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Enhancing Introductory Statistics Teaching with Technology: Techniques and Strategies

This workshop explores effective methods for integrating technology into the teaching of introductory statistics. Participants will learn to use various tools such as statistical software, graphing calculators, and online resources to enhance data analysis and visualization. Emphasis is placed on ensuring that technology serves educational purposes rather than being used for its own sake. The sessions include interactive activities, demonstrations, and discussions on how to foster conceptual understanding and support students in their analytical work using technology.

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Enhancing Introductory Statistics Teaching with Technology: Techniques and Strategies

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  1. Workshop on Teaching Introductory Statistics Sessions 6 & 7: Using Technology in the Classroom, Parts I & II Roger Woodard, North Carolina State University Ginger Holmes Rowell, Middle Tennessee State University Medical College of Wisconsin in Milwaukee July 10-13, 2006

  2. GAISE: Use Technology For Developing Concepts & Analyzing Data • Not to be used for the sake of using technology • Allows students to focus on interpretation, not mechanics • Helps students analyze data, visualize concepts, and understand abstract ideas • Examples Include: • Computer software, graphing calculators, applets, websites, response systems, etc.

  3. Using Technology • To help avoid using technology just to use technology consider the Triadic Approach to Technology Assessment Activity Technology Outcome Flashlight Project, The TLT Group,http://www.tltgroup.org/media/fl/Triad.htm

  4. Desired Outcome Visualize shape of binomial distribution for different values of n and p. Recognize convergence of relative frequency to distribution function. Select Activity Simulate a binomial experiment 10, 100 & 1000 times. Vary n and p. Select Technology 10 Simulations – Low Tech 1000 Simulations – High Tech (Computer Simulation) An Example: Using Technology

  5. Using Technology Sessions • Outline • Part I: Analyze Data • Demo statistical software • Time for project work • Part II: Conceptual Understanding • Visualization through simulation • Software, Calculator, Applets

  6. Technologies for Analysis • Statistical Software Packages • Internet-based (Java) Analysis Tools • StatCrunch (www.statcrunch.com) • Others • Graphing Calculators • Computer Response Systems • “Clickers” • TI Navigator

  7. Statistical Software Packages • Lots of choices – even for intro stat Look for • Easy to use – intuitive interface • Helps students focus on concepts and interpretation • Good price (i.e. student versions) • Encourage students to • Learn how to use the help menus and • Figure out some things on their own

  8. Don’t Forget About • Using technology to create reports of their analysis • Importing graphs into Word/PowerPoint • Exposure to “standards” for writing in their discipline • When grading reports, develop a rubric • Encourages better reports • Important for grading • Helps students know what is important

  9. Technology for Analysis • Demonstrations • Fathom • StatCrunch • Some links • Statistical Tests fonsq3.let.uva.nl/Service/Statistics.html • VassarStat faculty.vasser.edu/lowry/VassarStats.html • Statistics Online Computational Resource Socr.stat.ucla.edu/htmls/SOCR_Analyses.html • Statistical Calculators calculators.stat.ucla.edu

  10. Its Your Turn • What are appropriate ways to incorporate technology into the activity that you are developing? • Spend time working on this with your group.

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