Statistics Online Computational Resource
|Motto||It's Online, therefore it exists!|
|Founded||January 5, 2002|
|Focus||scientific computing, data analytics, visualization, inference, education|
The Statistics Online Computational Resource (SOCR) 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 in data science, statistical analysis and probability 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 visualizaiton, instructional resources, learning activities and other resources .
All SOCR resources are LGPL/CC-BY licensed, peer-reviewed, integrated internally and interoperate with independent digital libraries developed by other professional societies and scientific organizations like NSDL, Open Educational Resources, Mathematical Association of America, California Digital Library, LONI Pipeline, etc.
- 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.compedu.2006.06.003. PMC . PMID 19750185. External link in
- Dinov, Ivo D. (2006). "Statistics Online Computational Resource". Journal of Statistical Software. 16 (1): 1–16.
- 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. External link in
- Peer-reviewed SOCR papers and SOCR integration in international digital libraries