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ERIC Number: EJ1276928
Record Type: Journal
Publication Date: 2020
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1059-308X
EISSN: N/A
Collaborative Big Data Review for Educational Impact
Williams, Tamara; Cheng, Xiaoyue; Majumder, Mahbubul; Hastings, Matt; Suh, Hongwook; Dash, Kunal; Yeo, Jian Ju
School Community Journal, v30 n2 p93-104 2020
Big data is a unique field of study which requires specialized analytics. The field of education has a lot of data: individual student test scores, attendance, behavior, and demographic data are just some of the regularly collected information year after year. Individual student data across an entire state over several years quickly becomes big data. Collaboration between education experts and big data experts is needed in order to maximize the use and impact of educational big data. The goal of big data collaboration is to improve systems and schools in order to serve students most effectively. The purpose of this article is to offer a new conceptual framework titled Prepare, Do, Share as a protocol of collaborative big data review and to share the experience of one such collaboration as a replicable example.
Academic Development Institute. 121 North Kickapoo Street, Lincoln, IL 62656. Tel: 1-800-759-1495; Web site: http://www.schoolcommunitynetwork.org/
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A