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.
(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?
(originally published July 19, 2021, at the NGLC website: https://www.nextgenlearning.org/articles/alternatives-to-failed-school-and-district-bureaucracy)
“…there was a realization that freedom is not for the faint of heart. It is something one has to live into moment by moment, more akin to spiritual practice than the power struggles central to social movements, more focused on our internal relationship to power than the external ones, which are reflections.”
–Cyndi Suarez, from The Power Manual
“Let’s make the future compelling.”
–adrienne maree brown, in Emergent Strategy: Shaping Change, Changing Worlds
Around North America I hear the voices of school leaders, teachers, superintendents, students, and families talking about all that we have learned during this long pandemic year, what we have learned from this “blameless disruption” of the way school is supposed to be. I hear how the pandemic forced into stark relief the inequities of our current educational system as well as its longstanding failure to create compelling, meaningful, engaging, and deep learning experiences for each and every student. When these issues were exaggerated by the challenges of distance and virtual learning, they resulted in many students disappearing. Yet at the same time, in contrast, I hear how powerful learning continued in schools and districts that had already made great strides in building strong and trusting relationships and a deep culture of collaborative adult and student learning, even with the immense challenges of pivoting overnight into distance learning, the challenges to continue to provide meals, computers and internet access, health care, emotional support and counseling, and even housing for our most vulnerable populations. We have been given the once-in-a-lifetime opportunity to learn what efforts to amplify, what to discard, and what to create going forward.
This has been a great experiment. The list of what we have learned is long and varied. Teachers and students across the country have raised their voices, sharing what could be different. It seems that there is a wave of innovation and optimism sweeping through our public education system that finally we might achieve the transformation we so need.
However, it also seems that this newfound freedom “is not for the faint of heart.” Even as we reflect on what might be different after this pandemic, I see these same school people, students, and families throwing up their hands and shaking their heads in consternation and dismay, as, one piece at a time, the old ways reassert themselves in lockstep. Irresistible forces are seemingly conspiring to return our schools as fast as possible to a past that we know did not work. State standardized tests, regulations about seat time and instructional minutes, teacher contact hours and student:teacher ratios in union contracts, school board policies and unexamined assumptions about teaching and learning, worries about “learning loss,” mandates and compliance procedures, funding streams and regulations, district silos and initiatives with competing priorities and evaluation criteria, school schedules, bus schedules, graduation requirements for numbers and types of course completions, grading policies…. The list goes on and on. 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.
The critiques of this system are not new. They go back generations. Two competing aphorisms about our system are often tossed off rather glibly, without digging deeper into what they might actually mean or require for things to be different:
My take is that both these aphorisms are accurate, and we need to explore why in order to find a way to overcome this status quo.
In a 2013 article1, my colleague Jal Mehta wrote, “The root problem is that the educational sector as a whole is organized around a core system that functions as a bureaucracy rather than as a profession; we are trying to solve a problem that requires professional skill and expertise by using bureaucratic levers of requirements and regulations.”
Below, I will discuss why it is that functioning as a bureaucracy rather than a profession is a problem that results in both of the aphorisms being accurate. I show that the overarching culture, structures, routines, and underlying beliefs and assumptions of the educational bureaucracy don’t—and can’t—support addressing the many challenges we face to transform schools to make it possible for each and every young person and adult to experience equitable access to deeper learning. Mehta mentions variability in teacher skills, failure to scale good practice, lack of infrastructure supporting practice improvement, distrustful and unproductive relations between policy makers and practitioners…. this list also goes on and on.
I will discuss the ways that districts have become balkanized through “the geological residue of generations of other people’s ideas about what schools need to do” (Richard Elmore, unpublished, undated chapter). Elmore calls these layers, “serial, incoherent, and persistent,” and shows how they create the incoherence across compartments that is the most serious obstacle to large-scale improvement. I will discuss how the hierarchical model and this balkanization are at the base of the problems Mehta names as well as the reason for the frenetic energy and inertia of a system designed not to change that I described above.
While the machine bureaucracy is excellent at getting quality cars manufactured, the professional bureaucracy is actually not very good at getting anything done.
Why is this the case? Max Weber wrote succinctly about the design of the bureaucracy in the late 19th century: “Bureaucracy develops the more perfectly, the more it is ‘dehumanized,’ the more completely it succeeds in eliminating from business love, hatred, and all purely personal, irrational, and emotional elements which escape calculation.”2 The goal was to remove any possibility for human error, individual abuse of power, or impulsivity in decision-making (an Enlightenment reaction to the abuses of power by kings and priests), as well as to create human systems that could be based on the aggregation of individual human knowledge, and withstand the buffeting of social or political winds. To Weber, the bureaucracy was the perfect organizational analogue for what he referred to as “the iron cage of modernity” that “traps individuals in systems based purely on teleological efficiency, rational calculation and control.”3 The modernist ideal was that all social orders, hence organizations, could be based on our capacity to “measure, predict, and control” anything of worth.
The sad irony here is that, while the machine bureaucracy is excellent at getting quality cars manufactured, the professional bureaucracy, attempting to emulate the machine bureaucracy, is actually not very good at getting anything done in the more complex realm of human development. The reason is that the various subsystems in the educational bureaucracy are disconnected from each other in the way the larger system operates, which Weick4 and Glassman5 refer to as “loose coupling.” So there is a technically rational superstructure, and then all kinds of random activity, for good or bad, going on underneath it, with no one monitoring it. The only thing the professional bureaucracy of K-12 education is good at, then, is maintaining the inequitable and mediocre quality of education it was originally designed to produce.
But this critique, however shocking, is still insufficient for our understanding of the two aphorisms or how we might transform this system into one that enacts what we are now learning about equity work and deeper learning. There are several additional perspectives that might help.
In their new book, Street Data: A next generation model for equity, pedagogy, and school transformation, Shane Safir and Jamila Dugan cite the work of Stuart Hall as he compares Western (British) approaches to knowledge with our views in education of what is important to “measure, predict, and control.” Hall (cited in Safir and Dugan) compares the Western views of society that emphasize classifying societies into categories with K-12’s current need to create subgroups in our educational data systems, the desire to “condense complex images of other societies through a system of representation” with our school data dashboards, to “provide a standard model of comparison” with valid and reliable assessments that allow us to compare the performance of subgroups from year to year, and to “provide criteria of evaluation against which other societies can be ranked” with our state and federal educational standards. All these Western views of society, social order, and comparable processes in our educational system can be considered as forms of “scientific colonialism,” Safir and Dugan state, citing the work of Serie McDougal III. And while there have been counter-movements that offered different visions of pedagogy, such as Dewey’s pragmatism, constructivism, and reflective practice, those have struggled against a system designed not to embrace them as mainstream practice.
Importantly, the Western (British) worldview instills a hierarchy as it classifies other cultures and other people, with the British social order and bureaucracy at the top, as the supreme standard against which all other cultures would be measured. This is straight up White supremacy culture, and it too is enshrined in K-12’s social order, scientific order, measurement order, order of the learning environment, and the bureaucratic organizational order. Everything we do as a part of that social and bureaucratic order is designed to reproduce that dominant Western narrative and its hierarchies: the way we design learning, how we assess it, and how we structure the systems that support it.
Thus we are enmeshed in both a technical/bureaucratic worldview, and a racist worldview that is the product of Western White supremacy culture. It is technical in that, in trying to mimic a machine bureaucracy, it acts as if all challenges are technical problems to be solved, and learning as well as the overall organization of school is like an assembly line for cars. It is linear, sequential, orderly, controlled, with the goal of high quality students with no defects through using quality control measures such as tracking and standardized tests. This “quality” of system products requires the kind of system stability that Bateson referred to as “continuous non-progressive change.”6 This stability relates to the aphorisms I started with, since it both reproduces what it was designed to do and continues to be unable to change so as to produce equitable deeper learning. System stability also accounts for the energy that the K-12 system is currently applying to return as quickly as possible to that old status quo. Both of these, the technical and the racist worldviews, are deeply embedded in the educational bureaucracy, and we are so deeply embedded in the educational bureaucracy ourselves that we almost cannot imagine any other organizational design. It is “the water we swim in.” No wonder we are challenged to overcome this inequitable and mediocre status quo.
A few years back I was working in a Linked Learning College and Career Pathways office in an urban school district that had decided that all its high schools would develop wall-to-wall career-themed pathways. We had created a team of Pathway Coaches who were site-embedded to support the multi-year transition, especially in the larger comprehensive high schools. Several schools already had small career themed academies, but those did not operate in a collaborative way toward a school-wide approach. In some cases they did not represent the diversity of the school or community and they were not particularly equitable. Let’s consider one case, an Environmental Sciences Academy that had been active for about twenty years. The academy had a few Career Tech Ed (CTE) courses that were not well designed or sequenced, there were several courses that had been used as gatekeepers to push out lower performing students, and the core academic science courses were not well aligned with the overall environmental sciences theme of the pathway or the new Next Gen Science Standards (NGSS). The academy’s teacher team, representing core content subject areas and CTE and including several newer recruits, wanted to redesign it to be more equitable and with a more coherent and accessible environmental sciences program of study. They just weren’t quite sure how.
The Pathway Coach could work with them on overall pathway design and improving their team functioning, but she did not have science expertise to help with the CTE sequence or the core academic program. The Linked Learning Office had a CTE Specialist who could help with the requirements for an effective CTE sequence in environmental sciences, but not the broader program of study, which would require aligning the core science courses with the CTE courses. There was, however, a science specialist in the district’s Teaching and Learning Office who had taught in another science-related academy at another school and knew the NGSS really well.
But here is the catch: The Director of Teaching and Learning did not allow the curriculum specialists in their office to work directly at school sites, feeling this was an inefficient use of their expertise. The previous Director of the Linked Learning Office had tried for several years to coordinate with the Teaching and Learning Office, to no avail. This is not uncommon: I have experienced a number of districts where Teaching and Learning, or Curriculum and Instruction, does not communicate with the high school reform office or the office overseeing principal supervision and evaluation. Often there are turf battles, or long-standing personality conflicts, or just conflicting priorities or mandates. These silos across which there is restricted or non-existent communication or coordination represent the challenge of incoherence in the education bureaucracy that Richard Elmore describes, that I cite above.
The teacher team in the Environmental Sciences Pathway was itching to go, and I knew that taking on this project to redesign their program of study would also be a great way to help them become a higher functioning team. This was a just-in-time opportunity. If they worked with the Pathway Coach, the Linked Learning CTE Specialist, and the Science Specialist at the same time, they could put it all together. I decided to go ahead and get them all working together. Over the course of several months, they redesigned the program of study, the CTE sequence, and the core science courses. And in the process they also built a really positive adult collaborative team culture.
But when the new Director of Linked Learning and the Director of Teaching and Learning found out what we had been doing, they strongly reprimanded me and the Science Specialist for going outside the authority of our positions and violating their different offices’ policies. (In fact, they said, their different offices’ leaders had been meeting for several years to work out how they might align their efforts more, and it was my responsibility to wait until they had ironed out these alignment details before doing anything like what we did.)
This story is a perfect example of the challenges of creating coherence, equity, and powerful learning settings in our existing school district bureaucracies and hierarchies. And yet, embedded in the story is also the kernel of a way forward. In this case, the “new system” we created was really only a small matrix across existing silos and hierarchies, and it only temporarily created a kind of coherence, but we could imagine it being more emergent, dynamic, and sustained over time. If we can (1) recognize when a situation is ripe for change, when the people are passionate about the work and ready to learn how to do it, (2) provide the appropriate support and needed expertise, (3) create the organizational and process containers and resources for innovative practice to emerge, and (4) get existing organizational structures and protocols that would hinder that innovation out of the way, then it is entirely possible for great new work to happen. The possibilities that I describe next push the envelope on rethinking organizational systems for doing just that.
For years, organizational theorists have decried our over-dependence on mechanistic, Newtonian metaphors for our organizational designs (and they are metaphors; the traditional organization chart really only exists in our minds as a mental construct and a set of habits, and often has very little to do with how the organization actually functions). These metaphors lie at the heart of the problems I described above.
While there are some problems for which technical solutions are appropriate, the organizational design of the machine bureaucracy treats students as products to be measured, predicted, and controlled, operates with a traditional command and control mentality, and replicates Western hierarchies of value and worth. Some aspects of our current educational system do go beyond seeing students as products to operate as if students were passive clients, to be given treatments, a system that relies on professional skill and expertise more than unskilled assembly line workers. These aspects operate toward a practical vision of student success, and measure student learning outcomes that way; however, this is still far from where we need to be. In the place of these organizational designs, metaphors, and purposes, the K-12 educational systems could look to an organizational design that is purpose seeking, a transformational space. Why is that?
Mehta and Fine found that true, deep learning operates dynamically at the intersection of student mastery of meaningful content, the recognition and development of student identity, and involving students in the creation of knowledge rather than the passive reception of information. Fullan, Quinn, and McEachen added, “a strong sense of identity around a purpose or passion; creativity and mastery in relation to a valued pursuit; and connectedness with the world and others”7 to the intersection where deep learning operates. This kind of dynamic and ever-deepening inquiry into learning (by students, by teachers) requires an emancipatory organizational design.
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 a symmetry of experience—equitable deeper learning—structured within and across the entire educational system.
What might be the characteristics of an emancipatory organizational design that symmetrically supports equitable deeper learning? Here I suggest some key characteristics. In an upcoming post, I will elaborate on these characteristics and share some examples, taking off from the many other possible metaphors that various organizational theorists have proposed.
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 those of us who work in educational bureaucracies (teachers, principals, district office staff, superintendents, school boards), state policy makers, supporting external organizations, and even students and families, can’t get the metaphor of the machine bureaucracy and the command and control hierarchy out of our minds. When we do, we can 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.”9 Are we ready to be the researchers and designers who can make this future compelling?
1 Mehta, Jal. (2013, September). “From Bureaucracy to Profession: Remaking the Educational Sector for the Twenty-First Century.” Harvard Educational Review 83 (3): 463–488. doi:10.17763/haer.83.3.kr08797621362v05.
2 Weber, Max. (1921/1968). Economy and Society. (G. Roth, C. Wittich, Eds., G. Roth, & C. Wittich, Trans.) New York: Bedminster Press.
3 Weber, Max. (1994). Weber: Political Writings (Cambridge Texts in the History of Political Thought). Peter Lassman, Ed. Trans. Ronald Speirs. Cambridge UP.
4 Weick, Karl E. (1979). The Social Psychology of Organizing, Second Edition. McGraw-Hill. ISBN: 978-0075548089.
5 Glassman, Robert B. (1973, March). Persistence and loose coupling in living systems. https://doi.org/10.1002/bs.3830180202.
6 Bateson, G. (1972: p.125). Steps to an ecology of mind: Collected essays in anthropology, psychiatry, evolution, and epistemology. San Francisco: Chandler Pub.
7 Fullan, Michael; Quinn, Joanne & McEachen, Joanne. (2018: p.5) Deep learning: engage the world, change the world. Thousand Oaks, California: Corwin, a SAGE Company.
8 Safir, Shane & Dugan, Jamila. (2021). Street Data: A next generation model for equity, pedagogy, and school transformation. Corwin, a SAGE Company.
9 Senge, Peter (1990: p.299) The Fifth Discipline: The Art and Practice of the Learning Organization. Doubleday/Currency.
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.