The Data Mine: Enabling Data Science Across the Curriculum
In this article, we describe a large-scale living learning community (LLC) for undergraduate students of any major or background. Our students are united by a desire to learn data science skills and to apply those skills in a specific academic discipline or a corporate partner project. We provide ex...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-01-01
|
| Series: | Journal of Statistics and Data Science Education |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10691898.2020.1848484 |
| _version_ | 1818751607451418624 |
|---|---|
| author | Ellen Gundlach Mark Daniel Ward |
| author_facet | Ellen Gundlach Mark Daniel Ward |
| author_sort | Ellen Gundlach |
| collection | DOAJ |
| description | In this article, we describe a large-scale living learning community (LLC) for undergraduate students of any major or background. Our students are united by a desire to learn data science skills and to apply those skills in a specific academic discipline or a corporate partner project. We provide explanations of why an LLC is beneficial; the curriculum (motivated by Nolan and Temple Lang); resources required to coordinate such a community; lessons learned from the first year at a large scale; plans for an assessment and a shared resource repository; and plans for an even more accessible, differentiated learning environment in the future. |
| first_indexed | 2024-12-18T04:38:15Z |
| format | Article |
| id | doaj.art-20a0fb8b8111400e9966aea1ccbcf214 |
| institution | Directory Open Access Journal |
| issn | 2693-9169 |
| language | English |
| last_indexed | 2024-12-18T04:38:15Z |
| publishDate | 2021-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Statistics and Data Science Education |
| spelling | doaj.art-20a0fb8b8111400e9966aea1ccbcf2142022-12-21T21:20:48ZengTaylor & Francis GroupJournal of Statistics and Data Science Education2693-91692021-01-0129S1S74S8210.1080/10691898.2020.18484841848484The Data Mine: Enabling Data Science Across the CurriculumEllen Gundlach0Mark Daniel Ward1The Data Mine, Purdue UniversityThe Data Mine, Purdue UniversityIn this article, we describe a large-scale living learning community (LLC) for undergraduate students of any major or background. Our students are united by a desire to learn data science skills and to apply those skills in a specific academic discipline or a corporate partner project. We provide explanations of why an LLC is beneficial; the curriculum (motivated by Nolan and Temple Lang); resources required to coordinate such a community; lessons learned from the first year at a large scale; plans for an assessment and a shared resource repository; and plans for an even more accessible, differentiated learning environment in the future.http://dx.doi.org/10.1080/10691898.2020.1848484data scienceintroductory statisticslearning communitiesmassive datasetsstatistical computingundergraduate curriculum |
| spellingShingle | Ellen Gundlach Mark Daniel Ward The Data Mine: Enabling Data Science Across the Curriculum Journal of Statistics and Data Science Education data science introductory statistics learning communities massive datasets statistical computing undergraduate curriculum |
| title | The Data Mine: Enabling Data Science Across the Curriculum |
| title_full | The Data Mine: Enabling Data Science Across the Curriculum |
| title_fullStr | The Data Mine: Enabling Data Science Across the Curriculum |
| title_full_unstemmed | The Data Mine: Enabling Data Science Across the Curriculum |
| title_short | The Data Mine: Enabling Data Science Across the Curriculum |
| title_sort | data mine enabling data science across the curriculum |
| topic | data science introductory statistics learning communities massive datasets statistical computing undergraduate curriculum |
| url | http://dx.doi.org/10.1080/10691898.2020.1848484 |
| work_keys_str_mv | AT ellengundlach thedatamineenablingdatascienceacrossthecurriculum AT markdanielward thedatamineenablingdatascienceacrossthecurriculum AT ellengundlach datamineenablingdatascienceacrossthecurriculum AT markdanielward datamineenablingdatascienceacrossthecurriculum |