Measuring Impact

Tools and processes to measure deep learning and its impact on learners.

We believe that deep learning, regardless of country, education system, and national priorities, is what learners really need in order to thrive in the modern world. NPDL’s Suite of Tools, a rubric-based monitoring system, allows us to track the impact of deep learning and report our collective findings.

Measuring Impact in Three Key Areas

DEEP LEARNING OUTCOMES
Teachers are using the Deep Learning Progressions to measure and track students’ progress in developing deep learning competencies.
NEW PEDAGOGIES
Through the design of deep learning experiences, teachers are identifying and developing New Pedagogies that accelerate deep learning outcomes for students.

Teachers share their experiences through the submission of Deep Learning Exemplars (see below), which describe real-life learning experiences and their impact on learners. Once submitted, Exemplar moderation processes at the school, Cluster, and global levels demonstrate our progress and further strengthen our capacity to design deep learning.
DEEP LEARNING CONDITIONS
The Deep Learning Conditions Rubrics operate concurrently with the Deep Learning Progressions to allow measurement of how school, Cluster, and education system conditions support deep learning outcomes.

Deep Learning Exemplars

Deep Learning Exemplars are examples of learning design, implementation, measurement, and outcomes that provide a description of how deep learning develops and what it looks like in action. The deep learning experiences take place in schools throughout NPDL, and are then described by teachers in their submission of documents, files, reflections, videos, or any other means of description.

Check out the video to learn about a deep learning experience from Millgrove Public School in the NPDL Canada Cluster, which describes teacher Jodie Howcroft and her students’ journey to discovering “What Makes a Great Community?”

Global Reporting

As NPDL continues to grow, deep learning continues to have a greater impact on the lives of learners both in school and beyond. The 2018 NPDL Global Report shares this impact along with key findings to inform the direction of the partnership. The report’s contents are as follows:

Another Year of Deep Learning – Learn about the Deep Learning Series, NPDL’s Deep Learning Labs, and the new capacity building supports available to NPDL participants.
A New Look for New Measures – Take a look at some of the data and findings collected throughout the NPDL partnership in 2017-18.
A Journey Around the World – Explore deep learning experiences that are bringing the 6Cs to life in each of NPDL’s clusters of schools.

Read the 2018 NPDL Global Report to learn how participants across the globe are making a difference for learners.

Global Report

Global Research Questions

Is Deep Learning really a “game changer”?
Are the deep learning competencies meaningful and effective? Are these the competencies needed to send learners out into the world better able to “hit the ground running” as employees, entrepreneurs, and citizens? Is there anything missing?
Are “New Pedagogies” central in effecting change?
If teachers learn and use these well, can they really build deep learning competencies in their students? Can they do it deeply enough, and with even their most difficult-to-engage learners?
Have we built the kind of capacity needed to bring deep learning to life?
Where, where not, and why? Are there any “base minima” that we should be aware of before inviting new clusters to join (i.e., baseline conditions needed for success)? Is there a minimum investment needed to make the capacity building piece strong enough to bring Deep Learning to life?
How well have we (as a Partnership) created genuine system change?
What has worked to achieve real system shift, what hasn’t, and why?