Difference between revisions of "SOCR Events NCMT 2012"

From SOCR
Jump to: navigation, search
m (SOCR Presentation)
(Session Evaluation)
 
(2 intermediate revisions by the same user not shown)
Line 13: Line 13:
 
| '''Time''' || 3:30 PM-4:30 PM
 
| '''Time''' || 3:30 PM-4:30 PM
 
|-
 
|-
| '''Place''' || Philadelphia Convention Center (PCC), Room 117
+
| '''Place''' || [http://nctm.confex.com/nctm/2012AM/webprogram/Session7127.html Philadelphia Convention Center (PCC), Room 117]
 
|-
 
|-
 
| '''Venue''' || [http://www.paconvention.com Philadelphia Convention Center]
 
| '''Venue''' || [http://www.paconvention.com Philadelphia Convention Center]
Line 26: Line 26:
 
* '''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.  
  
====What is [http://www.SOCR.ucla.edu www.SOCR.ucla.edu]?====
+
====What is [http://www.SOCR.ucla.edu SOCR]?====
 
* The [http://www.SOCR.ucla.edu  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.
 
* The [http://www.SOCR.ucla.edu  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 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 Products====
Line 57: Line 57:
  
 
<hr>
 
<hr>
 +
* [http://www.socr.ucla.edu/docs/Activities/SOCR_NCTM_2012_Talk.pptx Presentation Slides (PPTX)]
 
* SOCR Home page: http://www.socr.ucla.edu
 
* SOCR Home page: http://www.socr.ucla.edu
  
 
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_NCMT_2012}}
 
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_NCMT_2012}}

Latest revision as of 15:36, 19 April 2012

SOCR News - SOCR Session at the 2012 National Council of Teachers of Mathematics (TCTM) Meeting

Logistics

2012 National Council of Teachers of Mathematics (TCTM)
Session ID 7127, HIGHER EDUCATION SESSION
Date April 26, 2012
Time 3:30 PM-4:30 PM
Place Philadelphia Convention Center (PCC), Room 117
Venue Philadelphia Convention Center
Presenters Ivo Dinov and Nicolas Christou

SOCR Presentation

  • Title: Technology-Enhanced Mathematics and Statistics Education.
  • 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 SOCR?

  • 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.




Translate this page:

(default)
Uk flag.gif

Deutsch
De flag.gif

Español
Es flag.gif

Français
Fr flag.gif

Italiano
It flag.gif

Português
Pt flag.gif

日本語
Jp flag.gif

България
Bg flag.gif

الامارات العربية المتحدة
Ae flag.gif

Suomi
Fi flag.gif

इस भाषा में
In flag.gif

Norge
No flag.png

한국어
Kr flag.gif

中文
Cn flag.gif

繁体中文
Cn flag.gif

Русский
Ru flag.gif

Nederlands
Nl flag.gif

Ελληνικά
Gr flag.gif

Hrvatska
Hr flag.gif

Česká republika
Cz flag.gif

Danmark
Dk flag.gif

Polska
Pl flag.png

România
Ro flag.png

Sverige
Se flag.gif