This free online course will help you to use data science to deliver better outcomes for your students.
Each week will focus on a different aspect of data. You will identify sources and interpret them, determine their implications and establish actions for improvement.
Week 1 – Improvement Science
We will consider different sources and types of data; ways to improve student outcomes; improvement processes in your own context and professional experience; and real-world examples of improving student outcomes.
- Identifying different sources and types of data
- Ways to improve student outcomes
- Improvement processes in your own context and professional experience
- Real-world examples of improving student outcomes
Week 2 – Findings
We will discuss: how to present and evaluate data effectively; the difference between data and findings; the role of ethics in data handling and sharing; and the relationship required between data, findings and actions, to achieve continuous improvement.
- How to present and evaluate data effectively
- The difference between data and findings
- The role of ethics in data handling and sharing
- The relationship required between data, findings and actions, to achieve continuous improvement
Week 3 – Actions
We will explore different indicators for measuring improvement; how to collect sample data and select the appropriate indicator; and how to present indicators and actions to your students.
- Different indicators for measuring improvement
- How to collect sample data and select the appropriate indicator
- How to present indicators and actions to students
Learn with expert educators from AACTE
The course has been developed by the American Association of Colleges for Teacher Education (AACTE) – the premier voice on educator preparation in the United States.
You will learn with Linda McKee – an experienced teacher trainer and Senior Director of Quality Support Initiatives at AACTE.
What will you achieve?
- Identify data sources and recognise different types of data.
- Recognise and discuss different methods for improvement initiatives.
- Interpret case studies and discuss improvement processes within your own context and professional experience.
- Explain the relationship between data, findings and actions required in order to achieve continuous improvement.
- Describe the difference between data and findings.
- Produce findings from a sample set of data.
- Evaluate and discuss the different approaches taken in example data dashboards.
- Identify and select the most appropriate indicators for measuring improvement.
Who is the course for?
This course is designed for professional educators, as well as those working in other professional services like health, who wish to use data science to improve outcomes.
This school offers programs in:
Last updated February 8, 2018