Statistics Online Computational Resource
The Statistics Online Computational Resource (SOCR) is a suite of online tools and interactive aids for hands-on learning and teaching concepts in statistical analysis and probability theory developed at the University of California, Los Angeles. The SOCR resource is HTML, XML and Java based and all materials and tools are freely available over the Internet.
SOCR resources are peer-reviewed, integrated internally and acknowledged by dozens of international digital libraries, professional societies and scientific organizations like NSDL, Open Educational Resources, Mathematical Association of America and California Digital Library.
- 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 2740633. PMID 19750185.
- 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.
- Peer-reviewed SOCR papers and SOCR integration in international digital libraries