Beyond identifying areas for improvement in schools

Using the NILS™ online platform to accelerate improvement work


We confront a growing chasm between rising aspirations for our educational systems and what schools can routinely accomplish. Although educators at the classroom, school, and district levels are expending significant energy generating and testing promising interventions, we often observe the failure to scale up research-based knowledge across varied contexts. This interactive half-day workshop presents a way to move from trying to get better to getting good at getting better. We will introduce an improvement science approach that focuses on learning-by-doing to make progress toward a specific aim on a shared problem of practice by leveraging the power of networked communities. We will present how to apply the six core principles of improvement and organize improvement work through an online technology called NILS™, emphasizing that (a) knowledge about the innovation itself and associated know-how around effective implementation flow through the interpersonal relationships between different actors; (b) attending to variation in performance and seeing the system that produces the current outcomes help us to identify areas for improvement. Utilizing NILS, participants will engage in structured activities and data exercises, learn how to identify areas for improvement from data, and create a driver diagram as a theory of practice improvement.

Date and Time:

Monday, March 4, 2019

9:00 AM - 12:30 PM

Proposed Agenda:

1. Introduction (09:00 - 09:30)

· Improvement Science

· NIC life cycles

2. Launch the Simulation (09:30 - 10:00)

· Simulation context & problem

· Forming a team

· Data conversation protocol

3. Understanding the problem (10:00 - 10:25)

· Problem analysis

20 min BREAK (10:25 - 10:45)

· Sip tea/coffee (with snack)

4. Focusing Collective Efforts (10:45 - 11:10)

· Consolidating learning

· Formulating an aim statement

5. Change Ideas and Testing (11:10 - 11:45)

· Developing change ideas

· Formulating a driver diagram

· Running a PDSA

6. Evidence in Improvement Science (11:45 - 12:10)

· Multiple ramps of PDSAs

· Assessing confidence to scale and spread

7. Unpacking NILS (12:10 - 12:20)

· Current features and future roadmap

8. Closing remark (12:20 - 12:30)

· Summarize key takeaways

· Final reflection

· Q & A


Senior Associate, Director of Analytics & Collaborative Technology

Twitter: @jmanai

Associate, Director of Analytics

Twitter: @hryamada

Partner Success and Implementation Manager