Teaching to the Guidelines for Assessment and Instruction in by dffhrtcv3

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									Teaching to the Guidelines for
Assessment and Instruction in
    Statistics Education
       CAUSEway Webinar
         Sept 12, 2006
Workshop at St. Mary's of
      California
     Challenges facing Math
    Educators in preparing stats
             teachers
• AP Stats most often taught by math teachers.
• Most math degrees do NOT require a statistics
  course that covers the same content as AP.
• “Extra-mathematical” concepts: Exploratory data
  analysis, the role of randomization, experimental
  design, fitting statistical models to data
                  GAISE
• Based on a constructivist paradigm
• Statistics is about doing, as well as
  understanding, and so activities are vitally
  important. You can't expect students to
  play piano after taking music theory
  lessons. So don't expect students to do data
  analysis after reading about mathematical
  properties of the mean.
             GAISE College
• Statistical literacy and statistical thinking
• Use real data
• Conceptual understanding over knowledge
  of procedures
• Active learning
• Technology to develop concepts and for
  data analysis
• Assessments should improve and evaluate
  student learning
               Resources
• CAUSEWeb (Where? Show how to search
  for lesson plans? But what about the many
  bad ones?)
• Magazines and Journals
• Conferences and Meetings
• Software
          Magazines and Journals
• Chance (ASA)
http://www.amstat.org/publications/chance/
• Stats! The magazine for students of statistics
http://www.amstat.org/publications/stats/
• Significance (RSS)
http://www.rss.org.uk/main.asp?page=1712
• Statistical Science (IMS)
http://www.imstat.org/sts/
            Magazines and Journals
• Teaching Statistics (RSS)
http://www.rsscse.org.uk/resources/TS.asp
• Journal of Statistics Education (ASA)
http://www.amstat.org/publications/jse/
• Statistics Education Research Journal (IASE)
http://www.stat.auckland.ac.nz/~iase/about.php
• Technological Innovations in Statistics Education
  (UCLA) Coming in May 2007.
http://tise.stat.ucla.edu
                 Software
• Fathom particularly suited for teaching
    Meetings and Organizations
• CAUSE
   – USCOTS (every two years, next in May, 2007)
• International Statistical Institute
   – ICOTS (every 4 years, next in 2010)
• Statistical Reasoning, Teaching and
  Learning (every 4 years, next in 2007)
Brief demonstration of Fathom
     Lesson Plans from workshop
•   Bias and variability for sampling
•   Understanding mean and median
•   Understanding when to use types of graphs
•   Hypothesis test of means
•   Descriptive stats and hypothesis testing
•   Designing experiments
•   Understanding chi-square test

								
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