Ten Recommendations for Statistics and Data Science
- Teach statistics and data science as iterative processes of gleaning insights from data to inform evidence-based decisions.
- Emphasize effective written and oral communication of results from data, with attention to the scope and limitations of conclusions.
- Focus on conceptual understanding rather than algebraic manipulation and formulas.
- Integrate real data with a context and purpose throughout the course. Select data that are meaningful and engaging to the students.
- Encourage multivariable thinking.
- Incorporate software/apps to explore concepts and work with data.
- Emphasize responsible and ethical conduct in the collection and use of data and in their analysis.
- Employ evidence-based pedagogies that actively engage students in the learning process.
- Use a variety of formative and summative assessments to improve teaching and learning.
- Implement a course design that uses inclusive strategies to foster a sense of belonging.