GAISE�Guidelines for Assessment and Instruction in Statistics Education

Robin Lock

St. Lawrence University

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Patti Frazer Lock

St. Lawrence University

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Joint Mathematics Meetings, Boston

January 2023

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Co-author on original GAISE (2005) and revised GAISE (2016)

Co-chair for next GAISE revision (2025?)

GAISE 2005

1. Emphasize statistical literacy and develop statistical thinking
2. Use real data
3. Stress conceptual understanding, rather than mere knowledge of procedures
4. Foster active learning in the classroom
5. Use technology for developing conceptual understanding and analyzing data
6. Use assessments to improve and evaluate student learning

GAISE 2016

1. Teach statistical thinking.
• Teach statistics as an investigative process of problem-solving and decision making.
• Give students experience with multivariable thinking.

2. Focus on conceptual understanding.

3. Integrate real data with a context and purpose.

4. Foster active learning.

5. Use technology to explore concepts and analyze data.

6. Use assessments to improve and evaluate student learning.

GAISE is far more than just these recommendations!

Contents

Committee: .................................................................................................. 1

Executive Summary ..................................................................................... 3

Introduction ................................................................................................. 4

Goals for Students in Introductory Statistics Courses ................................. 8

Recommendations ..................................................................................... 12

Suggestions for Topics that Might be Omitted from Intro Stat……….......... 23

References ................................................................................................. 25

APPENDIX A: Evolution of Introductory Statistics and Emergence of Statistics Education Resources ................................................................... 28

APPENDIX B: Multivariable Thinking .......................................................... 34

APPENDIX C: Activities, Projects, and Datasets ......................................... 43

APPENDIX D: Examples of Using Technology ............................................. 66

APPENDIX E: Examples of Assessment Items .......................................... 104

APPENDIX F: Learning Environments ...................................................... 131

GAISE is far more than just these recommendations!

Contents

Committee: .................................................................................................. 1

Executive Summary ..................................................................................... 3

Introduction ................................................................................................. 4

Goals for Students in Introductory Statistics Courses ................................. 8

Recommendations ..................................................................................... 12

Suggestions for Topics that Might be Omitted from Intro Stat…….......... 23

GAISE is far more than just these recommendations!

Contents

Committee: .................................................................................................. 1

Executive Summary ..................................................................................... 3

Introduction ................................................................................................. 4

Goals for Students in Introductory Statistics Courses ................................. 8

Recommendations ..................................................................................... 12

Suggestions for Topics that Might be Omitted from Intro Stat……….......... 23

References ................................................................................................. 25

APPENDIX A: Evolution of Introductory Statistics and Emergence of Statistics Education Resources ................................................................... 28

APPENDIX B: Multivariable Thinking .......................................................... 34

APPENDIX C: Activities, Projects, and Datasets ......................................... 43

APPENDIX D: Examples of Using Technology ............................................. 66

APPENDIX E: Examples of Assessment Items .......................................... 104

APPENDIX F: Learning Environments ...................................................... 131

Revising GAISE

Co-chairs for the authoring committee are Patti Frazer Lock (St. Lawrence) and Jamie Perrett (Brigham Young).

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Just getting started! Remaining committee members to be decided in the next few weeks.

(Let us know if you are interested!)

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Organized by the American Statistical Association and the ASA Section on Statistics and Data Science Education.

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Revision process is expected to take about 2 years.

GAISE 2025

Initial areas identified for consideration by the ASA Section:

• explicit guidance on the foundational aspects of statistics for data science courses;
• explicit consideration of curriculum for introductory data science courses;
• ensure best practices in pedagogy and curriculum are reflected in a revision;
• effectively communicate recommendations and revisions through a JEDIA lens;
• include recommended learning outcomes; and
• provide more guidance on assessment.

Discussion

Discussion of the current GAISE report and its impact on the Intro Stat curriculum.

Ideas for what the revision might address?

What additional resources would be helpful?

Ideas for effectively sharing the GAISE report more broadly with a wider audience?