Course description
Introduction to Data Wise: A Collaborative Process to Improve Learning & Teaching
Educators have an ever-increasing stream of data at their fingertips, but knowinghowto use this data to improve learning and teaching — how to make it less overwhelming, more useful, and part of an effective collaborative process — can be challenging.
Based on the bookData Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning, this course describes a clear, 8-step process for using a wide range of data sources to improve instruction. You will see what this disciplined way of working with colleagues can look and feel like in a school setting. You will also have the opportunity to share insights and experiences about school improvement with educators from around the world.
Introduction to Data Wiseis open to all but is especially valuable for teachers and school and district leaders, as well as policymakers, and educational entrepreneurs who are dedicated to improving outcomes for students. There are several ways you could take this course:
- Participate on your own.
- Enroll with a few colleagues as part of a study group.
- Formally integrate it into professional development in your workplace.
It is a self-paced course. You can go through the essential materials in a day or take several weeks to allow for reflection. There will be one month of active course facilitation, which will include discussion board moderation, office hours, and other live events.
Upcoming start dates
Suitability - Who should attend?
Prerequisites
None
Outcome / Qualification etc.
What you'll learn
- Understand what the Data Wise Improvement Process is and how it can help you improve teaching and learning
- Build skills in looking at a wide range of data sources, including test scores, student work, and teaching practice
- Identify next steps in supporting a culture of collaborative data inquiry in your setting
- Understand what the Data Wise Improvement Process is and how it can help you improve teaching and learning
Course delivery details
This course is offered through Harvard University, a partner institute of EdX.
1-2 hours per week
Expenses
- Verified Track -$139
- Audit Track - Free