ERIC Number: EJ1351974
Record Type: Journal
Publication Date: 2021
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2693-9169
The Data Mine: Enabling Data Science across the Curriculum
Journal of Statistics and Data Science Education, v29 suppl 1 pS74-S82 2021
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.
Descriptors: Statistics Education, Curriculum Development, Teaching Methods, Data Analysis, Undergraduate Students, Living Learning Centers, Futures (of Society), Educational Benefits, Evaluation Methods, Educational Resources, Student Characteristics, Introductory Courses
Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF); National Institute of Food and Agriculture (NIFA) (USDA)
Authoring Institution: N/A
Identifiers - Location: Indiana
Grant or Contract Numbers: DMS1246818; CCF0939370; OAC2005632; 20196703229077; 89591