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This webinar and workshop focus on the challenges faced by math educators in preparing statistics teachers. Topics include the role of statistics in math degrees, "extra-mathematical" concepts in statistics education, and best practices for teaching statistics. Resources such as magazines, journals, conferences, and software are also recommended.
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Teaching to the Guidelines for Assessment and Instruction in Statistics Education CAUSEway Webinar Sept 12, 2006
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)
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