Guidelines for Assessment and Instruction in Statistics Education#The GAISE College Report

{{Infobox book

| name = Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report: A Pre-K–12 Curriculum Framework

| image = Guidelines for Assessment and Instruction in Statistics Education.jpg

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| author = Christine Franklin, Gary Kader, Denise Mewborn, Jerry Moreno, Roxy Peck, Mike Perry, and Richard Scheaffer

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| language = English

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| subject = Statistics Education

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| publisher = American Statistical Association

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| pub_date = 2007

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| pages = 108

| awards =

| isbn = 978-0-9791747-1-1

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| congress = QA276.18.G85 2007

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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{{cite book|last=Franklin|first=Christine, Gary Kader, Denise Mewborn, Jerry Moreno, Roxy Peck, Mike Perry, and Richard Scheaffer|title=Guidelines for Assessment and Instruction in Statistics Education|year=2007|publisher=American Statistical Association|isbn=978-0-9791747-1-1|url=http://www.amstat.org/education/gaise/GAISEPreK-12_Full.pdf}}{{cite journal|last=Jacobbe|first=Tim|title=Elementary School Teachers' Understanding of the Mean and Median|journal=International Journal of Science and Mathematics Education|date=October 2012|volume=10|issue=5|pages=1143–1161|doi=10.1007/s10763-011-9321-0|bibcode=2012IJSME..10.1143J|s2cid=11149947}} (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.{{cite web|title=GAISE Reports|url=http://www.amstat.org/education/gaise/|publisher=American Statistical Association|access-date=3 November 2012}} Several grants awarded by the National Science Foundation explicitly reference the GAISE documents as influencing or guiding the projects,{{cite web|title=Search Results|url=https://www.nsf.gov/awardsearch/simpleSearchResult?queryText=gaise&ActiveAwards=true&ExpiredAwards=true|publisher=National Science Foundation|access-date=12 February 2013}}{{cite web|title=LOCUS Homepage|url=http://education.ufl.edu/locus/|publisher=University of Florida|access-date=19 February 2013}}{{cite web|last=Peres|first=S. Camille|title=Award Abstract #0920688 Collaborative Research: Online Statistics Education: An Interactive Multimedia Course of Study II|url=https://www.nsf.gov/awardsearch/showAward?AWD_ID=0920688&HistoricalAwards=false|publisher=National Science Foundation|access-date=12 February 2013}}{{cite web|title=AIMS & GAISE|url=http://www.tc.umn.edu/~aims/aimsgaise.htm|publisher=University of Minnesota|access-date=19 February 2013}} and several popular introductory statistics textbooks have cited the GAISE documents as informing their approach.{{cite book|last=Agresti|first=Alan, and Christine Franklin|title=Statistics : the art and science of learning from data (3rd ed)|year=2013|publisher=Pearson|location=Boston|isbn=9780321755940}}{{cite book|last=Rossman|first=Allan, Beth L. Chance|title=Workshop statistics : discovery with data|year=2012|publisher=Wiley|location=Hoboken, NJ|isbn=978-0-470-54209-5|edition=4th}}

The GAISE Report (pre-K–12)

The GAISE document provides a two-dimensional framework,{{cite journal|last=Bargagliotti|first=Anna E.|title=How well do the NSF Funded Elementary Mathematics Curricula align with the GAISE report recommendations?|journal=Journal of Statistics Education|year=2012|volume=20|issue=3|doi=10.1080/10691898.2012.11889646|s2cid=122262813|url=http://www.amstat.org/publications/jse/v20n3/bargagliotti.pdf|doi-access=free}} 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).{{cite journal|last=Metz|first=Mary Louise|title=Using GAISE and NCTM Standards as Frameworks for Teaching Probability and Statistics to Pre-Service Elementary and Middle School Mathematics Teachers|journal=Journal of Statistics Education|year=2010|volume=18|issue=3|doi=10.1080/10691898.2010.11889585|s2cid=121844287|url=http://www.amstat.org/publications/jse/v18n3/metz.pdf|access-date=30 January 2013|doi-access=free}} 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. A student's level of statistical maturity is based on experience rather than age.{{cite web|last=Franklin|first=Christine|title=Chris Franklin's summary of the Pre-K–12 report|url=http://www.amstat.org/education/gaise/PreK-12GAISEJSM04.ppt|work=PowerPoint Slides from the GAISE Session at the 2004 Joint Statistics Meetings in Toronto|publisher=American Statistical Association|access-date=30 January 2013}}

The GAISE College Report

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.{{cite web|last=Kuiper|first=Shonda|title=Guidelines for Statistics Education|url=http://web.grinnell.edu/individuals/kuipers/stat2labs/gaise.html|work=Stat 2 Labs|access-date=30 January 2013}} Six recommendations for introductory statistics courses are given, namely:{{cite web|last=Lock|first=Robin|title=Robin Lock's summary of the college report|url=http://www.amstat.org/education/gaise/CollegeGAISEJSM04.ppt|work=PowerPoint Slides from the GAISE Session at the 2004 Joint Statistics Meetings in Toronto|publisher=American Statistical Association|access-date=30 January 2013}}

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

Examples and suggestions for how these recommendations could be implemented are included in several appendices.{{cite book|last=Aliaga|first=Martha, George Cobb, Carolyn Cuff, Joan Garfield, Rob Gould, Robin Lock, Tom Moore, Allan Rossman, Bob Stephenson, Jessica Utts, Paul Velleman, and Jeff Witmer|title=GAISE College Report|year=2010|publisher=American Statistical Association|url=http://www.amstat.org/education/gaise/GaiseCollege_Full.pdf}}

References

External links

[http://www.amstat.org/education/gaise/ The GAISE framework documents]

Category:Statistics education

Category:2007 introductions