For the past five years, I have co-directed the Deeper Learning Dozen, a community of practice of senior school and district leaders from school districts across North America (US and British Columbia) focused on district transformation to support equitable deeper learning for each and every young person and adult. Using innovative theory and practice from the field about communities of practice as spaces for collective learning and practice change; complexity theories such as Cynefin, emergence theory, emergent strategy, and the Six Circle Model; equity and racial justice work from the National Equity Project’s Liberatory Design process and Caroline Hill’s equiryXdesign; cutting edge performance assessment systems design from the work of the Assessment for Learning Project and the Center for Innovation in Education; and deeper learning pedagogy along with trauma informed classroom and school culture practices from such organizations as Lead by Learning, Engaging Schools, and Adaptive Schools, and the SoLD folks; we created innovative, playful, and powerful learning spaces for adults to challenge and support the development of their transformational leadership.
We focused our work in the community of practice on three principles: 1) (In)Equity is Structural, (2) Adult Learning and Student Learning are Symmetrical, and, (3) Leadership Accelerates Emergence.
Note: I wrote this essay in April of 2018 at the beginning of the work to create the Deeper Learning Dozen. I might change a few words around, but for the most part, it all still rings true.
Fullan (2016) and Elmore (unpublished) both tell us that systemic improvement will not occur simply from the development of individual teacher or leader capacity; it results from a strategic focus on the growth of collaborative capacity, the ability of adults to work together in sustained and complex interactions, focused on the ongoing improvement in the quality of their practice. That adult work must mirror the complexity of the interactions that they wish their students to experience in the instructional core, which Elmore refers to as “system symmetry.”
Elmore emphatically states that we must focus our effort on improvement in the quality of practice and experience in the instructional core first, and only much later on student achievement. Change in the instructional core will happen only if the kind of change in adult collaborative learning described above is strategically led in educational organizations. We believe that ongoing communities of practice in expanding dense social networks creates the kind of settings where this change in adult collaborative learning can occur.
What we need is an emergent and qualitatively different learning and leadership experience of participants that results in emergent and qualitatively different practices and actions.
The Learning Model:
Communities of Practice, the “curriculum,” that is, the focus of the collective learning, emerges in communities of practice through an inductive process of development:
The Growth Model:
We focus on the development of Collaborative Capacity and System Symmetry (“Quality first, then scale”). Communities of practice emerge and expand among an innovative core of people, with appropriate support and guidance. At their periphery, a community of engagement can be nurtured, people interested in the innovators’ work and potentially wanting to try out some ideas. Further “out,” a community of interest can develop that should be kept informed and increasingly engaged as they are ready (David Albury). See below for more on this idea of nested communities.
This raises the question of the need for more broadly distributed dense social networks, and ongoing networks, beyond periodic summer institutes and professional learning convenings, within which sustained relationships might develop, and teacher and leader professional growth and collaborative capacity building might occur and continue to develop. Social network theory, rethinking how community-based organizations can more effectively meet the needs of their communities, identifies key principles for network-driven improvement (Making Connections – Denver Social Network Project, 2007):
The Change Model
Implicit in both the ways in which “curriculum” (that is, the focus of the collective learning) develops in communities of practice and “growth” (scaling) occurs in social networks is the idea of emergence. Emergence is an inductive process of development, not a deductive one, that, to quote the work of Meg Wheatley and the Berkana Institute, “names, connects, nourishes, and illuminates,” “making visible the possibility of abandoning the old and jumping to the new.” This involves “hospice work, pioneering, and illuminating… and quietly protecting the space for those who are doing the pioneering work.” Inductive learning processes in social networks cannot be designed with pre-determined curriculum or assessed with pre-determined metrics for growth and impact. They must be facilitated with an eye to nurturing emergent ideas and involvements, that are “controlled and designed from the bottom-up,” where the focus of learning emerges in the social interaction of participants, and growth is driven by densely networked interactions of participants’ demands as they learn. This requires a fundamental change in the culture of learning from how educational organizations have traditionally structured or measured that culture…
This is why we quote Fullan et al. on Changing the Culture of Learning:
“The change lesson here is that we need to change the culture of learning not simply the trappings or structures. It cannot be done by policies or mandates. Transformation will only occur when we engage in the work of facilitating new processes for learning [our bolding here]. Once we have agreed on the [student] learning outcomes or competencies described earlier in this chapter, we need to provide rich opportunities to: work collaboratively; build new learning relationships; and learn from the work. No amount of pre-planning is better than the common experience of learning together while doing the work, because it builds capacity and ownership simultaneously. Simply put, we learn more from doing than thinking about doing so if we want deep learning we need to get started [our bolding here]. Thus, leadership for change is crucial—leadership that comes from all quarters” (Fullan, Quinn, McEachen, 2018 page 26).
What Fullan et al. are describing is exactly the paradigm shift that is needed and that communities of practice embedded in dense networks can provide. Thus, when we think about the learning environment we want to create, we are thinking about an emergent curriculum and emergent knowledge and skills shared within communities of practice, driven by the participants, and distributed through mutual exchange across wide networks of communities of practice that grow based on the demand of participants, not by any predetermined mechanism of control. The metrics are qualitative, not quantitative.
Terry Bailey, The Piton Foundation. Ties That Bind: The Practice of Social Networks.
Richard Elmore. Chapter Two: The Strategic Turn in School Improvement.
Fullan and Quinn. Coherence.
Fullan, Quinn, and McEachen. Deep Learning: Engage the World, Change the World.
Hi Howard, The Piton Foundation. Four Principles of Social Networks.
Meg Wheatley, The Berkana Institute. Our Theory of Change. http://berkana.org/about/our-theory-of-change/
Peggy Holman, Engaging Emergence
Beyond Communities of Practice and Social Networks, is the idea, developed by David Albury, of “nested communities.” Albury describes three nested communities that are the focus of different kinds of strategies, and have permeable boundaries between them: at the center, and involving the early adopters and increasingly apprenticing others into it, is a Community of Practice (the protected space of pioneers, in Wheatley’s terms). The next layer out is a Community of Engagement, where those who might want to try out some of the ideas of the pioneers as they see the pilots and prototypes happening. Further out is the Community of Interest, people who need to be kept in the information loop and in relation to the others, who may take awhile to adopt the new ideas, but must not be left out of the process.
There’s a blog about applying them in a school project in Australia here: https://www.innovationunit.org/thoughts/trapped-on-site-the-problems-of-scaling-powerful-new-practices-in-australian-schools-and-beyond/
And he wrote a little more about it here in a piece on healthcare: https://www.innovationunit.org/wp-content/uploads/2017/04/MYTHS-AND-MECHANISMS-1.pdf
(The “scaling innovation” frame is rather a different one from organization/system change, but there may be some interesting overlap).
(originally published November 3, 2021, at the NGLC website: https://www.nextgenlearning.org/articles/emancipatory-organizational-design-school-district-bureaucracy)
“…we have lived for so long in the tight confines of bureaucracies… that it is taking us some time to learn how to live in open, intelligent organizations. This requires an entirely new relationship with information, one in which we embrace its living properties. In newer theories of the brain, information is widely distributed… And memories, it is now thought, must arise in relationships within the whole neural network. [I]nformation is stored in these networks of relationships…”
“To create better health in a living system, [then,] connect it to more of itself. When a system is failing, or performing poorly, the solution will be discovered within the system if more and better connections are created. A failing system needs to start talking to itself, especially to those it didn’t know were even part of itself.”
In Part One of this piece, I asked if we were learning from the pandemic. While I noted the emergence of numerous new practices that could be amplified and help create a new, more learner-centered, more equitable system, I also noted the immense pressure across the educational system to return to the way things used to be. I explored why that was the case, concluding…
It is a tangled web of interacting systems that has withstood decades of efforts at reform. Even with all we’ve learned, these systems are stubbornly reasserting themselves so that a lot of supposed reinvention is actually just recreating the status quo. It is the frenetic energy and inertia of a system designed not to change.
Sadly, this “regression to the mean” has become even more pronounced in the two months since I wrote Part One. Students and teachers are suffering greatly as a result. Who is paying attention, and attempting a restart that is restorative, centers student and teacher health and wellbeing, engages student voice, focuses on racial equity, and emphasizes healthy relationships between staff and students? And who is seeing that as ongoing practice, not just a week at the start of school?
In my previous article on this topic, I critiqued this tangled web as inherently suffering from both a technical/bureaucratic worldview and a racist worldview that are the product of Western White supremacy culture. In contrast, dynamic learning environments, such as the kind of deeper learning described by Mehta and Fine, and Michael Fullan and his colleagues, involve an ever-deepening inquiry into what we are learning and how we enact that in our practice, at all levels of the system. Deep inquiry and dynamic learning environments could help us learn from the pandemic instead of pushing us to return to a system that was inequitable by design and wasn’t working for far too many young people and their teachers. This kind of dynamic and ever-deepening inquiry into learning (by students, by teachers) requires an emancipatory organizational design.
I am borrowing the term “emancipatory” from the work of Jürgen Habermas deliberately to make the point that neither a purely technical definition of learning (the Newtonian machine bureaucracy model that sees students as products) nor a professional/practical approach (that treats students like patients or clients) is sufficient for the kind of dynamic agency that deeper learning requires.
An emancipatory approach takes an ever-deepening critique of these technical and professional components. It also critiques the social constructs in which they are embedded (e.g., critical race theory is one approach to this kind of inherent critique) and seeks to respond to emergent agency on the part of students and adults alike. It then engages in an ongoing search for new purposes to support that agency.
An emancipatory organizational design is a series of fractals (that is, symmetrical forms at all levels) of what we want to see in the learning environment. Elmore believed that unless everything in the educational system surrounding the learning environment was coherently and symmetrically focused on supporting deep learning, then it would not happen. In the work we are doing in the Deeper Learning Dozen, we add that unless everything in the system focuses on a sustained and deepening inquiry—purpose seeking—into how to make that kind of learning happen for each and every young person and adult, it will not happen equitably. Thus the emancipatory organizational design provides for a symmetry of experience—equitable deeper learning—structured within and across the entire educational system.
An emancipatory approach and organizational design—an agile and nimble school and district organization—would center symmetrically on supporting the transformational work of equitable deeper learning, even during a pandemic. It would have the capacity to learn from what is emerging on the ground as effective new practice. It would be better prepared to respond to this urgent and immediate need for seeking a new purpose and finding new systems to enact that purpose (as opposed to the frenetic “hamster wheel” kind of urgency Mehta describes in his recent blog post). Such a system would recognize and become the fractals of the emerging learning experiences and be able to support them in an emancipatory way.
What might be the characteristics of an emancipatory organizational design that symmetrically supports equitable deeper learning? In Part One of this blog post, I suggested some key characteristics. I will reiterate those here, and then elaborate on them and share some examples, ending with some of the many other possible metaphors that various organizational theorists have proposed. The characteristics are:
Communities of practice are effective in supporting both social learning and the spread of innovation and new ideas about teaching and learning. They are places where people come together around a shared passion to make a difference, establish an ongoing sense of personal and group identity, and create some protective but permeable boundaries around that identity and the vulnerable learning and emerging practice that is its purpose. In an emancipatory organization, communities of practice serve as each person’s “home base,” whether those people are our young learners or all the adults in the system. Examples of student communities of practice that could support deeper learning include the EL Education “crew” or the advisories that are central to the design of Big Picture schools like The Met. Adult communities of practice should mirror these student forms. This is consistent with the work on growth culture, or “deliberately developmental organizations,” by Robert Kegan and Lisa Lahey. Tony Schwartz (Create a Growth Culture, Not a Performance-Obsessed One) describes a “growth culture” as including:
- “An environment that feels safe, fueled first by top leaders willing to role model vulnerability and take personal responsibility for their shortcomings and missteps.
- A focus on continuous learning through inquiry, curiosity and transparency, in place of judgment, certainty and self-protection.
- Time-limited, manageable experiments with new behaviors in order to test our unconscious assumption that changing the status quo is dangerous and likely to have negative consequences.
- Continuous feedback—up, down and across the organization—grounded in a shared commitment to helping each other grow and get better.”
Laura Flaxman, Robert Curtis, and Arun Ramanathan recently wrote: “In An Everyone Culture: Becoming a Deliberately Developmental Organization, Kegan, Lahey, and their co-authors… identified the key features of… organizational cultures and placed them into three interlocking categories: Home: a sense of community and trust; Edge: the challenge, development, and growth every employee needs to succeed; and Groove: the everyday practices, rituals, systems, and routines baked into the life of an organization.” Communities of practice address all three.
Every person in a school and district, whether a young person or an adult, needs a home base that serves as a place for shared passions about the work, a community and relationships that create a safe and trusting place for learning, and a place to develop and iterate their knowledge and practice together with others. Communities of practice have stable rituals and routines that support these needs. In these highly collaborative settings, people develop, iterate, and improve their practice. Recent writing by Etienne and Beverly Wenger-Trayner about what they are now calling “social learning spaces” defines these spaces in this way:
“a particular experience of engagement that takes place among people in pursuit of learning to make a difference… The term social reflects the centrality of relationships and interactions among people…. structured by a desire to push a joint inquiry together…. [in] a specific ‘enclosure of engagement’…. Their participation is not perfunctory or merely compliant but driven by their need to get better at making that difference… Participants engage with each other at the leading edge of their knowing how to make that difference…. [T]hey engage their uncertainty in the social learning space.”
Wenger-Trayner continue, “Viewing learning as value creation…. places the emphasis of learning on learners caring to make a difference rather than on knowledge, skill, or curriculum as commodities. It shifts the perspective from the inert to the living…. Learning to make a difference has to go through practice, where social learning reveals the value it creates through action.”
As I described in Part One, traditional schools and districts are organized in ways that can and almost always do very easily slide into rigid balkanized spaces of subject area departments, grade levels, divisions, offices, programs, and initiatives, with little to no communication between them, and with different, and often conflicting, visions, procedures, and reward and accountability systems for accomplishing the work. These organizational forms are meant to demand order and conformity. They aren’t designed for sharing information nor building effective and humane relationships, both necessary for the development of a shared sense of purpose and identity. They are definitely neither agile nor nimble spaces able to respond to the ever changing needs of learners. All of these dynamic human processes, however, are necessary for encouraging innovation and transformation.
The organizational design that most effectively supports the spread of innovation is communities of practice situated within dense social networks. “Dense” refers to the number of connections across communities of practice as well as the volume of flow of ideas and information through those connections. The challenge for organizational leaders is to keep communities of practice from becoming self-sealing and insular, support learning from “critical friend” interactions with others doing similar work, and encourage the identification and lateral spread of innovations that help the whole organization improve.
This is consistent with Fullan’s notion that system change (as opposed to just individual change) is driven by focusing on social capital development in collaborative learning spaces first. It is also consistent with David Albury’s ideas about scaling as more of a process of the ongoing proximity and thus interaction of different kinds of learning communities: communities of practice (pioneer innovators), nested within and interacting with communities of engagement (early adopters), similarly nested within communities of interest (people who want to keep informed about what is going on), where people experience each other’s work in an ongoing way. I will describe an example of this below in the section on Combining to Form New Organizational Systems. Wheatley and Frieze describe the leader’s role here as to notice, name, connect, nurture, and illuminate the work of these communities of practice. That happens in ever expanding dense social networks.
Network innovation and social learning theory and research (such as Murray and Millett, Vander Ark and Dobyns, and Lieberman and Wood) have shown that ideas develop and spread faster when well-resourced “nodes” of learners experience the following:
In addition, an orientation to network/social learning requires enacting these Principles of Social Networks:
This sounds a lot like Wheatley’s open and intelligent relationships within a highly distributed neural network. If you want a couple of great metaphors for the idea of dense networks, the research on starling murmurations (and more recently on midge swarms) and the notion of “near-criticality” in complex or chaotic systems (an emerging order that is not too loose and chaotic, nor too fixed and rigid), or the idea of distributed intelligences in interconnected sensor array networks, is quite intriguing. A positive example in human networks is the effect of guerilla gardening on the improvement of urban neighborhoods. Another, not so positive, example is the way in which illegal dumping in a neighborhood leads to increased crime in that neighborhood.
Some routine work just needs simple ways to do it that don’t require much change over time. They just need to be the right systems to get the job done. That leaves most of our organizational energy for the deeper, more complex learning and practice development. Please note these are probably not offices with their own separate identities, cultures, value systems, and often not very permeable boundaries; they are more likely mapped patterns of process and work flows across different roles, of information, resources, or funds, designed to serve more complex work. Purchasing, or what outside of education is called supply chain, is one example. First response checklists for responding to crises is another.
These systems operate in what the Cynefin Framework literature refers to as the “simple domain,” where known technical solutions can be matched to known problems. However, even these systems can be improved over time if good feedback systems are built into how they operate. Doing that work takes us out of the simple and into the more complicated or complex domain of human identity, shared information, and effective relationships. An example of this kind of system improvement is improving purchasing so it actually supports teachers both affirmatively and efficiently. (A while back I wrote a rather caustic critique about how the lack of effective process mapping and an understanding of work flow, combined with a lack of a culture of supporting students and teachers, plague many purchasing departments in educational bureaucracies. Partly this is an artifact of the balkanization described above.)
“Student voice, multiple ways of knowing and learning, and community cultural wealth” as described by Shane Safir and Jamila Dugan in their book, Street Data, are foundational kinds of information/lifeblood that can be the basis of learning in the communities of practice, and the flow of information and ideas across the networks. How can we become mobilized and interconnected so we have access to these kinds of lifeblood?
Communities of practice need to ground their learning in shared information and evidence. Safir and Dugan advise us to use “street data” along with the “map” and “satellite” data we are more used to relying on. Using those data should involve the “radical inclusion” (Caroline Hill) of traditionally marginalized or silenced voices, such as directly involving low-income students of color and their families in “co-design” of the transformational practices we are developing. They describe “street data” thusly:
“Street data is a decolonizing form of knowledge that honors Indigenous, Afrocentric, and other non-Western ways of knowing. Street data emerges from human interaction, taking us down to the ground level to see, hear, and engage with the children and adults in our school communities—particularly those at the margins…. To that end we offer you three beliefs to guide your journey:
- Data can be humanizing
- Data can be liberatory
- Data can be healing” (p.19).
Beyond the data we gather, communities of practice need to ground their learning in collaborative analyses of that evidence. Cynthia F. Kurtz, in her book, Working with Stories, describes a process of participatory narrative inquiry that emphasizes “raw stories of personal experience; a diversity of perspectives and experiences; the interpretation of stories by those who told them; catalytic pattern exploration; and narrative group sensemaking.”
And in addition to gathering street data and engaging in collaborative analysis, communities of practice need to be aware that they go through developmental phases and cycles of learning. Each phase and cycle has a different emphasis, a different need for facilitation support, and creates a different kind of value to aid in accomplishing the community’s purposes. Wenger-Trayner discuss a range of these cycles where inquiry results in changes in practice that provide evidence of value creation of various kinds (as opposed to just seeking evidence of “student learning outcomes”) from immediate value, to potential value, to applied value, to realized value, to transformational value, that can focus and drive additional learning and practice improvement. Understanding these types of value creation might help take the pressure off educators, school boards, and policy makers to always be seeking the next perfect test of student learning outcomes.
The kinds of inquiry that I think are at the heart of the deeper learning and increasingly equitable learning spaces we want to create, both for young people and for adults in our schools and districts, all require different assumptions and habits of mind and heart about what counts as evidence and how we go about gathering and using that evidence in the service of equitable whole organizational learning and transformation. The challenge, then, is how we will use this expanded notion of evidence in support of that transformation. Most likely this will involve nested and iterative cycles of inquiry “from the classroom to the board room,” across schools and districts. And then what we often think of as fixed systems and infrastructure need to change to become dynamic enough to support transformation. I discuss those next.
Communities of practice are the home bases that will grow and develop organically and over time as their members’ passions, purposes, knowledge, skills, and practices grow and develop. However, the networks they exist within, and the ways that members will need to come together across communities of practice to work on specific tasks, must be emergent, contingent, and mutable. The networks must be based on purposes that emerge from members’ ongoing analysis of the evidence of the needs for student learning experiences and teacher pedagogical development. This should be true of how students come together to pursue their deepening learning inquiries as well.
Then an agile and nimble school and district system should develop the systems and infrastructure to support that effort. This includes time, space, and resource allocation, that support enactment and iteration of those emergent practices into their improvement, as well as getting other existing systems that are barriers to enactment out of the way. And then when those systems and infrastructure are no longer needed or serving their intended purposes, to “hospice” them. We do not need to continue the “geological residue of generations of other people’s ideas about what schools need to do,” as Richard Elmore said.
A fine example of this kind of emergent system is embodied in the Kettle Moraine School District in Wisconsin. Now-retired superintendent Pat Deklotz worked with the board, her colleagues, her students, and her community for years to create an inclusive community-wide and ongoing planning process. Over time, nested within clear values and community wishes for student learning, they created a “culture of yes.” Pervasively across the district, people in leadership roles and teachers approach their work by starting every conversation about a request to try something with “yes, we can do that,” followed by, “now let’s sit down and figure out how.” In addition Deklotz led the way to a culture that celebrates failure as necessary along the path of learning. One principal I met starts every speech he makes by admitting to his audience that 90 percent of the time he tries something new, he fails. This culture of risk taking in learning at Kettle Moraine pervades both adult and student learning as well as emergent and contingent systems to support it.
“In open systems [all human systems are open systems, in that they take in energy from the surrounding environment, use what they need to maintain or grow themselves, and the excrete waste energy back into the environment], in far from equilibrium states [where new systems and infrastructure are being created to serve emerging purposes and needs, thus where transformation is happening], new orders emerge spontaneously.” –Prigogine and Stengers
There is a great series of graphic images from the field of complexity theory called “strange attractors,” originally developed by Edward Lorenz. I use one of these images, called the “three winged bird” to represent the strange attractors in organizations that people gather around to discuss, and then to create shared meaning and practice, in this case about values, community, and accomplishments. But there are plenty of others. The story I told in Part One about the environmental sciences academy that wanted to redesign their program of study was about a strange attractor for the academy teacher team, the district pathway coach, and the science curriculum specialist. In Vista Unified School District, outside San Diego, the district supports the formation of “sprint teams,” strange attractors of specific, time-bound projects that aid in the overall district transformational effort, that attract people from across schools and roles who want to work on them together.
These convergences around specific tasks and learning related to them need to remain always open to emerging, dissolving, or transforming, agilely and nimbly, as new purposes emerge from a student’s, a teacher’s, a school’s, or a district’s inquiry and learning. Because there will always be many more than one strange attractor in a school or district, there is a wonderful kind of “wobble-i-ness” that accompanies them, and so the organization that emerges needs itself to be more wobbly and less fixed and determinant. These convergences emerge and disappear, people move from one to another as their sense of purpose and passions change. And once again, they need to transcend traditional school and district boundaries.
Part of the role of leaders, then, is to watch these strange attractor groups forming and dissolving and guide them and also hold the space so that they can serve the overall vision of the district. But that role should be held lightly, because the leader may not always know exactly what might emerge from their wobbly existence and interaction. That is, “wobble-i-ness,” and the patterns that emerge from it, are indeterminate.
Every time a new group converges on a new strange attractor, a new opportunity emerges to move from “I” to “We” and from emergent purposes to emergent work, learning, and new practice. Consequently, schools and districts need space and time to develop new individual and collective identities. They also need to create spaces, connections, and relationships in order to engage in those new exchanges of ideas and information, new meaning making, and new practice development. And these new spaces for shared identity development and emergent work require new boundaries. Those boundaries require attention and care (by members, by organizational leaders) in making sure they are solid enough to protect the creation of shared meaning and the safe emergence of new practice within the emerging group, but permeable enough to assure the ongoing flow of ideas, information, feedback, and the illumination and championing of their new practices across the larger networks.
District leaders want these emergent groups to feel efficacy and interdependence and to be effective in what they form to accomplish. Teachers who want their students to come together in teams to work on compelling problems must address the challenge of supporting team identity to form out of the individual identities of very different students. In one case I know, a community mapping activity that was a part of a unit on social determinants of health turned up evidence of huge disparities in the amount of illegal dumping depending on whether it was in a low-income neighborhood of mostly people of color or a higher income neighborhood of mostly White people. This disparity incensed the students so much that they dove into a research effort supporting a community action project in collaboration with several community groups. Students then presented their research and their demands for action to the mayor. If the teachers involved had not made the effort to pause what they thought the unit was about, guide the team formation, open up the space in their curriculum for the new learning to emerge, and support the connections and relationships to form within the teams and with the community action groups, none of this powerful experience and learning could have occurred.
New organizational systems operate in the complex space of a different orientation to “the way things are,” and we should use them to support a liberatory and humane pedagogy for our children and ourselves and for our future generations. Certainly emergent practice can become established practice through the iteration of reflection on how well it achieves the purposes we have for it, though I don’t think I know a good teacher who ever thinks their practice has become perfect. Once practice becomes established and is serving its intended purpose, the leader’s responsibility is to bring collections of practices into shared public discourse—that is, knowledge and practice held lightly and dynamically in the social learning space, as Wenger-Traynner describe it, not an inert and fixed commodity like an adopted curriculum. Leaders can support evidence gathering, sense making and iterative cycles of improvement around these collections of practices, and then they can create the systems and infrastructure to support them.
An example I saw play out in a small school in Oakland involved an emerging vision among staff. They envisioned becoming a college and career pathway, with a series of related projects across the grade levels that led to and culminated in a graduate capstone project and performance assessment. Most of the grade-level teams had been working on student projects, but these were not aligned with either the pathway theme or the imagined capstone. A ninth grade team, however, was passionate about developing such a project, and the school administration gave them the time and resources to get to work on it. One condition was that every month they would present their developing work to the rest of the staff in a “critical friends” consultancy or tuning protocol. The leadership team was deliberate in having the ninth grade team share their work not as examples of best practice but as work in progress that needed helpful feedback from the other grade-level teams. In this way, the other teams wouldn’t feel that their work was inadequate, and they would see that they were helping the ninth grade team with crucial feedback. In addition, as David Albury describes it, the ninth grade team, as a community of practice, was able to spread interest and enthusiasm for their innovative work to others who might not be quite ready to take that risk (as a community of engagement), but could slowly come to see that it was possible to develop their own versions of it.
This is a process that Kevin Kelly refers to as “controlling from the bottom-up,” and “chunking,” functions that are specific to network organization and learning. It achieves system-wide coherence in a very different way from that which we suppose we can get by purchasing and then mandating a new curriculum or test from the top down. As I said above, though, these larger systems must always remain self-aware, self-reflective, and able agilely and nimbly to change or dissolve in order to support the constantly changing environment and ever-deepening inquiry and learning of each and every one of our young people.
If we are looking for metaphors of a different way of organizing schools and districts from the traditional machine or professional bureaucracy metaphor, many exist:
The list goes on and on, opening up possibilities for reconceiving organization beyond just the Western bureaucratic and hierarchical image, but few of these ideas have penetrated educational organizational thinking or actually changed “the way we do things.”
The images I described above of a more dynamic, complex, emergent learning environment require a complex and emergent organizational form, one that continuously learns and evolves as the learning environment does, one that is agile and nimble, one that innovates rapidly in response to emergent learning needs. Shane Safir describes that organizational environment this way: “In a sense, this is an ecological project. We have over-farmed the land and undernourished our students and educators while failing to water the roots of a healthy system: student voice, multiple ways of knowing and learning, and community cultural wealth.”
This perspective moves us from the Newtonian metaphor of the control of machines toward the metaphor of the gardener, but even that assumes too much control and ordering of experience, too much regulation of the system, and even a kind of agribusiness orientation to how to make plants grow well. It’s individualistic and deterministic: individual plants in rows, given appropriate measures of nutrient inputs and artificial pest controls, similar to our tradition of rows of desks in a classroom and the banking model of learning. The gardener metaphor does not necessarily frame the garden space as an ecosystem of complex interacting factors. The rewilding movement in Scotland seems closer to what we want.
Rewilding protects and stewards new spaces where biodiverse native forests can regrow, as opposed to the regimented monocropped straight rows of same species in industrial forests the Scots grew a century ago for militaristic and immediate economic purposes. Cheryl Ka‘uhane Lupenui and Gary Chapin wrote about natural ecosystems as a metaphor for educational reimagining. So, perhaps a better metaphor would be stewarding an ecosystem, or possibly just creating a safe space where the “rewilding” of education might occur. All of these are part of trying to break free of the overly rigid rules and mindsets that in our more traditional systems have ended up restricting thought, play, invention, and growth, not to mention denying a sense of belonging and worth to so many of our students and families. Isn’t the learning environment we truly desire, instead, one that is rich and fertile and biodiverse and welcoming of all our complexity, like an old growth forest?
As I concluded in Part One, these key characteristics for an alternative organization, and the freedom it might allow, are not a territory for the faint of heart. It will take great leadership courage to create and sustain such an organizational territory. And none of this can be imagined if we can’t get the metaphor of the machine bureaucracy and the command and control hierarchy of value and worth out of our minds, and imagine a more humane, equitable, dynamic, biodiverse ecosystem of learning and development in its place. Peter Senge offers a way forward for the courageous leader: “The essence of the role will be the [leader] as researcher and designer. What does she or he research? Understanding the organization as a system and understanding the internal and external forces driving change. What does she or he design? The learning processes whereby managers throughout the organization come to understand these trends and forces.” Are we ready to make this future compelling?
Everywhere these days you see schools and non-profits being asked to prove that they are getting results by gathering and presenting data… tons of data. Foundations want to know that their investments are paying off. State and Federal Education Agencies want to assure that all children are learning. Businesses want minute to minute analytics and dashboards for their shareholders. We don’t seem to question this increasingly urgent push to having access to more and more data about every aspect of our work. And yet, as the data pile up, we feel more and more inundated with data, a veritable tsunami of data, and we wonder if we really can make sense out of it all, in any meaningful way.
Many non-profts and schools are facing an increasing feeling, and reality, of data overload. Teachers feel beat up with data. Particularly in public education, we seem to use data more as a hammer than anything else. And yet, almost everyone wants more data. Almost no one is asking, “To answer what questions?” Even harder, “What data do we really need to answer those questions?” And, “How would we know if those data actually answered our questions?” Let me make an emphatic point: That we have access to more data than ever does not mean that we can necessarily answer important questions about the effectiveness of our schools and other organizations any better, nor does it mean that we have to use, or even can use, all of those data for some important purpose.
As we now know (and many were saying all along), over a decade of time and huge sums of money were invested in No Child Left Behind, mostly on the questionable strategy that state standardized tests used for accountability would improve student achievement. This massive effort resulted in only modest gains in some places, while at the same time demonizing and demoralizing teachers and schools, and setting them up as targets of reform rather than putting that time and money into developing their professionalism and their professional associations’ capacity to raise their own standards of practice (as a recent article by Jal Mehta in the Harvard Ed Review notes). A similar frenzy seems to be gripping the foundation and non-profit world, to produce more and more data about the programs funded by the foundations. In a parody of this frenzy that is not too far from the truth, non-profits could end up spending more time reporting on their work than actually doing it. It is certainly true that many felt the hours and hours of test prep and testing that we did in education for NCLB, not to mention the narrowing of the curriculum just to focus on what the tests were supposedly measuring, represented a sad waste of time and distraction from real learning. This is not a sustainable system.
So am I saying that data are not useful? Absolutely not! Data can help provide a compass, guiding us with a north star and a bearing toward where we want to go. Data can act as a roadmap (as long as we remember that the map is not the territory!). Most important, data can serve as part of a reflective cycle of inquiry, a cycle of continuous improvement, at all levels in the educational system, and in our non-profits. However, we will want to consider carefully what questions we want to address and what data will meaningfully and effectively address those, as we shift toward a more balanced use of data. And we will want to explore what sorts of evidence we really need to address those questions. We will want to expand our notions of what counts as data at the same time that we are pruning back our massively overgrown data “tree.” And we will want to consider some ways that we think about and engage with data as well. It’s not just a technical question we are addressing.
So, first of all, we need clarity on our questions, and on who is asking them, and on their purposes. Are we exploring a classroom or other learning experience, or a whole school’s effectiveness? Are we looking at program effectiveness? Are we determining the extent to which organizational systems are well matched to program processes and desired outcomes or accomplishments? Are we examining leadership? Are we prototyping a new process or product?
And then, to borrow from Habermas, we might consider data to have a technical aspect, a social or practical aspect, and a critical aspect.
Some technical questions we will want to ask are:
Some social/practical questions we will want to ask are:
Some critical questions we will want to ask are:
If we work to become clear about the Theory of Action of our program or non-profit or educational project (how do we see the resources we have and our choices of what we do as leading to the outcomes or accomplishments we want?), then we have a solid place to begin to craft good questions about our work that can drive good choices of data to use in our assessment, in our quest for continuous improvement, using a cycle of inquiry. That inquiry provides a setting for us to engage as professionals in collecting useful data about our work, analyzing those, making meaning out of the analysis, choosing practices that will help us improve, fine tuning our work, and building a higher quality knowledge base to drive our practice. This embedded reflection and knowledge stewardship is at the heart of real improvement.
So, again, I ask, are you a fan of big data? If so, what is your question? Taking into consideration what I have said above, you may find yourself using less data, but getting more out of it. That would be sustainable.