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Workshop on Teaching Introductory Statistics Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I: GAISE Recommendations Roger Woodard, North Carolina State University Ginger Holmes Rowell, Middle Tennessee State University Medical College of Wisconsin in Milwaukee July 10th, 2006

Workshop on Teaching Introductory Statistics Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I: GAISE Recommendations

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Page 1: Workshop on Teaching Introductory Statistics Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I: GAISE Recommendations

Workshop on Teaching Introductory Statistics

Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I:

GAISE Recommendations

Roger Woodard, North Carolina State UniversityGinger Holmes Rowell, Middle Tennessee State University

Medical College of Wisconsin in Milwaukee

July 10th, 2006

Page 2: Workshop on Teaching Introductory Statistics Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I: GAISE Recommendations

Guidelines for Assessment and Instruction in

Statistics Education (GAISE)

http://www.amstat.org/education/gaise/GAISECollege.htm

Page 3: Workshop on Teaching Introductory Statistics Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I: GAISE Recommendations

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Emphasize Statistical Literacy & Develop Statistical Thinking

Literacy:Knowledge of basic terms and symbolsAbility to read graphsUnderstanding fundamental ideas

Thinking:Understanding the need for data and the

importance of data productionUnderstanding the omnipresence and the

quantification and explanation of variability

Page 4: Workshop on Teaching Introductory Statistics Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I: GAISE Recommendations

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Use Real Data

Types: Archival, class generated, simulated

Reasons for Use: Authenticity Considering collection or production

issues Relating analysis to problem context Engaging students in thinking about

relevant statistical concepts

Page 5: Workshop on Teaching Introductory Statistics Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I: GAISE Recommendations

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Stress Conceptual Understanding Rather than Mere Knowledge of Procedures

Without understanding concepts, procedures have little value.

Teach fewer core concepts in more depth using fewer techniques.

Emphasize interpretation of results by computing with technology.

Use formulas that enhance conceptual understanding.

Page 6: Workshop on Teaching Introductory Statistics Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I: GAISE Recommendations

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Foster Active Learning in the Classroom

Students discover, construct, and understand statistical ideas.

Students practice thinking and communicating statistically.

Students learn from each other. Examples Include:

Group projects, laboratory activities, computer simulations, class demonstration and discussion

Page 7: Workshop on Teaching Introductory Statistics Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I: GAISE Recommendations

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Use Technology For Developing Concepts and Analyzing Data

Not to be used for the sake of using technology

Allows students to focus on interpretation, not mechanics

Helps students analyze data, visualize concepts, and understand abstract ideas

Examples Include: Computer labs, graphing calculators,

software, applets, websites, etc.

Page 8: Workshop on Teaching Introductory Statistics Session 1: Planning A Conceptual Course Using Common Threads And Big Ideas, Part I: GAISE Recommendations

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Use Assessments to Improve and Evaluate Student Learning

Assessments should be aligned with learning goals.

Focus on key ideas, not just skills, procedures, and computation.

Useful and timely feedback is essential to learning.

Examples Include: Homework, quizzes & tests, projects, oral

presentations, written reports, minute papers, article critiques, etc.