1. Guidelines for Assessment and Instruction in Statistics Education
Guidelines for Assessment and Instruction in Statistics Education (GAISE): Brief Overview
Summarized from the GAISE College Report for Teaching Introductory Statistics
Ginger Holmes Rowell and Megan Hall Middle Tennessee State University
“Get It” Cluster Group, USCOTS May 17-19, 2007
JMM 2006: Session on First Steps for Implementing the Recommendations of GAISE

2. Emphasize Statistical Literacy & Develop Statistical Thinking
Guidelines for Assessment and Instruction in Statistics Education
Emphasize Statistical Literacy & Develop Statistical Thinking
Literacy:
Knowledge of basic terms and symbols
Ability to read graphs
Understanding fundamental ideas
Thinking:
Understanding the need for data and the importance of data production
Understanding the omnipresence and the quantification and explanation of variability
JMM 2006: Session on First Steps for Implementing the Recommendations of GAISE

3. Use Real Data Types: Reasons for Use:
Guidelines for Assessment and Instruction in Statistics Education
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
JMM 2006: Session on First Steps for Implementing the Recommendations of GAISE

4. Guidelines for Assessment and Instruction in Statistics Education
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.
JMM 2006: Session on First Steps for Implementing the Recommendations of GAISE

5. Foster Active Learning in the Classroom
Guidelines for Assessment and Instruction in Statistics Education
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
JMM 2006: Session on First Steps for Implementing the Recommendations of GAISE

6. Use Technology For Developing Concepts and Analyzing Data
Guidelines for Assessment and Instruction in Statistics Education
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.
JMM 2006: Session on First Steps for Implementing the Recommendations of GAISE

7. Use Assessments to Improve and Evaluate Student Learning
Guidelines for Assessment and Instruction in Statistics Education
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.
JMM 2006: Session on First Steps for Implementing the Recommendations of GAISE