Literature DB >> 21603584

Law of Large Numbers: the Theory, Applications and Technology-based Education.

Ivo D Dinov1, Nicolas Christou, Robert Gould.   

Abstract

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 of the LLN principle, build lasting student intuition and present the common misconceptions about the law of large numbers. Both the SOCR LLN applet and activity are freely available online to the community to test, validate and extend (Applet: http://socr.ucla.edu/htmls/exp/Coin_Toss_LLN_Experiment.html, and Activity: http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_Activities_LLN).

Entities:  

Year:  2009        PMID: 21603584      PMCID: PMC3095954          DOI: 10.1080/10691898.2009.11889499

Source DB:  PubMed          Journal:  J Stat Educ        ISSN: 1069-1898


  2 in total

1.  Central Limit Theorem: New SOCR Applet and Demonstration Activity.

Authors:  Ivo D Dinov; Nicolas Christou; Juana Sanchez
Journal:  J Stat Educ       Date:  2008-07-01

2.  Pedagogical Utilization and Assessment of the Statistic Online Computational Resource in Introductory Probability and Statistics Courses.

Authors:  Ivo D Dinov; Juana Sanchez; Nicolas Christou
Journal:  Comput Educ       Date:  2008-01-01       Impact factor: 8.538

  2 in total
  2 in total

1.  SOCR Motion Charts: An Efficient, Open-Source, Interactive and Dynamic Applet for Visualizing Longitudinal Multivariate Data.

Authors:  Jameel Al-Aziz; Nicolas Christou; Ivo D Dinov
Journal:  J Stat Educ       Date:  2010

2.  Randomization-Based Statistical Inference: A Resampling and Simulation Infrastructure.

Authors:  Ivo D Dinov; Selvam Palanimalai; Ashwini Khare; Nicolas Christou
Journal:  Teach Stat       Date:  2018-04-11
  2 in total

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