Difference between revisions of "SOCR Wiki Educational Materials Expansion Project"
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| − | ==[[SOCR]] | + | ==[[Available_SOCR_Development_Projects | SOCR Project]] - SOCR Wiki Educational Materials Expansion Project== |
==Project Goal== | ==Project Goal== | ||
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==Project specs== | ==Project specs== | ||
This project will involve designing new educational materials for IT-based probability, statistics and math education. I will developed 30+ interactive activities that demonstrate the utilization of [http://www.SOCR.ucla.edu www.SOCR.ucla.edu] computational applets for improving student motivation, building intuition and enhancing knowledge retention. In this project, we will be designing new interactive educational materials and resources for blending IT-tools in the regular statistics education curriculum. Examples of such tools and materials are included in the [[SOCR EduMaterials]]. We need to expand the current collection of activities and provide activities for most of the [[SOCR]] [http://www.socr.ucla.edu/htmls/SOCR_Distributions.html Distributions], [http://www.socr.ucla.edu/htmls/SOCR_Experiments.html Experiments], [http://www.socr.ucla.edu/htmls/SOCR_Games.html Games], [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses], [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Charts] and [http://www.socr.ucla.edu/htmls/SOCR_Modeler.html Modelers], as well as design new meta-activities that utilize several of these utilities (e.g., [[SOCR_EduMaterials_Activities_PowerTransformFamily_Graphs | Power Transform]], [[SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture | EM Mixture Modeling]], [[SOCR_EduMaterials_Activities_LawOfLargeNumbers | Law of Large Numbers]]). | This project will involve designing new educational materials for IT-based probability, statistics and math education. I will developed 30+ interactive activities that demonstrate the utilization of [http://www.SOCR.ucla.edu www.SOCR.ucla.edu] computational applets for improving student motivation, building intuition and enhancing knowledge retention. In this project, we will be designing new interactive educational materials and resources for blending IT-tools in the regular statistics education curriculum. Examples of such tools and materials are included in the [[SOCR EduMaterials]]. We need to expand the current collection of activities and provide activities for most of the [[SOCR]] [http://www.socr.ucla.edu/htmls/SOCR_Distributions.html Distributions], [http://www.socr.ucla.edu/htmls/SOCR_Experiments.html Experiments], [http://www.socr.ucla.edu/htmls/SOCR_Games.html Games], [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses], [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Charts] and [http://www.socr.ucla.edu/htmls/SOCR_Modeler.html Modelers], as well as design new meta-activities that utilize several of these utilities (e.g., [[SOCR_EduMaterials_Activities_PowerTransformFamily_Graphs | Power Transform]], [[SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture | EM Mixture Modeling]], [[SOCR_EduMaterials_Activities_LawOfLargeNumbers | Law of Large Numbers]]). | ||
| + | |||
| + | ==Examples of Case Studies== | ||
| + | There is a wide range of projects, data, tools and topics that can be used in SOCR Wiki Activities and Case-Studies. Below are some (non-exclusive) illustrative examples. | ||
| + | |||
| + | ===Time-Series Analyses of Google Trends=== | ||
| + | [http://www.google.com/finance/domestic_trends Google-Trends] tracks Internet search traffic across specific sectors of the economy using the Google Search Engine. Alterations in the search volume of a given sector may provide unique economic insights to the public perception and real economic trends in the US. Each trend-index measures relative query volume compared to the total number of searches on google.com, hence a decreasing index implies that the relative frequency of this search topic is lower (not necessarily that the total number of searches is decreasing). | ||
| + | * '''Data''': [http://www.google.com/finance/domestic_trends Google-Trends Main Page], see [[SOCR_Data_GoogleTrends_2005_2011| the SOCR Google Web-Search Trends Data (2005-2011)]]. | ||
| + | * '''Software Tools''': [http://www.jmulti.de/ JMulTi] a Java-based Time Series Analysis toolkit. | ||
| + | * '''Case-Study Foci''': One can explore a diverse array of studies using the dynamic Google-Trends data. Examples include predicting trends within a sector (e.g., jobs, real estate), historical correlations between different types of sectors (e.g., unemployment and [http://finance.yahoo.com/q/hp?s=^DJI+Historical+Prices Dow Jones Industrial Index, DJI]), predicting relations between different variables, predicting the trend of one or several sectors, studying causality between different variables, auto-regressive time-series analysis of sectors, exploring association between [http://www.google.com/finance/domestic_trends sectors] and [[SOCR_Data_MonetaryBaseStocksInterest1959_2009|various economic and business indices]], etc. | ||
| + | |||
| + | ==See also== | ||
| + | * [[SOCR_Data#Economic.2C_Business_and_Stock_Market_Data|SOCR Economic and Market Data]] | ||
| + | * [[SOCR_Wiki_Graph_Project]] | ||
==[[Available SOCR Development Projects]]== | ==[[Available SOCR Development Projects]]== | ||
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| + | * See the [[SOCR_EduMaterials_GuidelinesWikiEditing | SOCR Wiki Resource Editing Guide]] | ||
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Wiki_Educational_Materials_Expansion_Project}} | {{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Wiki_Educational_Materials_Expansion_Project}} | ||
Latest revision as of 16:58, 25 July 2011
Contents
SOCR Project - SOCR Wiki Educational Materials Expansion Project
Project Goal
To expand the existent SOCR Activities with new modular or meta hands-on exercises and activities that utilize the available SOCR tools.
Background
The SOCR resource consists of a number of java applets, computational library and educational materials. As part of our commitment to modernize probability and statistics education using IT-tools we design, test, validate and disseminate a number of materials and activities that illustrate the power of various statistical techniques, experimental processes and interactive Java applets.
Project specs
This project will involve designing new educational materials for IT-based probability, statistics and math education. I will developed 30+ interactive activities that demonstrate the utilization of www.SOCR.ucla.edu computational applets for improving student motivation, building intuition and enhancing knowledge retention. In this project, we will be designing new interactive educational materials and resources for blending IT-tools in the regular statistics education curriculum. Examples of such tools and materials are included in the SOCR EduMaterials. We need to expand the current collection of activities and provide activities for most of the SOCR Distributions, Experiments, Games, Analyses, Charts and Modelers, as well as design new meta-activities that utilize several of these utilities (e.g., Power Transform, EM Mixture Modeling, Law of Large Numbers).
Examples of Case Studies
There is a wide range of projects, data, tools and topics that can be used in SOCR Wiki Activities and Case-Studies. Below are some (non-exclusive) illustrative examples.
Time-Series Analyses of Google Trends
Google-Trends tracks Internet search traffic across specific sectors of the economy using the Google Search Engine. Alterations in the search volume of a given sector may provide unique economic insights to the public perception and real economic trends in the US. Each trend-index measures relative query volume compared to the total number of searches on google.com, hence a decreasing index implies that the relative frequency of this search topic is lower (not necessarily that the total number of searches is decreasing).
- Data: Google-Trends Main Page, see the SOCR Google Web-Search Trends Data (2005-2011).
- Software Tools: JMulTi a Java-based Time Series Analysis toolkit.
- Case-Study Foci: One can explore a diverse array of studies using the dynamic Google-Trends data. Examples include predicting trends within a sector (e.g., jobs, real estate), historical correlations between different types of sectors (e.g., unemployment and Dow Jones Industrial Index, DJI), predicting relations between different variables, predicting the trend of one or several sectors, studying causality between different variables, auto-regressive time-series analysis of sectors, exploring association between sectors and various economic and business indices, etc.
See also
Available SOCR Development Projects
SOCR ProposalSubmissionGuidelines
- See the SOCR Wiki Resource Editing Guide
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