<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0">
  <channel>
    <docs>http://www.rssboard.org/rss-specification</docs>
    <atom:link rel="self" type="application/rss+xml" href="https://escholarship.org/uc/socr/rss"/>
    <ttl>720</ttl>
    <title>Recent socr items</title>
    <link>https://escholarship.org/uc/socr/rss</link>
    <description>Recent eScholarship items from Statistics Online Computational Resource</description>
    <pubDate>Sun, 28 Jun 2026 04:20:21 +0000</pubDate>
    <item>
      <title>The Rise of Infocracy: Virtualized Human Interplays, Decline of Physical Interactions, and the Adaptation of People’s Social Valuation System</title>
      <link>https://escholarship.org/uc/item/2qv4g2t4</link>
      <description>Rapid technological advances, our insatiable appetite for instantaneous rewards, and the massive information overflow are impacting our everyday lives. The long term effects of the social informatification, people’s overreliance on massive amounts of dynamic digital information, remain enigmatic and poorly understood. Our ability to anticipate, prepare, react and adopt to potential negative consequences of the minute-by-minute existence in the new infoctratic world, complete virtual immersion into a digital information where most time, energy and resources are dedicated to rapid acquisition, processing and inference using large amounts of information, may have a significant long term impact on mankind. This opinion outlines the scope of our virtualized abilities to manage and interpret Exabytes of information and suggests that timely prediction and appropriate response to the information avalanche will be critical to managing the unavoidable social and cultural changes ahead.</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/2qv4g2t4</guid>
      <pubDate>Thu, 18 Jul 2013 00:00:00 +0000</pubDate>
      <author>
        <name>Dinov, Ivo D</name>
      </author>
    </item>
    <item>
      <title>2010 SOCR AP Statistics Continuing Education Workshop</title>
      <link>https://escholarship.org/uc/item/9gm867h0</link>
      <description>&lt;p&gt;The 2010 SOCR Advanced Placement (AP) training, continuing education and development workshop will extend the efforts of the  2007 SOCR/CAUSEway workshop and the  2009 SOCR Continuing Education workshop. The aims of this workshop are to demonstrate the functionality, utilization and assessment of the current SOCR resources in the AP statistics curricula. The SOCR Motto It's Online, Therefore it Exists!  clearly indicates that all of these tools, activities and materials are freely available over the Internet to the entire community. This workshop will be of most value to AP teachers and college instructors of probability and statistics classes who have interests in exploring novel technology-enhanced approaches for statistics education. The workshop will provide an interactive forum for exchange of ideas and recommendations for strategies to integrate computers, modern pedagogical techniques, the Internet and new student assessment techniques.&lt;/p&gt;</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/9gm867h0</guid>
      <pubDate>Fri, 13 Aug 2010 00:00:00 +0000</pubDate>
      <author>
        <name>Dinov, Ivo D</name>
      </author>
      <author>
        <name>Christou, Nicolas</name>
      </author>
    </item>
    <item>
      <title>It's Online, Therefore it Exists! 2009 SOCR Continuing Statistics Education Training &amp;amp; Development Workshop</title>
      <link>https://escholarship.org/uc/item/3qz125hd</link>
      <description>&lt;p&gt;This book contains instructional materials, pedagogical techniques and hands-on activities for technology-enhanced science education. These educational resources were presented at the 2009 SOCR Continuing Statistics Education Workshop entitled “It's Online, Therefore it Exists! 2009 SOCR Continuing Statistics Education Training &amp;amp; Development Workshop,” which took place at the University of California, Los Angeles, August 10-12, 2009. This book was written to provide modern pedagogical perspective into technology-enhanced blended learning and instruction. It reflects the direction of amalgamation of knowledge from multiple disciplines with recent open networking and technological advances. This trend is anticipated to accelerate in the next decade with seamless integration of open-access data, learning materials, computational resources and collaborative environments connected via language, platform and geo-politically agnostic interfaces. There are four novel features of...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/3qz125hd</guid>
      <pubDate>Sun, 9 Aug 2009 00:00:00 +0000</pubDate>
      <author>
        <name>Dinov, Ivo D</name>
      </author>
      <author>
        <name>Christou, Nicolas</name>
      </author>
    </item>
    <item>
      <title>Design and Evaluation of SOCR Tools for Simulation in Undergraduate Probability and Statistics Courses</title>
      <link>https://escholarship.org/uc/item/9443d05s</link>
      <description>&lt;p&gt;Technology-based instruction represents a new recent pedagogical paradigm that is rooted in the realization that new generations are much more comfortable with, and excited about, new technologies. The free and Internetbased NSF-funded Statistics Online Computational Resource (www.SOCR.ucla.edu) provides a number of educational materials and interactive tools for enhancing instruction in various undergraduate and graduate courses in probability and statistics using observed or computer generated data. SOCR includes class notes, practice activities, statistical calculators, interactive graphical user interfaces, computational and simulation applets, tools for data analysis and visualization. Based on the promising results from our pilot study in 2005-2006, where we saw a consistent trend of improvement in the SOCR treatment group compared to the control group, in terms of quantitative examination measures, our 2006-2007 study involves over 300 UCLA students. We use a cross-over...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/9443d05s</guid>
      <pubDate>Wed, 15 Apr 2009 00:00:00 +0000</pubDate>
      <author>
        <name>Christou, Nicolas</name>
      </author>
      <author>
        <name>Dinov, Ivo D</name>
      </author>
      <author>
        <name>Sanchez, Juana</name>
      </author>
    </item>
    <item>
      <title>Statistics Online Computational Resource for Education</title>
      <link>https://escholarship.org/uc/item/3xg3333n</link>
      <description>&lt;p&gt;The Statistics Online Computational Resource (www.SOCR.ucla.edu) provides one of the largest collections of free Internet-based resources for probability and statistics education. SOCR develops, validates and disseminates two core types of materials – instructional resources and computational libraries.&lt;/p&gt;</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/3xg3333n</guid>
      <pubDate>Wed, 15 Apr 2009 00:00:00 +0000</pubDate>
      <author>
        <name>Dinov, Ivo D</name>
      </author>
      <author>
        <name>Christou, Nicolas</name>
      </author>
    </item>
    <item>
      <title>SOCR Analyses: Implementation and Demonstration of a New Graphical Statistics Educational Toolkit</title>
      <link>https://escholarship.org/uc/item/0jx0p32c</link>
      <description>&lt;p&gt;The web-based, Java-written SOCR (Statistical Online Computational Resource) tools have been utilized in many undergraduate and graduate level statistics courses for seven years now. It has been proven that these resources can successfully improve students' learning. Being �first published online in 2005, SOCR Analyses is a somewhat new component and it concentrate on data modeling for both parametric and non-parametric data analyses with graphical model diagnostics. One of the main purposes of SOCR Analyses is to facilitate statistical learning for high school and undergraduate students. As we have already implemented SOCR Distributions and Experiments, SOCR Analyses and Charts ful�ll the rest of a standard statistics curricula. Currently, there are four core components of SOCR Analyses. Linear models included in SOCR Analyses are simple linear regression, multiple linear regression, one-way and two-way ANOVA. Tests for sample comparisons include t-test in the parametric category....</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/0jx0p32c</guid>
      <pubDate>Wed, 15 Apr 2009 00:00:00 +0000</pubDate>
      <author>
        <name>Che, Annie</name>
      </author>
      <author>
        <name>Cui, Jenny</name>
      </author>
      <author>
        <name>Dinov, Ivo D</name>
      </author>
    </item>
    <item>
      <title>Law of Large Numbers: the Theory, Applications and Technology-based Education</title>
      <link>https://escholarship.org/uc/item/8z6031jv</link>
      <description>&lt;p&gt;Modern approaches for technology-based blended education utilize a variety of recently developed novel pedagogical, computational and network resources. Such attempts employ technology to deliver integrated, dynamically-linked, interactive-content and heterogeneous learning environments, which may improve student comprehension and information retention. In this paper, we describe one such innovative effort of using technological tools to expose students in probability and statistics courses to the theory, practice and usability of the Law of Large Numbers (LLN). We base our approach on integrating pedagogical instruments with the computational libraries developed by the Statistics Online Computational Resource (www.SOCR.ucla.edu). To achieve this merger we designed a new interactive Java applet and a corresponding demonstration activity that illustrate the concept and the applications of the LLN. The LLN applet and activity have common goals – to provide graphical representation...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/8z6031jv</guid>
      <pubDate>Mon, 23 Feb 2009 00:00:00 +0000</pubDate>
      <author>
        <name>Dinov, Ivo D</name>
      </author>
      <author>
        <name>Christou, Nicolas</name>
      </author>
      <author>
        <name>Gould, Rob</name>
      </author>
    </item>
    <item>
      <title>Expectation Maximization and Mixture Modeling Tutorial</title>
      <link>https://escholarship.org/uc/item/1rb70972</link>
      <description>&lt;p&gt;This technical report describes the statistical method of expectation maximization (EM) for parameter estimation. Several of 1D, 2D, 3D and n-D examples are presented in this document. Applications of the EM method are also demonstrated in the case of mixture modeling using interactive Java applets in 1D (e.g., curve fitting), 2D (e.g., point clustering and classification) and 3D (e.g., brain tissue classification).&lt;/p&gt;</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/1rb70972</guid>
      <pubDate>Tue, 9 Dec 2008 00:00:00 +0000</pubDate>
      <author>
        <name>Dinov, Ivo D</name>
      </author>
    </item>
    <item>
      <title>2009 It's Online, Therefore it Exists! A Workshop on Technology-Enhanced Probability and Statistics Education Using SOCR Resources</title>
      <link>https://escholarship.org/uc/item/6zb6n4w4</link>
      <description>&lt;p&gt;The 2009 SOCR aims to demonstrate the functionality, utilization and assessment of the current SOCR resources in probability and statistics curricula at different levels. The SOCR tools, activities and materials are openly and anonymously available over the Internet to the entire community. This workshop will be of most value to AP teachers and college instructors of probability and statistics classes who have interests in exploring novel technology-enhanced approaches for improving statistics education. The workshop will provide an interactive forum for exchange of ideas and recommendations for strategies to integrate computers, modern pedagogical approaches, the Internet and new student assessment techniques. Registration and participation is free and all participants will be provided with free room and board for the duration of the workshop. There is a limit of the participants we can admit, but the workshop will be streamed live.  URL: http://wiki.stat.ucla.edu/socr/index.php/SO...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/6zb6n4w4</guid>
      <pubDate>Tue, 30 Sep 2008 00:00:00 +0000</pubDate>
    </item>
    <item>
      <title>Central Limit Theorem: New SOCR Applet and Demonstration Activity</title>
      <link>https://escholarship.org/uc/item/3407v845</link>
      <description>&lt;p&gt;Modern approaches for information technology based blended education utilize a variety of novel instructional, computational and network resources. Such attempts employ technology to deliver integrated, dynamically linked, interactive content and multi-faceted learning environments, which may facilitate student comprehension and information retention. In this manuscript, we describe one such innovative effort of using technological tools for improving student motivation and learning of the theory, practice and usability of the Central Limit Theorem (CLT) in probability and statistics courses. Our approach is based on harnessing the computational libraries developed by the Statistics Online Computational Resource (www.SOCR.ucla.edu) to design a new interactive Java applet and a corresponding demonstration activity that illustrate the meaning and the power of the CLT. The CLT applet and activity have clear common goals; to provide graphical representation of the CLT, to improve...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/3407v845</guid>
      <pubDate>Fri, 22 Aug 2008 00:00:00 +0000</pubDate>
    </item>
    <item>
      <title>Integrated, Multidisciplinary and TechnologyEnhanced Science Education: The Next Frontier</title>
      <link>https://escholarship.org/uc/item/49r9q7bg</link>
      <description>&lt;p&gt;Contemporary science education at all levels presents several critical pedagogical and social challenges to educators and learners alike. Among these challenges are the widening Intergenerational Information Technology (IIT) divide and the need for a comprehensive and balanced multidisciplinary training. In the past few years, it has become clear that one significant hurdle impedes the efforts to integrate information technology in the classroom – the Intergenerational IT divide. The IIT gap  eflects a different growing misalignment between providers and recipients of the science and technology educational content in terms of the expected vs. supplied, needed vs. perceived and contextual vs. abstract specialized learning. The common K12 teacher or college instructor is much less familiar with, and slower to adapt to, the new ether of communication and novel IT resources. The transfer and blending of data, research challenges and methodologies between diverse areas of science...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/49r9q7bg</guid>
      <pubDate>Wed, 19 Mar 2008 00:00:00 +0000</pubDate>
    </item>
    <item>
      <title>SOCR/CAUSE Workshop Video Stream: Day 3</title>
      <link>https://escholarship.org/uc/item/7774n9jb</link>
      <description>&lt;p&gt;This is an MPEG file that contains the Part 3 of the video stream (Day 3) of the SOCR/CAUSE 2007 Continuing Statistics Education with Technology Workshop that took place Aug. 06-08, 2007 at UCLA. The Workshop webpage is: http://wiki.stat.ucla.edu/socr/index.php/SOCR_Events_Aug2007.&lt;/p&gt;</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/7774n9jb</guid>
      <pubDate>Mon, 27 Aug 2007 00:00:00 +0000</pubDate>
    </item>
    <item>
      <title>SOCR/CAUSE Workshop Video Stream: Day 1</title>
      <link>https://escholarship.org/uc/item/3kq9770m</link>
      <description>&lt;p&gt;This is an MPEG file that contains the Part 1 of the video stream for Day 1 of the SOCR/CAUSE 2007 Continuing Statistics Education with Technology Workshop that took place Aug. 06-08, 2007 at UCLA.  The Workshop webpage is:  wiki.stat.ucla.edu/socr/index.php/SOCR_Events_Aug2007.&lt;/p&gt;</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/3kq9770m</guid>
      <pubDate>Mon, 27 Aug 2007 00:00:00 +0000</pubDate>
    </item>
    <item>
      <title>SOCR/CAUSE Workshop Video Stream: Day 2</title>
      <link>https://escholarship.org/uc/item/3793g64c</link>
      <description>&lt;p&gt;This site contains MPEG files including Part 2 of the video stream for Day 2 of the SOCR/CAUSE 2007 Continuing Statistics Education with Technology Workshop that took place Aug. 06-08, 2007 at UCLA. The Workshop webpage is: http://wiki.stat.ucla.edu/socr/index.php/SOCR_Events_Aug2007.&lt;/p&gt;</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/3793g64c</guid>
      <pubDate>Mon, 27 Aug 2007 00:00:00 +0000</pubDate>
    </item>
    <item>
      <title>Handbook on Continuing Statistics Education with Technology Workshop</title>
      <link>https://escholarship.org/uc/item/7hz6t6hk</link>
      <description>&lt;p&gt;The 2007 joint SOCR/CAUSEway continuing education workshop demonstrates the functionality, utilization and assessment of the current SOCR (http://www.SOCR.ucla.edu) and CAUSEweb (www.CAUSEweb.org) resources. The workshop and this handbook are most value to advance placement (AP) teachers and college instructors of probability and statistics classes who have interests in exploring novel IT-based approaches for enhancing statistics education. This handbook provides the complete Workshop program (http://wiki.stat.ucla.edu/socr/index.php/SOCR_Events_Aug2007) and instructional materials presented by the Workshop instructors. New strategies for integration of computers, modern pedagogical approaches, the Internet and new student assessment techniques are presented on the handbook.&lt;/p&gt;</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/7hz6t6hk</guid>
      <pubDate>Mon, 6 Aug 2007 00:00:00 +0000</pubDate>
      <author>
        <name>Dinov, Ivo D</name>
      </author>
      <author>
        <name>Christou, Nicolas</name>
      </author>
      <author>
        <name>Sanchez, Juana</name>
      </author>
    </item>
  </channel>
</rss>
