching of data science. This paper discusses the architecture of Learn2Mine, the research that guided its development, and the pilot implementation and formative assessment of its use in teaching data science. Learn2Mine was pilot-tested in Fall 2013 in an introductory data science source. At the end of the term, a survey of students concerning their experiences with the environment was conducted. Quantitative analysis of survey data showed that student opinion about the usefulness of the tool for learning course content was positive. Through open-ended comments, students provided constructive feedback on how the system might be improved. To collect expert opinion on both the didactic and usability aspects of the Learn2Mine system, a number of experts were enlisted to try the system. Experts responded to a survey regarding criteria typically expected of instructional software, such as system usability and flexibility, as well as accuracy and organization of content. Overall, the responses from experts were extremely positive. A plan for further development of the system, based on these results, is presented along with information on the developers' plans for making the environment available for use at other institutions.
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页数:8
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