Showing posts with label implementation science. Show all posts
Showing posts with label implementation science. Show all posts

Thursday, April 18, 2019

Coaching Systems Development; Implementation Drivers


In the previous blog post, the first of this three point series, I began connecting coaching to the Implementation Science Formula for Success.  I presented a conundrum faced by coaches across the state--they are being asked to implement the innovation without a system of support. In today’s post we will consider the Implementation Drivers and how their development is essential to supporting coaching.  

When the innovation of coaching is supported by the system drivers located on the outside of the triangle, the likelihood that coaching will be implemented to fidelity increases.  Drivers are considered, both integrated and compensatory, because they must all work together as a support net (i.e., integrated); however if one is more weakly established, the others will compensate (i.e., compensatory).  
                Let’s begin by considering the competency drivers along the left side of the triangle: Selection, Training, and Coaching  

Selection, Training, and Coaching
Selection of coaching staff is a critical cornerstone, but in my travels around the state of Wisconsin I find that it is given little consideration.  All too often good teachers are put into coaching roles under the assumption that they will also be good coaches.  The thought being that “good teachers make good coaches”.  In one example, an educator showed up to start the New Year as a classroom teacher only to be placed in a coaching role without consultation or training. 

A district that is achieving high levels of success through their coaching program, decided to open available coaching positions for anyone to apply.  This meant that individuals within or outside of the district knew what they were committing to.  Furthermore, the district carefully crafted job description under which the coaches would operate.  This simple, yet essential, document is often missing from many coaching systems.  In the same district, once staff was selected they received initial and ongoing training to support their instructional coaching work.  It is important to collect some type of data to determine training needs.  In my experience much of the training available to coaches circles around building trust and conversations within a coaching cycle.  These skills are absolutely necessary, but what is available to the coach that has already built relationships and is ready to move past coaching light?  The final competency driver is coaching.  Coaches need coaches too!  Coaching can be a very isolated position and it is important to have networking opportunities.  This can be achieved by creating peer coaching programs or hiring an external coach. 

Last summer I visited a district that had a comprehensive learning plan for their coaching team.  They met monthly and spent part of each day engaging in whole group learning before breaking into smaller study groups to cover content they had selected as necessary to their growth.  Coaches were engaged in training and meaningful dialogue with other coaches.  Coaching of coaches is critical in the implementation of the innovation of coaching in order for coaching to obtain socially significant outcomes.

Decision Support Data System, Facilitative Administration, and Systems Intervention
                The second set of drivers to consider is the organizational drivers.  Systems interventions are considered by a district-level team and consider if policies/practices and funding align to the district vision, mission and action plan.  When coaching is new, funding will often be a topic of consideration.  How will the new position be funded? How will the funding be continued?  Facilitative Administration relates to creating a culture where the new innovation will be received.  It is a rare occurrence to have a successful coaching program without the support of leadership.  At the minimum, leadership must be aware of the research and promote the coaching model to staff.  In some of the strongest programs I’ve seen, leaders themselves will engage in a coaching cycle of their own.  The use of data in making decisions is crucial to the ongoing improvement of coaching.  Anecdotal data seems to be the most common data source for coaches with teacher testimonials centered on a coach’s accomplishments.  Another data that may be regarded is student outcome data.  These data sources are both worth considering; however when taken as single sources, they don’t always tell the entire story.  Other data sources may include teacher surveys, coach observations and coaching logs.  Best practice would have the leadership team consider various sources to triangulate the data. 

Technical and Adaptive Leadership  
                The final set of drivers is in regards to leadership.   I cannot emphasize enough the importance of a supportive leader in building systems of support for coaching.  Technical leadership speaks to management. This is the where there is general agreement about what needs to be done and an understanding of how to do it (i.e., compliance).  Unlike with “technical leadership” (i.e., management), adaptive leadership seems to bring with it less certainty.  This work of changing culture, which is a tenant of adaptive leadership, is “messier”; mainly because this is where conflict lives.  We know that human beings struggle with change and the reaction to change can range from emotional to resistant.  Therefore, leaders must have the skills, persistence, and heart to lead through and past this resistance.  While both types of leadership are necessary to support the system, leaders with strong adaptive leadership styles result in the highest implementation with fidelity.
At first glance, establishing systems for coaching may seem overwhelming.  After all, it does require a lot of intentional work.  However, when considered through implementation stages, the work begins to take an evergreen shape, and even seems more manageable along the way.  In the next, and final post of the series, I will work through the steps within the stages of implementation to establish a robust system of coaching. 


Monday, March 11, 2019

Coaching Systems Development; Formula for Success


In my position as a statewide coaching coordinator, I’ve traveled the Driftless region of southwest Wisconsin, the peninsula of Door County and each of the five principal urban centers.  In speaking with coaches across the state, there are unique successes and barriers depending on the individual cultures and contexts of the buildings and districts they serve.  Some smaller districts shared a coach between all buildings, a larger district wondered how to provide coaches with individualized learning plans and another wondered how to connect with other coaches given their somewhat isolated location.  One theme that continued to surface, however was that leadership was key to the equation of successful systems of coaching.  A culture of coaching and growth mindset often hinged on the leadership and their understanding, support and development of systems to sustain coaching as an innovation.  Based on stories of success and barriers, as well as research from the National Implementation Research Network, Wisconsin has developed a worksheet to help guide the process of developing systems to support coaching.

In broad strokes, implementation science as described by NIRN is the study of systems and supporting the execution of research-based best practices.  This three-part blog will examine coaching from three different lenses of implementation science.  The first part will situate coaching within the implementation science formula.  The second considers the drivers of coaching as an innovation and the final post will dive into concrete considerations for each of the four implementation stages.   Coaching is one critical component of implementing an innovation.  In essence, it drives the work.  With so much research pointing toward coaching as a key component to the success of a program, it is no wonder that districts and schools are hiring coaches in droves.  Giving someone the title of coach; however, does not translate into a magical unicorn, but often a this is all a coach will get in terms of direction and guidance.  In fact, my recent interactions with coaches has revealed that many of them don’t even have a job description.  In these scenarios coaches are hungry for professional development, a chance to network, and a wish that they were observed based on coaching skills instead of teaching.  We must remember that coaching is also an innovation; and just like any innovation, it must be mindfully and intentionally operationalized.  


 

This diagram visually highlights the fact that effective innovations, which are effectively implemented within a context ( In the case of coaching, the enabling context may be considered the learning culture.  Is there a culture of growth mindset that will be open to partnering with a coach to improve student outcomes?) that enables and supports the effective innovations, leads to socially significant outcomes.  In many current systems, we are using coaching to support other effective innovations. One example would be the installation of literacy coaches who are hired by schools and districts to support best literacy practices.  This is a sound practice, but we must first look at coaching as an innovation in and of itself and not a driver.  Subsequently, in seeing coaching as an innovation, we may then work to build a system to support it--only then will coaching yield the socially significant outcomes that it promises.  

This concept is easier for me to understand when we examine the mathematical equation using numbers. In this example let’s use coaching as the effective innovation and assign it a 10, given that it is research-based. If we don’t spend any effort planning how coaching will be implemented, our effective implementation will be a 0.  It doesn’t matter how great the effective innovation is, it will not result in a socially significant outcome (10 x 0 = 0)  Furthermore, continuing with the example, if you take coaching and implementation has been well-planned--we’ll assign a 10--but there is no leadership to support a culture of growth, the enabling context will be a 0.  Again, the results will not get to the promise of the research (10 x 10 x 0 = 0). 

Once the team has a baseline understanding of the formula, especially the importance of effective implementation, they can turn their sites towards building the implementation infrastructure--known as drivers.  Check out the 2nd post to get more details.  

Adapted content and graphic credits to National Implementation Research Network (NIRN).  


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