Difference between revisions of "SOCR Events CMC 2010"

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(Summary)
(SOCR Products: added the links to the e and \pi estimation using stochastic approaches)
 
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|-
 
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| '''Venue''' || [http://www.palmspringscc.com/ Palm Springs Convention Center] || [http://www.visitasilomar.com/ Asilomar Conference Center, Pacific Grove, CA]
 
| '''Venue''' || [http://www.palmspringscc.com/ Palm Springs Convention Center] || [http://www.visitasilomar.com/ Asilomar Conference Center, Pacific Grove, CA]
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|-
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| '''Presenters''' || [http://www.stat.ucla.edu/~dinov Ivo Dinov] and [http://www.stat.ucla.edu/~nchristo Nicolas Christou] || [http://www.stat.ucla.edu/~dinov Ivo Dinov]
 
|}
 
|}
 
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[[Image:SOCR_Products_March2010_Fig1.png|200px|thumbnail|right| [[SOCR| SOCR Products]] ]]
 
[[Image:SOCR_Products_March2010_Fig1.png|200px|thumbnail|right| [[SOCR| SOCR Products]] ]]
 
* '''Title''': ''Technology-Enhanced Mathematics, Probability and Statistics ''.
 
* '''Title''': ''Technology-Enhanced Mathematics, Probability and Statistics ''.
 +
* '''2010 Theme''': Equity in Mathematics: Access, Achievement, Identity and Power
 
* '''Abstract''': We will present data, tools, materials and the pedagogical approach of the Statistics Online Computational Resource (SOCR) for technology-enhanced probability and statistics education. Following a review of the different types of SOCR online resources, we will go over two specific classroom utilization examples. The first one provides a hands-on demonstration of a statistical concept ([[AP_Statistics_Curriculum_2007_Limits_CLT |CLT]]) using interactive virtual experiments and simulations. The second example will showcase the use of SOCR resources to address interesting social, health, environmental, scientific, and engineering challenges. In this case, we'll focus on the [[SOCR_MotionCharts_CAOzoneData |Ozone pollution in California]], formulate health-related hypotheses, identify appropriate data and employ web-based exploratory and statistical data analysis tools.  
 
* '''Abstract''': We will present data, tools, materials and the pedagogical approach of the Statistics Online Computational Resource (SOCR) for technology-enhanced probability and statistics education. Following a review of the different types of SOCR online resources, we will go over two specific classroom utilization examples. The first one provides a hands-on demonstration of a statistical concept ([[AP_Statistics_Curriculum_2007_Limits_CLT |CLT]]) using interactive virtual experiments and simulations. The second example will showcase the use of SOCR resources to address interesting social, health, environmental, scientific, and engineering challenges. In this case, we'll focus on the [[SOCR_MotionCharts_CAOzoneData |Ozone pollution in California]], formulate health-related hypotheses, identify appropriate data and employ web-based exploratory and statistical data analysis tools.  
  
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** [[SOCR_MotionCharts_CAOzoneData | Hands-on California Ozone Data Activity]]
 
** [[SOCR_MotionCharts_CAOzoneData | Hands-on California Ozone Data Activity]]
 
** [http://socr.ucla.edu/Applets.dir/SOCRCurveFitter.html Polynomial Model Fitting]
 
** [http://socr.ucla.edu/Applets.dir/SOCRCurveFitter.html Polynomial Model Fitting]
 +
** Stochastic estimation of transcendental numbers: [[SOCR_EduMaterials_Activities_Uniform_E_EstimateExperiment|Natural number ''e'']] and [[SOCR_EduMaterials_Activities_BuffonNeedleExperiment|<math>\pi</math>]]
 
** Hands-on [[SOCR_EduMaterials_GamesActivitiesWavelets | Wavelet]] and [[SOCR_EduMaterials_GamesActivitiesFourier | Fourier]] representation and signal denoising
 
** Hands-on [[SOCR_EduMaterials_GamesActivitiesWavelets | Wavelet]] and [[SOCR_EduMaterials_GamesActivitiesFourier | Fourier]] representation and signal denoising
 
* Data: [[SOCR_Data | Diverse publicly accessible datasets for copy-paste/download utilization]]
 
* Data: [[SOCR_Data | Diverse publicly accessible datasets for copy-paste/download utilization]]
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* [http://www.SOCR.ucla.edu Main SOCR server, applets].
 
* [http://www.SOCR.ucla.edu Main SOCR server, applets].
 
* [http://wiki.stat.ucla.edu/socr Data, activities and EBooks].  
 
* [http://wiki.stat.ucla.edu/socr Data, activities and EBooks].  
* [http://forums.stat.ucla.edu/socr Feedback and Forum].  
+
* [http://www.socr.ucla.edu/htmls/SOCR_Survey.html Feedback] and [http://forums.stat.ucla.edu/socr Forum].  
 
* SOCR Navigators: [http://socr.ucla.edu/SOCR_HT_ResourceViewer.html Hyperbolic Graphical Viewer] and [http://socr.ucla.edu/Carousel SOCR Carousel].
 
* SOCR Navigators: [http://socr.ucla.edu/SOCR_HT_ResourceViewer.html Hyperbolic Graphical Viewer] and [http://socr.ucla.edu/Carousel SOCR Carousel].
  

Latest revision as of 14:43, 30 November 2010

SOCR News - SOCR Session at the 2010 California Math Council (CMC) Conference

Logistics

2010 CMC Meetings Palm Springs, CMC-South Asilomar, CMC-North
Session 676 541
Date November 06, 2010 December 04, 2010
Time 10:30-12:30 3:30 - 5:00
Place Smoke Tree F Room Pacific Grove Middle School (PGMS)
Venue Palm Springs Convention Center Asilomar Conference Center, Pacific Grove, CA
Presenters Ivo Dinov and Nicolas Christou Ivo Dinov

SOCR Presentation

  • Title: Technology-Enhanced Mathematics, Probability and Statistics .
  • 2010 Theme: Equity in Mathematics: Access, Achievement, Identity and Power
  • Abstract: We will present data, tools, materials and the pedagogical approach of the Statistics Online Computational Resource (SOCR) for technology-enhanced probability and statistics education. Following a review of the different types of SOCR online resources, we will go over two specific classroom utilization examples. The first one provides a hands-on demonstration of a statistical concept (CLT) using interactive virtual experiments and simulations. The second example will showcase the use of SOCR resources to address interesting social, health, environmental, scientific, and engineering challenges. In this case, we'll focus on the Ozone pollution in California, formulate health-related hypotheses, identify appropriate data and employ web-based exploratory and statistical data analysis tools.

What is www.SOCR.ucla.edu?

  • The Statistics Online Computational Resource provides portable online aids for probability and statistics education, technology based instruction and statistical computing. SOCR tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials.
  • SOCR aims to develop new Java applets, design diverse extensible SOCR learning activities, develop XML/HTML navigation/search tools for interactive materials, and validate and assess technology-enhances pedagogical techniques.

SOCR Products

SOCR Assessment and Efficacy

We have conducted several control-based studies of the efficacy of technology-enhanced statistics education. Using IRB-approved studies, quantitative and qualitative measures of student performance were recorded in classes using traditional (control) instruction (R or Stata based) and classes using SOCR resources and tools. Non-parametric analyses of the data showed very statistically significant (SOCR) treatment effects (\(p<10^{-4}\)) on student performance and perception of the material. The practical significance of these treatment effects were more modulated. More details about these studies are available here.

Summary

Session Evaluation

Please complete this brief (1-page) survey and provide your anonymous comments, ideas and critiques regarding the workshop organization and the presented SOCR materials. The organizers appreciate your time end effort to complete this survey and help us improve our education and training efforts.




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