Data Wise: Collaborative Process to Improve Teaching and Learning

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A Step-by-Step Guide: Results Assessment to Improve Teaching and Learning, 8-step process for using a wide range of data sources to improve instruction.

Last updated on October 21, 2021 10:21 pm

Introduction

Learn what is involved in using data wisely to build a culture of collaborative Process to Improve Teaching and Learning

About this course

Educators have an ever-increasing stream of data at their fingertips, but knowing how to 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 book Data 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 Wise is 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.

This course provides an introduction to a rich portfolio of books, resources, training, and support developed by the Data Wise Project at the Harvard Graduate School of Education. The Data Wise Project works in partnership with teachers and school and system leaders to develop and field-test resources that support collaborative school improvement. We encourage you to explore these resources as you chart a course for using data to improve learning and teaching for all students.

What you will learn?

  • You will understand what the D,ata 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.

Syllabus on Data Wise to Improve Teaching and Learning

Data Wise is organized into the following sections:

Foundations of Data Wise

Description
In this step you will become acquainted with the course website and the role of teaching fellows and learners in this course. You will meet your fellow learners and get to know about each other’s goals for the course, their backgrounds and leadership contexts.

Learning Objectives
Upon completion of this module, you will be able to:

  • Access instructional and peer support for your learning.
  • Create a plan for managing your time effectively to engage fully in this course.
  • Explain how the Data Wise Improvement Process can be used to organize the core work of schools & systems for improvement of teaching and learning.

Step 1 – Teaching and Learning: Organize for Collaborative Work

Description
In this step, you will be introduced to the foundational skills of collaboration that support the Data Wise Improvement Process.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 1 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 1 and why they are important.
  • Self-assess the extent to which Step 1 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by looking at a meeting agenda.

Step 2 – Teaching and Learning: Build Assessment Literacy

Description
In this step, you will be introduced to the concept of assessment literacy, a critical skill in the Data Wise Improvement Process.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 2 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 2 and why they are important.
  • Self-assess the extent to which Step 2 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by looking at a score report.

Step 3 – Teaching and Learning: Create Data Overview

Description
In this step, you will be introduced to the data overview, a strategy for moving from “piles and piles of data” to a focused priority question for your school.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 3 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 3 and why they are important.
  • Self-assess the extent to which Step 3 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by examining a data overview.

Step 4 – Teaching and Learning: Dig into Student Data

Description
In this step, you will learn the importance of looking at many different types of data, from student work to exam results to conversations with students. From this, you will be introduced to the process of identifying a learner-centered problem.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 4 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 4 and why they are important.
  • Self-assess the extent to which Step 4 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by examining a student essay.

Step 5 – Examine Instruction

Description
In this step, you will practice observing teaching and learn the importance of looking at a variety of instructional data sources.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 5 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 5 and why they are important.
  • Self-assess the extent to which Step 5 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence through watching a classroom video.

Step 6 – Develop Action Plan

Description
In this step, you will understand the importance of the action plan, how you create it, and how you implement it in your setting.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 6 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 6 and why they are important.
  • Self-assess the extent to which Step 6 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by looking at an action plan.

Step 7 – Plan to Assess Progress

Description
In this step, you will learn the importance of having check-ins of your progress as you go through the Data Wise Improvement Process.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 7 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 7 and why they are important.
  • Self-assess the extent to which Step 7 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by looking at a plan to assess progress.

Step 8 – Act and Assess

Description
In this step, you will be introduced to implementing an action plan, checking in and revising your action plan, and celebrating success.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 8 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 8 and why they are important.
  • Self-assess the extent to which Step 8 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by looking at a plan to assess progress by looking at a data overview.

Note: Your review matters 

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

FAQ

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$139.00

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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Teaching and learning skills

Description

Introduction

Learn what is involved in using data wisely to build a culture of collaborative Process to Improve Teaching and Learning

About this course

Educators have an ever-increasing stream of data at their fingertips, but knowing how to 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 book Data 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 Wise is 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.

This course provides an introduction to a rich portfolio of books, resources, training, and support developed by the Data Wise Project at the Harvard Graduate School of Education. The Data Wise Project works in partnership with teachers and school and system leaders to develop and field-test resources that support collaborative school improvement. We encourage you to explore these resources as you chart a course for using data to improve learning and teaching for all students.

What you will learn?

  • You will understand what the D,ata 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.

Syllabus on Data Wise to Improve Teaching and Learning

Data Wise is organized into the following sections:

Foundations of Data Wise

Description
In this step you will become acquainted with the course website and the role of teaching fellows and learners in this course. You will meet your fellow learners and get to know about each other’s goals for the course, their backgrounds and leadership contexts.

Learning Objectives
Upon completion of this module, you will be able to:

  • Access instructional and peer support for your learning.
  • Create a plan for managing your time effectively to engage fully in this course.
  • Explain how the Data Wise Improvement Process can be used to organize the core work of schools & systems for improvement of teaching and learning.

Step 1 – Teaching and Learning: Organize for Collaborative Work

Description
In this step, you will be introduced to the foundational skills of collaboration that support the Data Wise Improvement Process.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 1 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 1 and why they are important.
  • Self-assess the extent to which Step 1 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by looking at a meeting agenda.

Step 2 – Teaching and Learning: Build Assessment Literacy

Description
In this step, you will be introduced to the concept of assessment literacy, a critical skill in the Data Wise Improvement Process.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 2 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 2 and why they are important.
  • Self-assess the extent to which Step 2 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by looking at a score report.

Step 3 – Teaching and Learning: Create Data Overview

Description
In this step, you will be introduced to the data overview, a strategy for moving from “piles and piles of data” to a focused priority question for your school.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 3 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 3 and why they are important.
  • Self-assess the extent to which Step 3 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by examining a data overview.

Step 4 – Teaching and Learning: Dig into Student Data

Description
In this step, you will learn the importance of looking at many different types of data, from student work to exam results to conversations with students. From this, you will be introduced to the process of identifying a learner-centered problem.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 4 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 4 and why they are important.
  • Self-assess the extent to which Step 4 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by examining a student essay.

Step 5 – Examine Instruction

Description
In this step, you will practice observing teaching and learn the importance of looking at a variety of instructional data sources.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 5 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 5 and why they are important.
  • Self-assess the extent to which Step 5 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence through watching a classroom video.

Step 6 – Develop Action Plan

Description
In this step, you will understand the importance of the action plan, how you create it, and how you implement it in your setting.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 6 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 6 and why they are important.
  • Self-assess the extent to which Step 6 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by looking at an action plan.

Step 7 – Plan to Assess Progress

Description
In this step, you will learn the importance of having check-ins of your progress as you go through the Data Wise Improvement Process.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 7 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 7 and why they are important.
  • Self-assess the extent to which Step 7 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by looking at a plan to assess progress.

Step 8 – Act and Assess

Description
In this step, you will be introduced to implementing an action plan, checking in and revising your action plan, and celebrating success.

Learning Objectives
Upon completion of this module, you will be able to:

  • Identify the role that Step 8 plays in the Data Wise Improvement Process.
  • Explain the key tasks involved in Step 8 and why they are important.
  • Self-assess the extent to which Step 8 is currently being done in your setting.
  • Practice the habit of mind of maintaining a relentless focus on evidence by looking at a plan to assess progress by looking at a data overview.

Note: Your review matters 

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

FAQ

Specification:

  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Teaching and learning skills

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Data Wise: Collaborative Process to Improve Teaching and Learning
Data Wise: Collaborative Process to Improve Teaching and Learning

$139.00

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