Guidelines for Assessment and Instruction in Statistics Education

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Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report: A Pre-K–12 Curriculum Framework
AuthorChristine Franklin, Gary Kader, Denise Mewborn, Jerry Moreno, Roxy Peck, Mike Perry, and Richard Scheaffer
LanguageEnglish
SubjectStatistics Education
PublisherAmerican Statistical Association
Publication date
2007
Pages108
ISBN978-0-9791747-1-1
LC ClassQA276.18.G85 2007

The Guidelines for Assessment and Instruction in Statistics Education (GAISE) are a framework for statistics education in grades Pre-K–12 published by the American Statistical Association (ASA) in 2007. The foundations for this framework are the Principles and Standards for School Mathematics published by the National Council of Teachers of Mathematics[1][2][3] (NCTM) in 2000. A second report focused on statistics education at the collegiate level, the GAISE College Report, was published in 2005. Both reports were endorsed by the ASA.[4] Several grants awarded by the National Science Foundation explicitly reference the GAISE documents as influencing or guiding the projects,[5][6][7][8] and several popular introductory statistics textbooks have cited the GAISE documents as informing their approach.[9][10]

The GAISE Report (pre-K–12)[edit]

The GAISE document provides a two-dimensional framework,[11] specifying four components used in statistical problem solving (formulating questions, collecting data, analyzing data, and interpreting results) and three levels of conceptual understanding through which a student should progress (Levels A, B, and C).[12] A direct parallel between these conceptual levels and grade levels is not made because most students would begin at Level A when they are first exposed to statistics regardless of whether they are in primary, middle, or secondary school.[1][3] A student's level of statistical maturity is based on experience rather than age.[2][3]

The GAISE College Report[edit]

The GAISE College Report begins by synthesizing the history and current understanding of introductory statistics courses and then lists goals for students based on statistical literacy.[13] Six recommendations for introductory statistics courses are given, namely:[14]

  1. Emphasize statistical thinking and literacy over other outcomes
  2. Use real data where possible
  3. Emphasize conceptual rather than procedural understanding
  4. Take an active learning approach
  5. Analyze data using technology rather than by hand
  6. Focus on supporting student learning with assessments

Examples and suggestions for how these recommendations could be implemented are included in several appendices.[15]

References[edit]

  1. ^ a b Franklin, Christine, Gary Kader, Denise Mewborn, Jerry Moreno, Roxy Peck, Mike Perry, and Richard Scheaffer (2007). Guidelines for Assessment and Instruction in Statistics Education (PDF). American Statistical Association. ISBN 978-0-9791747-1-1.{{cite book}}: CS1 maint: multiple names: authors list (link)
  2. ^ a b Franklin, Christine. "Chris Franklin's summary of the Pre-K–12 report". PowerPoint Slides from the GAISE Session at the 2004 Joint Statistics Meetings in Toronto. American Statistical Association. Retrieved 30 January 2013.
  3. ^ a b c Jacobbe, Tim (October 2012). "Elementary School Teachers' Understanding of the Mean and Median". International Journal of Science and Mathematics Education. 10 (5): 1143–1161. Bibcode:2012IJSME..10.1143J. doi:10.1007/s10763-011-9321-0. S2CID 11149947.
  4. ^ "GAISE Reports". American Statistical Association. Retrieved 3 November 2012.
  5. ^ "Search Results". National Science Foundation. Retrieved 12 February 2013.
  6. ^ "LOCUS Homepage". University of Florida. Retrieved 19 February 2013.
  7. ^ Peres, S. Camille. "Award Abstract #0920688 Collaborative Research: Online Statistics Education: An Interactive Multimedia Course of Study II". National Science Foundation. Retrieved 12 February 2013.
  8. ^ "AIMS & GAISE". University of Minnesota. Retrieved 19 February 2013.
  9. ^ Agresti, Alan, and Christine Franklin (2013). Statistics : the art and science of learning from data (3rd ed). Boston: Pearson. ISBN 9780321755940.{{cite book}}: CS1 maint: multiple names: authors list (link)
  10. ^ Rossman, Allan, Beth L. Chance (2012). Workshop statistics : discovery with data (4th ed.). Hoboken, NJ: Wiley. ISBN 978-0-470-54209-5.{{cite book}}: CS1 maint: multiple names: authors list (link)
  11. ^ Bargagliotti, Anna E. (2012). "How well do the NSF Funded Elementary Mathematics Curricula align with the GAISE report recommendations?" (PDF). Journal of Statistics Education. 20 (3). doi:10.1080/10691898.2012.11889646. S2CID 122262813.
  12. ^ Metz, Mary Louise (2010). "Using GAISE and NCTM Standards as Frameworks for Teaching Probability and Statistics to Pre-Service Elementary and Middle School Mathematics Teachers" (PDF). Journal of Statistics Education. 18 (3). doi:10.1080/10691898.2010.11889585. S2CID 121844287. Retrieved 30 January 2013.
  13. ^ Kuiper, Shonda. "Guidelines for Statistics Education". Stat 2 Labs. Retrieved 30 January 2013.
  14. ^ Lock, Robin. "Robin Lock's summary of the college report". PowerPoint Slides from the GAISE Session at the 2004 Joint Statistics Meetings in Toronto. American Statistical Association. Retrieved 30 January 2013.
  15. ^ Aliaga, Martha, George Cobb, Carolyn Cuff, Joan Garfield, Rob Gould, Robin Lock, Tom Moore, Allan Rossman, Bob Stephenson, Jessica Utts, Paul Velleman, and Jeff Witmer (2010). GAISE College Report (PDF). American Statistical Association.{{cite book}}: CS1 maint: multiple names: authors list (link)

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