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Statistics Online Computational Resource

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Statistics Online Computational Resource (SOCR)
FoundedJanuary 5, 2002
Typenot-for-profit
Focusscientific computing, data analytics, visualization, inference, education
Coordinates42°17′03″N83°44′17″W/ 42.284199°N 83.738072°W/42.284199; -83.738072
Websitesocr.umich.edu

TheStatistics Online Computational Resource (SOCR)[1]is an online multi-institutional research and education organization. SOCR designs, validates and broadly shares a suite of online tools for statistical computing, and interactive materials for hands-on learning and teaching concepts indata science,statistical analysisandprobability theory.The SOCR resources are platform agnostic based on HTML, XML and Java, and all materials, tools and services are freely available over the Internet.

The core SOCR components include interactive distribution calculators, statistical analysis modules, tools for data modeling, graphics visualization, instructional resources, learning activities and other resources.[2][3]

All SOCR resources are licensed under either theGNU Lesser General Public LicenseorCC BY;[4]peer-reviewed, integrated internally and interoperate with independent digital libraries developed by other professional societies and scientific organizations[5]likeNSDL,Open Educational Resources,Mathematical Association of America,California Digital Library,LONI Pipeline,etc.

See also

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References

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  1. ^Dinov, Ivo D.; Sanchez, Juana; Christou, Nicolas (2008)."Pedagogical Utilization and Assessment of the Statistic Online Computational Resource in Introductory Probability and Statistics Courses".Computers and Education.50(1): 284–300.doi:10.1016/j pedu.2006.06.003.PMC2740633.PMID19750185.
  2. ^Dinov, Ivo D. (2006)."Statistics Online Computational Resource".Journal of Statistical Software.16(1): 1–16.doi:10.18637/jss.v016.i11.PMC3065362.PMID21451741.
  3. ^Christou, Nicolas; Dinov, I. (2010)."A Study of Students' Learning Styles, Discipline Attitudes and Knowledge Acquisition in Technology-Enhanced Probability and Statistics Education"(PDF).Journal of Online Learning and Teaching.6(3): 546–572.PMC3098746.PMID21603097.
  4. ^"SOCR Citations and Licenses".socr.umich.edu.Retrieved2023-04-01.
  5. ^Peer-reviewed SOCRpapersandSOCR integration in international digital libraries