Auditing Your Classrooms for Competence and Status

This past weekend, I had the great pleasure of giving a keynote address at the Mathematics Council of Alberta Teachers (MCATA) Conference.

First things first: @minaclark did sketch notes of my talk!  I am delighted because I have always wanted somebody to do that. She did a fantastic job too.

During the breakout session afterwards, I talked about how we can audit our classrooms to support better interactions. In particular, we need to pay attention to issues of mathematical competence and student status. (I have written a lot on these topics since they are critical to fostering positive relationships between students and the subject. You can read earlier posts here, here, and here.)

Here are my audit questions.

Competence audit:

  • What kinds of competencies are valued in your classroom? Where do students have a chance to show them?
  • Consider the last few activities you have done in your class. Did they provide multiple entry points toward a rich mathematical idea? If not, can you use the table below to adapt them to become a low ceiling/high floor question?
  • When you look at your class roster, can you identify at least one way that every student is mathematically smart?
  • When you think of students who struggle, do they have competencies that you might better support by redesigning some of your class activities?
  • When you think of students who have a history of high achievement, do they value other ways to be smart aside from quick and accurate calculation? Do they value other competencies in themselves? In others?

Some low floor-high ceiling question types. (Adapted from Will Stafford’s “Create Debate” Handout)

Status audit:

  • When you think of the students you worry about, how much of their challenge stems from lack of confidence?
  • How much do students recognize the value and contributions of their peers?
  • What small changes could you make to address status problems and support more students in experiencing a sense of competence?

Please feel free to add others or offer your thoughts in the comment section.


Supporting Instructional Growth in Mathematics (Project SIGMa)

Good news to share: another research grant has been funded by the National Science Foundation. Yay!

For this project, my research team and I will be working with Math for America in Los Angeles to design a video-based coaching method for their Master Teacher Fellow program.

sigma logo

This is what we pitched to the NSF:

This study addresses the need to develop processes for adequate and timely feedback to inform mathematics teachers’ instructional improvement goals. In this study, we propose using design-based implementation research to develop and investigate a process for documenting mathematics teachers’ instruction in a way that is close to classroom practice and contributes to teachers’ ongoing pedagogical sense making. The practical contribution will be a framework for formative feedback for mathematics teachers’ learning in and from practice. The intellectual contribution will be a theory of mathematics teachers’ learning, as they move from typical to more ambitious forms of teaching in the context of urban secondary schools. Both the practical and theoretical products can inform the design of professional development and boost other instructional improvement efforts.

In a recent Spencer study, my team and I investigated how teachers used standardized test data to inform their instruction. (That team was Mollie Appelgate, Jason Brasel, Brette Garner, Britnie Kane, and Jonee Wilson.)

Part of the theory of accountability policies like No Child Left Behind is that students fail to learn because teachers do not always know what they know. By providing teachers with better information, teachers can adjust instruction and reach more students. There are a few ways we saw that theory break down. First, the standardized test data did not always come back to teachers in a timely fashion. It doesn’t really help teachers adjust  instruction when the information arrives in September about students they taught last May. Second, the standardized test data took a lot of translation to apply to what teachers did in their classroom. Most of the time, teachers used data to identify frequently challenging topics and simply re-taught them. So students got basically the same instruction again, instead of instruction that had been modified to address central misunderstandings. We called this “more of the same,” which is not synonymous with better instruction. Finally, there were a lot of issues of alignment. Part of how schools and districts addressed the first problem on this list was by giving interim assessments –– basically mini versions of year end tests. Often, the instruments were designed in-house and thus not psychometrically validated, so they may have not always measured what they purported to measure. Other times, districts bought off-the-shelf interim assessments whose items had been developed in the traditional (and more expensive) manner. However, these tests seldom aligned to the curriculum. You can read the synopsis here.

Accountability theory’s central idea  ––  giving teachers feedback –– seemed important. We saw where that version broke down, so we wanted to figure out a way to give feedback that was closer to what happens in the classroom and doesn’t require so much translation to improve instruction. Data-informed action is a good idea, we just wanted to think about better kinds of data. We plan to use a dual video coaching system — yet to be developed — to help teachers make sharper interpretations of what is happening in their classrooms.

Why did we partner MfA LA? When I reviewed the literature on teachers’ professional learning, they seemed to be hitting all the marks of what we know to be effective professional development. They focus on content knowledge; organize their work around materials that can be used in the classroom; focus on specific instructional practices; they have a coherent and multifaceted professional development program; and they garner the support of teacher communities. Despite hitting all of these marks, the program knows it can do more to support teachers.

This is where I, as a researcher, get to make conjectures. I looked at the professional development literature and compared it to what we know about teacher learning. MfA may hit all the marks in the PD literature, but when we look at what we know about learning, we can start to see some gaps.

*Conjecture 1 Professional learning activities need to address teachers’ existing concepts about and practices for teaching.


Conjecture 2 Professional learning activities need to align with teachers’ personal goals for their learning.


Conjecture 3 Professional learning activities need to draw on knowledge of accomplished teaching.


*Conjecture 4 Professional learning activities need to respond to issues that come up in teachers’ ongoing instruction


*Conjecture 5 Professional learning activities need to provide adequate and timely feedback on teachers’ attempts to improve their instructional practice to support their ongoing efforts.


Conjecture 6 Professional learning activities should provide teachers with a community of like-minded colleagues to learn with and garner support from as they work through the challenges inevitable in transformative learning.


*Conjecture 7 Professional learning activities should provide teachers with rich images of their own classroom teaching.


The conjectures with * are the ones we will use to design our two camera coaching method.

We need to work out the details (that’s the research!) but  teacher’s instruction will be recorded with two cameras, one to capture their perspective on significant teaching moments and a second to capture an entire class session. The first self-archiving, point-of-view camera will be mounted on the teacher’s head. When the teacher decides that a moment of classroom discourse illustrates work toward her learning goal, she will press a button on a remote worn around her wrist that will archive video of that interaction, starting 30 seconds prior to her noticing the event. (As weird as it sounds, it has been used successfully by Elizabeth Dyer and Miriam Sherin!)  The act of archiving encodes the moment as significant and worthy of reflection. For example, if a teacher’s learning goal is to incorporate the CCSSM practice of justification into her classroom discourse, she will archive moments that she thinks illustrate her efforts to get students to justify their reasoning. Simultaneously, a second tablet-based camera would record the entire class session using Swivl®. Swivl® is a capture app installed in the tablet. It works with a robot tripod and tracks the teacher as she moves around the room, allowing for a teacher-centered recording of the whole class session. Extending the prior example, the tablet-based recording will allow project team members to review the class session to identify moments where the teacher might support students’ justifying their reasoning but did not do so. The second recording also captures the overall lesson, capturing some of the lesson tone and classroom dynamics that are a critical context for the archived interactions. Through a discussion and comparison of what the teachers capture and what the project team notices, teachers will receive feedback on their work toward their learning goals. We will design this coaching system to address the starred conjectures in the table

Anyway, I am super excited about this project. I am working with amazing graduate students: Grace Chen, Brette Garner, and Samantha Marshall. Plus, my partners at MfA LA: Darryl Yong and Pam Mason.

I will keep you posted!




What Does It Mean to Study Teachers’ Learning from a Sociocultural Perspective?

I try to be a plain-talking academic when I engage in the public realm of social media. Sometimes, despite my best efforts, I find myself wanting to use academic jargon. My goal in writing this blog is to have conversations with both educators and researchers, so I think it is okay to have “turns” of conversation that lean a little more on my research voice than my educator voice.

Sociocultural is jargon word that I have wanted to invoke from time to time when talking to my practitioner friends. In particular, the research I do uses sociocultural learning theories as a way of describing both how students and teachers learn.

But what does that mean? In order to understand, you need a little history on how we have come to think about learning the way we do.
In the late 19th and early 20th centuries, U.S. research on learning was dominated by behaviorism. Seeking a rigorous empirical basis for a study of behavior, researchers like E.L. Thorndike and B.F. Skinner sought to explain how learning happened by documenting what they could see empirically.

Out of this theory, we have ideas like operant conditioning, where actions are shaped by stimulus and responses in the environment to ultimately change behavior. Skinner famously made little operant conditioning chambers called “Skinner boxes” that successfully “taught” pigeons to dance. Through the boxes, food was dispensed in response to the pigeon’s movements. If he turned his head to the left –– the stimulus –– he would get a food pellet –– the response. The next time, he had to turn his head a little further to get his food. Eventually, through operant conditioning, the pigeon learned to turn in a full circle –– to “dance” –– to get food.

dancing pigeons

Behaviorism explained some forms of learning, but it couldn’t explain everything. In the 1950s, the cognitive revolution began. Researchers like Jerome Bruner began to critique behaviorism, noting that a sole focus on behavior precluded a study of how people created meaning, a central question in understanding why people do what they do. Researchers realized they could do empirical studies that included a theory of the mind. Using methods like case studies and talk aloud protocols, investigators could examine how people made sense of their activities in the world.

Cognitive science, as it came to be called, led to important insights like schema theory and conceptions. A schema is a general system for understanding how knowledge is represented and how it is used.

Researchers can look for evidence of different schemata (the plural of schema). Like the behaviorists, they observed what people did to understanding learning. However, they augmented this by asking people to explain their thinking through interviews and surveys.

To give an example of a schema, let’s take the word “dog.” When I say “dog” what do you imagine?

You probably think of four-legged animals that bark, are furry, have tails. But how do you know that these are all dogs?

How do you know that these are not?

This is the question that underlies the idea of schemata.

The examination of schemata started to point to the importance of culture. Schemata are closely related to prototypes. So, for example, when I say the word “furniture” what do you think of?

Linguists have found that when you say the word “furniture” to Americans, they think the best examples are chair and sofa.

When you say the word “möbel” to Germans, however, they think the best examples are bed and table. Our schemata and our prototypes –– the building blocks of concepts in the world –– are culturally specific.

By the early 1990s, this increasing recognition of the importance of language, culture, and context shifted our ideas about learning yet again. Language and culture were not just the setting for development and thinking –– some kind of external variable to be controlled for –– they were, in fact, fundamental components of these mental processes. This insight meant that, to explain some learning phenomena, researchers needed to do more than describe mental structures.

This required another broadening of research methods. Using linguistics, anthropology, and sociology, learning researchers wanted to account for how concepts stretched beyond individual minds and into the world. Deeply influenced by Soviet psychologist, Lev Vygotsky, researchers working in this sociocultural tradition examined learning as it happened in interactions in the world, requiring new units of analysis. That is, instead of studying individuals as they learned, researchers sought ways to study individuals in context.

My own research takes up these sociocultural insights to re-think how we study teacher learning. Let me paint a bit of a picture for you about the intellectual traditions that shape my work.

First, when I entered my doctoral program at UC Berkeley in the mid-1990s, debates between cognitive and sociocultural perspectives on learning were quite active in my courses and in research groups. Although most arguments centered on questions of student learning, there was a growing interest in what was often called “out-of-school learning.” Influenced by anthropological researchers like Jean Lave, a small group of scholars studied workplace learning, a particularly pressing topic in our modern information economy, where workers must constantly adapt to a rapidly changing world.

Meanwhile, in educational policy studies, there was a growing recognition that research on school organization, curriculum, and teacher professional development had overlooked a central question: How do teachers’ learn? Since almost all school improvement efforts want to improve instructional quality –– through curricular reform, changes in scheduling or assessment techniques –– they all depend on what happens inside of classrooms. And that, of course, depends on what happens with teachers.

For this reason, educational policy scholars like Judith Warren Little and Mike Knapp were recognizing that teachers’ learning is an underanalyzed component of any efforts at school change or instructional improvement. Yet it was not central to policy designs –– let alone to analyses of their effectiveness.

The moment was ripe for somebody to connect these ideas. My work starts with the policy-based observation that designs for instructional change must consider teacher learning. I then use methods and insights from sociocultural theories of learning to examine how teachers’ learning happens in the school as a workplace. As the sociocultural theorists suggest, what teachers know and learn is not solely a product of what is in their individual heads.

Concepts for teaching draw on culturally specific practices and language in the world. For instance, in the U.S., we often start grouping children by ability levels at a very young age. The concept of a “high ability 6 year old” makes sense for American teachers in a way that it would not to teachers in countries that do not track in the elementary years. There are consequences to that concept having social meaning, as educators make decisions about their schools and classrooms and parents advocate for certain experiences.

By using sociocultural perspectives to explain teachers’ learning, my research is culturally specific and theoretically specific. Although the details of what I find about U.S. teachers may not generalize to other countries, it is my hope that my descriptions of teachers’ learning can be more generalizable.

Structure Can Change Agency

One great privilege of the work I do are the many opportunities I get to share the things I care about with different groups of people. If you do it enough, you get a chance to clarify your own ideas, learn from others, and notice connections.

This past weekend, I had the honor to give a keynote talk at the Carnegie Math Pathways Forum. If you don’t know about their work, it is worth checking out. Briefly, their work addresses the enormous blockage in the math pipeline as students transition from secondary to post-secondary. A staggering number of students get placed in developmental math classes, and often, these courses become a holding bin students cannot get out of. The Carnegie folks have worked primarily with community college instructors to re-think developmental math curricularly and pedagogically. It’s fascinating and important work.

My talk was about the relationship between structure and agency, how both contribute to inequalities in mathematics education. When we are teaching in a classroom, it is easy to see problems of inequality as they look locally: high enrollments in developmental math, over-representation of students coming from poverty and students of color, a sense of student apathy. To make progress, however, instructors can learn by linking the local to broader social processes: the maldistribution of qualified math teachers, STEM classrooms that are hostile environments to minoritized students, a K-12 curriculum that often reflects the institution of schooling more than what it means to do meaningful mathematics. I argued that if we frame these problems through what we see locally, we give ourselves, as teachers, less leverage to make progress on them. I shared two key concepts for linking these social processes to what we see in our classrooms: social risk and status. I have written about both of these (click the links if you are curious), but briefly, social risk refers to the threats people feel are posed to their status in a community while status describes the perception of students’ academic capability and social desirability. Both of these ideas link the social process explanations for inequality to what teachers see in their classrooms locally.

Teachers can then work to design classrooms that reduce social risk by, in part, attending to status dynamics. In other words, to connect structure and agency, we need ways to think across scale and look at the social origins of problems too often narrated as individual issues. Instead of, for example, blaming students for being apathetic about mathematics learning, we need to recognize what their history has likely been in our current system and accept their apparent apathy as a reasonable response. Our task shifts from finger pointing (“My students just aren’t motivated!“) to having the productive challenge of honoring their experience while trying to change their ideas about math and learning.

In the end, then, structure can help us change agency in two ways. First, by recognizing that it is there, along with the social processes it holds in place, we can arrive at more productive framings of the problems we face locally. Second, we can leverage the structural designs in our classroom to invite students’ agency.

I have written about designing structures to promote agency before. If you don’t feel like reading that (I realize it’s summer!), maybe watch this video instead. It is quite a joy.

And don’t we all need more of that right now?


Why Meaningful Math Learning Matters

What Meaningfulness Means

Learning and schooling are not the same thing. There are children who are great learners but terrible students. These young people are full of ideas and questions, but they have not managed to connect their innate curiosity with their experiences in school. There are many possible reasons for this. Children may find school to be a hard place to inhabit, due to invisible expectations that leave them feeling alienated. Sometimes, school curriculum just seems irrelevant: their personal questions about the world do not find inroads in the work they are asked to do.
Although many parenting books extol children’s natural curiosity and emphasize its importance in their learning and development, schooling too often emphasizes compliance over curiosity. Thus, it is not surprising that children who are great learners and weak students have their antithesis: children who are great students but who are less invested in learning and sense making. Make no mistake: these students hit every mark of good organization, compliance, diligence, and timely work production, but they do not seek deep engagement with ideas. Given the freedom to develop a question or explore an idea, they balk and ask for more explicit directions. I have heard teachers refer to these children as “teacher-dependent.”
Too often, meaningfulness falls through this gap between learning and schooling. There is a fundamental contradiction at play: meaningfulness arises from and connects to children’s curiosity, yet “curious children” is not entirely synonymous with “successful students.” Meaningfulness comes about when students develop an appreciation for mathematical ideas. Rich and meaningful learning happens when students draw on prior knowledge and experiences to make sense of ideas and explore problems, invoke their own strategies, get to ask “what if…?”  In short, meaningful learning happens when students’ activity connects to their own curiosity. To make meaningfulness central to math teaching, then, teachers need to narrow the gap between being curious and being a good student.


Meaningfulness: When students connect their own curiosity and experience to ideas, thereby developing an interest in and appreciation for mathematical content.

Why Meaningfulness Matters

Every math teacher, at one one time or another, has been asked the question, “When are we going to use this?” While this question often gets cast as students’ resistance to learning, it can be productively reinterpreted as a plea for meaningfulness. When the hidden curriculum of math class –– the messages that are inadvertently relayed through classroom organization and activity –– consistently communicates that meaning does not matter, we end up with hordes of students who no longer reason when they are doing math. They instead focus on rituals, such as following the worked example, and cues, such as applying the last learned procedure to the current problem.
As researcher Sheila Tobias explained in her classic exploration of math anxiety, a lack of meaning exacerbates many students’ negative experiences learning mathematics. When math class emphasizes rituals and cues that rely on memorization over sense making, students’ own interpretations become worthless.

For instance, they memorize multiplication facts, and, in a search for meaning, they decide that multiplication makes things bigger. Then, they learn how to multiply numbers between 0 and 1. Their prior understanding of multiplication no longer works, so they might settle on the idea that mulitiplication intensifies numbers since it makes these fractional quantities even smaller. Finally, when they learn how to multiply negative numbers, all their ideas about multiplication become meaningless, leaving them completely at sea in their sense making. The inability to make meaning out of procedures leaves students grasping and anxious, as the procedures seem ever more arbitrary.
In contrast, when classrooms are geared toward supporting mathematical sense making, they reap multiple motivational benefits. First, students’ sense of ownership over their learning increases. Students see that multiplication can be thought of as repeated addition, the dimensions of a rectangle as related to its area, or the inverse of division. When they learn new types of multiplication, the procedures have a conceptual basis to expand on. Relatedly, their learning is more durable. Because they understand the meaning behind the mathematics they are learning, they are more likely to connect it to their own experiences. This, in turn, provides openings for their curiosity and questions. Beyond giving students opportunities for sense making, meaningful mathematics classrooms provide students chances to identify and explore their own problems. Indeed, in a systematic comparison of teacher-guided and student-driven problem solving, educational researchers Tesha Sengupta-Irving and Noel Enyedy found that the ownership, relevance, and opportunities to engage curiosity in student-driven problem solving supported stronger outcomes in student affect and engagement.[1]

The challenge, then, for teachers is how to help students engage in meaningful mathematical learning within the structures of schooling. I would love to hear your ideas about how to achieve this.

[1] Tesha Sengupta-Irving & Noel Enyedy (2014): Why Engaging in Mathematical Practices May Explain Stronger Outcomes in Affect and Engagement: Comparing Student-Driven With Highly Guided Inquiry, Journal of the Learning Sciences, DOI: 10.1080/10508406.2014.928214

Professional Development is Broken, but Be Careful How We Fix It

This morning, Jal Mehta tagged me on a tweet to linking to his recent Education Week blog post, entitled “Let’s End Professional Development as We Know It.”

The following exchange ensued:

He then asked if I could share some of my research to back my perspective. I sent him an email with journal articles and such, but I thought I would share my ideas with y’all too.

Here is my argument about why putting professional development (PD) back in schools may be necessary but not sufficient to improving its impact on teachers’ instruction.

Unlike medicine and other scientific fields, where problems are taken-as-shared and protocols for addressing problems are roughly agreed upon, teaching problems are locally defined. What needs attention in one school may not need attention in another. For instance, some schools’ “best practices” may center on adapting instruction to English learners, while other schools’ might center on the mental health ailments that have become prevalent among affluent teens. Likewise, other professions share language, representations, and goals for critical aspects of their work — these all important resources for learning together. In teaching, we see repeatedly that terms acquire the meaning of their setting more often than they bring new meanings to these places. Take, for instance, Carol Dweck’s ideas about mindset. The various ways that her construct has taken hold in education led her to explain why what she means by mindset is not how the idea is being used. If we leave professional development entirely up to individual school sites, this means that “doing PD” on Topic X probably looks fairly different from place to place, so radically localized professional development will exacerbate this problem.

Leaving professional development to local sites also limits teachers’ access to expertise. When my colleagues and I have studied teachers’ collaborative learning, we found that the learning opportunities are not equally distributed across all teacher groups. Some of this has to do with how teachers spend their time (e.g., focused on logistics or deeper analysis of teaching). But some of it has to do with who is sitting around the table and what they have been tasked to do.

Teachers’ collaborative learning can be described as an accumulated advantage phenomenon, where the rich get richer. That is, teachers who have sophisticated notions of practice are able to identify teaching problems in complex ways and deploy more sophisticated strategies for addressing them. This follows from my previous points, since problem definition is an important part of teachers’ on-the-job learning. For instance, if we have a lot of students failing a course, how do we get to the bottom of this issue? In many places, high failure rates are interpreted as a student quality problem. In others, they are taken as a teaching quality problem. Interpretations depend on how practitioners think this whole teaching and learning business goes down. In other words, problem definition is rooted in teachers’ existing conceptions of their work, which in other professions, are codified and disseminated through standardized use of language and representations.

Unequal access to expertise is only one of many reasons the optimistic premise of teacher community often does not pan out. There is a tendency to valorize practicing teachers’ knowledge, and, no doubt, there is something to be learned in the wisdom of practice. That being said, professions and professionals have blind spots, and with the large-scale patterns of unequal achievement we have in the United States, we can infer that students from historically marginalized groups frequently live in these professional blind spots. For reasons of equity alone, it is imperative to develop even our best practitioners beyond their current level by giving them access to more expert others.

Even in highly collaborative, well-intentioned teacher communities, other institutional pressures (e.g., covering curriculum, planning lessons) pull teachers’ attention to the nuts-and-bolts of their work, rather than broader learning or improvement agendas. Add to this the norms of privacy and non-interference that characterize teachers’ work, you can see why deeper conversations around issues of teaching and learning are difficult to come by.

What about, you might say, bringing in expert coaches? Research shows that expert facilitators or coaches can make a difference. In fact, there is evidence that having expert coaches may matter more than expert colleagues when it comes to teacher development. At the same time, we suspect that expert facilitators are necessary but not sufficient, as coaches often get pulled into other tasks that do not fully utilize their expertise. In our current study, we see accomplished coaches filling in for missing substitute teachers, collating exams, or working on classroom management with struggling teachers. None of these tasks taps into their sophisticated instructional knowledge. Additionally, being an accomplished teacher does not guarantee you have the skill to communicate your teaching to others. In our data, we have numerous examples of really great teachers underexplaining their teaching to others.

Lee Shulman famously called out the missing paradigm of teacher knowledge, giving rise to a lot of research on pedagogical content knowledge (PCK). While PCK gave a very useful way to think about teachers’ specialized knowledge, little progress has been made on understanding how teachers develop this and other forms of knowledge, particularly in the institutional context of schools, which often presses teachers’ practice away from what might be deemed “good teaching.” As long as we don’t have strong frameworks for understanding how teachers learn, PD –– even localized, teacher-led PD –– risks being just another set of activities with little influence on practice.

Building Teaching as a Responsive Profession

Those of you who spend real or virtual time with me have heard me talk about how hard it is to talk about teaching.

One frequently mentioned issue is that, unlike other professions, teaching does not have its own technical language. Professions like aviation and medicine have common professional terms that highlight important features of critical situations and guide practice. In aviation, for instance, pilots identify wind patterns to aid in landing planes. Likewise, surgeons have cataloged human anatomy and surgical procedures so the protocol for appendectomies can be named and routinized, with appropriate modifications for anatomical variations such as hemophilia or obesity. But a strong headwind in China is similar to a strong headwind in Denmark; a hemophiliac in Brazil will require more or less the same modifications as a hemophiliac in Egypt.

In contrast, an urban school may not be the same as an urban school a few blocks away, nor an ADHD kid the same as an ADHD kid in the same classroom. Although such terms attempt to invite descriptions about particular teaching situations, the language often relies on stereotyped understandings. Everyday categories like an urban school, an honors class, or an ADHD kid seldom work to describe teaching situations adequately to help teachers address the challenges they face. Words characterizing social spaces and human traits are inherently ambiguous and situated in particular social, cultural and historical arrangements.

The variation teachers encounter cannot always be codified, as they often are in aviation and surgery. In fact, in the United States, when educational situations are codified, they often presume the “neutral” of White, English-speaking, and middle class culture. However, the widespread practice of glossing cultural particulars, or only seeing them as deviants from a norm, reduces teachers’ ability to teach well. From Shirley Brice Heath’s  seminal work comparing home literacy practices in White and African American communities to Annette Lareau’s identification of social class-specific parenting patterns, we see time and again that children from non-dominant groups frequently encounter schooling expectations that are incongruous with their home cultures, often to the detriment of their learning. Conversely, when instructional practices align with children’s home cultures, teachers more are more effective at cultivating students’ learning. (See, for a few well documented examples, this work by Kathryn Au and Alice Kawakami, Gloria Ladson-Billings, and Teresa McCarty.)

Culturally responsive pedagogies are, by definition, highly particular and have been documented to yield better student learning. To communicate sufficiently, professional language for teaching would need to encompass this complexity, avoiding simplistic –– perhaps common sense –– stereotypes about children, classrooms, schools, or communities.

How, then, can we develop shared professional language for teaching and build professionals responsive to the children they serve? I have some ideas I will share in another post.

How Does School Culture Reflect Middle Class Culture?

Class is rarely talked about in the United States; nowhere is there a more intense silence about the reality of class differences than in educational settings.

bell hooks

One of the things teachers often hear in the course of teacher education is that school culture typically reflects middle class culture. For teachers who grew up middle class, this statement can be perplexing. It’s like trying to alert fishes to the unique presence of water: they are so immersed in it that alternatives cannot be fully imagined.

Yet class shapes everything from interactional styles to the kinds of competencies valued in the home. In her famous ethnography of class and American childhoods, Annette Lareau characterized working class and poor families as tending to promote natural growth in children. These parents tend to let children determine their leisure activities. When they interject authority, they tend to do so with directives.

lareau cover

In contrast, middle-class families tended to practice a form of parenting Lareau calls concerted cultivation. These parents tended to equate good parenting with deliberate development of their children’s talents, especially through organized leisure activities. They also used fewer directives, instead reasoning with their children when seeking to change their behavior.

(There are other contrasts between these approaches to parenting, as summarized in this table.)

Lareau’s point is not that one style is better than the other, but instead to point out that school often assumes middle class parenting, leaving poor and working class families with less of an institutional fit. In fact, as somebody who was raised in this manner, I personally see many strengths that come out of the accomplishment of natural growth. Children have more opportunities to develop autonomy and engage in more social problem solving than children whose leisure activities are organized and led by adults.

How do these middle class assumptions play out in school? Classrooms are crowded places, and teachers frequently need to direct children’s attention and activities. Many teachers tend toward the middle class style of suggesting a transition (“Would you like to join us on the rug?”) rather than directing it (“Please come to the rug now”). If you are used to the latter, the former can be understandably ambiguous and confusing.

What is more, middle class children, through their greater experience with formally organized leisure activities, usually come to school with tacit understandings about how to participate. They have more experience responding to the authority of a non-kin adult with whom they will likely form a superficial and transitory relationship. In contrast, if your early socialization has been primarily with family, taking directions from a stranger may seem like a strange and maybe not entirely wise endeavor.

There are also subject-specific ways that social class makes school more or less a fit with children. Valerie Walkerdine has documented the ways class can interact with mathematics education in particular. She points to the quantitative fictions common to math class, describing, for example, an elementary number game requiring the “purchase” of various items for 1 to 10 pence and then making change. The working class children she observed, whose lives were much more consequentially tied to actual prices of things, found the premise of the game absurd. As I often tell my pre-service teachers, which of your students knows where to find the best price on a gallon of milk, and which simply look to make sure it’s organic? How does that change your job in making sure the cost in your word problem is realistic?

To feel comfortable participating in classrooms, children need to have a reason to be there. They need to see a connection to their lives and experience a sense of belonging. Social class differences are sometimes the source of cultural barriers to feeling like you belong in school, that school is a place that matters, that things make sense. Teachers need to be thoughtful in how they bridge these differences with their students.

Teaching as a Social Practice: A Syllabus

This spring, I am teaching one of our required doctoral seminars, Teaching as a Social Practice. I have been publicly agonizing about getting the reading list right on Twitter. This is a tough (and thrilling) syllabus to write. There is probably enough research on teaching to fill several warehouses. I have dealt with the quantity issue by making some readings shared and some “distributed,” meaning subsets of students will read and lead discussions on the individual papers. However, I want to go beyond accounts of teachers as individual actors. I strive to account for social, cultural, and historical forces that shape what is happening (and what is possible) in schools. Despite its abundance, the ample research on teaching suffers from two problems: quality and completeness. The quality issue is actually helpful, since I gravitate toward the stronger work out there. The completeness issue refers to the fact that some of the most urgent issues in teaching as a social (and therefore cultural) practice have not yet been addressed in substantive ways by research. So I need to go beyond research into popular writing and blogs. One door shuts and another one opens up… Humbly, I offer my current reading list for your edification. I welcome respectful and curious conversations about my choices.

Section 1: What is the work of teaching?

An Introductory Framework for Teaching

Cohen, D.K. (2011) Teaching and Its Predicaments. Cambridge, MA: Harvard University Press. Chapters 1 – 3.

The Image of the Individual, or Why is It Hard to View Teaching as a Social Practice?

Goldstein, D. (2014). Introduction. The Teacher Wars: A History of America’s Most Embattled Profession. New York: Doubleday. (pp. 1-12).

Little, J.W. (1990). The persistence of privacy: Autonomy and initiative in teachers’ professional relations. Teachers College Record,91(4), 509-536

Bulman, R.C. (2002). Teachers in the ‘hood: Hollywood’s middle-class fantasy. The Urban Review, 34 (3), 251-276.

Section 2: What is “social” about teaching?

Introduction to Teaching as a Social Practice

Cohen, Chapter 4 “The social resources of teaching”

Stein, Sandra J. (2002). The Culture of Education Policy. New York: Teachers College Press.

Chapter 1, “Policy as Cultural Construct” (pp. 1-25)

Chapter 4, “The School” (pp. 85-107)  

History, Place, and Professional Identity in Teaching

Goldstein Chapter 1 “Missionary Teachers”: The Common Schools Movement and the Feminization of American Teaching. (pp. 13-33).

Lortie, D. (1975). The limits of socialization (Chapter 3). Schoolteacher: A sociological study. (pp. 55-81). Chicago: University of Chicago Press.

Foster, M. (1997). Introduction. Black teachers on teaching.  (pp. xv-li). New York: New Press.

Horn, I.S. (in press). The Status of Teaching as a Profession in the United States. International Encyclopedia of the Social and Behavioral Sciences, 2nd edition. Oxford: Elsevier Publishing.

How Do Students and Their Lives Shape Teaching Practice?

Shared readings:

Metz, M.H. (1993). Teachers’ ultimate dependence on their students. In J. W. Little & M. W. McLaughlin (Eds.), Teachers work: Individuals, colleagues, and contexts (pp. 104-137). New York: Teachers College Press.

Lareau, A. (2003). Unequal Childhoods: Class, Race, and Family Life. Berkeley: University of California Press. Chapters 1 & 2

Vilson, J. (2014). Where the Hustle Comes From. This is Not a Test: A New Narrative on Race, Class, and Education. (pp. 93-99). Chicago: Haymarket Books.

Distributed readings:

Lareau, A. (2003). Unequal Childhoods: Class, Race, and Family Life. Berkeley: University of California Press. Chapters 8, 9, 10 (case studies).

How Do Colleagues Matter in Teaching?

Shared readings:

Lee, V. E., & Smith, J. (1996). Collective responsibility for learning and its effects on gains in achievement and engagement for early secondary school students. American Journal of Education, 104(2), 103-147.

Siskin, L. S. (1994). Social Worlds. In Realms of knowledge: Academic departments in secondary schools. London: Falmer Press.

Distributed readings:

Coburn, C. (2001). Collective sensemaking about reading: How teachers mediate reading policy in their professional communities. Educational Evaluation and Policy Analysis, 23(2), 145-170.

Horn, I. S. (2007). Fast kids, slow kids, lazy kids: Framing the mismatch problem in mathematics teachers’ conversations. The Journal of the Learning Sciences, 16(1), 37-79.

How Do The Organizational Resources of Schools Shape Teaching Practice?

Cobb, P., McClain, K., Lamberg, T., & Dean, C. et al (2003). Situating teachers’ instructional practices in the institutional setting of the school and district. Educational Researcher, 32 (6), 13-24.

Lampert, M., Boerst, T.A., & Graziani, F. (2011). Organizational Resources in the Service of School-Wide Ambitious Teaching Practice. Teachers College Record, 113 (7).

Moore-Johnson, S., Kraft, M.A., Papay, J.P. (2012). How context matters in high-need schools: The effects of teachers’ working conditions on their professional satisfaction and their students’ achievement. Teachers College Record, 114 (10).

Bartlett, L. (2014). Introduction and Overview. Migrant Teachers: How American Schools Import Labor. Cambridge: Harvard University Press. (pp. 1-11).

Section 3: What does it mean to “know” in teaching?

How (and What) Do Teachers Enable Students to Know?

Cohen, Chapter 5, “Knowledge and Teaching”

Jackson, P.W. (1990). The Daily Grind. Life in Classrooms (pp. 1-37). New York: Teachers College Press.

Anderson, M. (2014, November). Can White Teachers Be Taught How to Teach Our Children?

How Have Researchers Conceptualized Teaching and Teacher Knowledge?

Shared Readings: Green, E. (2014). Founding Fathers. Building a Better Teacher: How Teaching Works (and How to Teach it to Everyone). New York: W.W. Norton and Company. (pp. 23-44).

Shulman, L. (1986). Paradigms and research programs in the study of teaching: A contemporary perspective. In M.C. Wittrock (Ed.), Handbook of Research on Teaching (3rd ed., pp.3-36). New York: MacMillan.

Ball, D., Thames, M.H., & Phelps (2008). Content Knowledge for Teaching: What makes it special? Journal of Teacher Education, 59(5), 389-407.

Distributed Readings: Cochran-Smith, M. & Lytle, S. (1993). Research on teaching and teacher research: The issues that divide. Inside/Outside: Teacher Research and Knowledge (pp.5-22). New York: Teachers College Press.

Gutiérrez, R. (2013). Why (Urban) Mathematics Teachers Need Political Knowledge. Journal of Urban Mathematics Education, 6(2), 7-19.

How Does the Organization of Teaching Shape the Epistemologies of (and in) Practice?

Cohen, Chapters 6 & 7, “Instructional Discourse” & “Teachers’ Acquaintance with Student Knowledge”

Kennedy, M.M. (2010). Attribution error and the quest for teacher quality. Educational Researcher, 39(8), 591-598.

How Should We Assess Teaching Competence?

Shared readings:

Goldstein Chapter 8: “Very Disillusioned” How Teacher Accountability Displaced Desegregation and Local Control. (pp. 164-188)

Goldstein Chapter 9: “Big, Measurable Goals”: A Data-Driven Vision for Millennial Teaching (pp. 189-230).

Distributed readings:

Kane, T.J. & Steiger, D.O. (2012). Gathering feedback for teaching: Combining high-quality Observations with student surveys and achievement gains. Bill & Melinda Gates Foundation. (Research report of the Measures of Effective Teaching Project).

Haertel, E. (2013). Reliability and Validity of Inferences about Teachers Based on Student Test Scores. The 14th William H. Angoff Lecture presented at the National Press Club. Washington, D.C. Princeton, NJ: Educational Testing Services. Fenstermacher,

G.D. & Richardson, V. (2005). On Making Determinations of Quality in Teaching. Teachers College Record Volume 107, Number 1, January 2005, pp. 186–213
How Do Teachers Develop Knowledge in Practice?

Feiman-Nemser, S. (2012). Learning to Teach. Teachers as Learners. Cambridge, MA: Harvard University Press. (pp. 27-55).

Ball, D.L. & Cohen, D. (1999). Developing practice, developing practitioners: Toward a practice-based theory of professional education. In G. Sykes & L. Darling-Hammond (Eds.), Teaching as a Learning Profession: Handbook of Policy and Practice (pp. 3-32). San Francisco: Jossey-Bass.

Horn, I.S. & Little, J. (2010). Attending to problems of practice: Routines and resources for professional learning in teachers’ workplace interactions. American Educational Research Journal, 47 (1), 181-217.

Lampert, M. (2012). Improving teaching and teachers: A generative dance? Journal of Teacher Education, 63 (5), 361-367.

How are Teacher Educators and Researchers Re-thinking Teacher Preparation?

Shared readings:

Feiman-Nemser, S. (2012). Teacher Preparation: Structural and Conceptual Alternatives. Teachers as Learners. Cambridge, MA: Harvard University Press. (pp. 55-104).

Grossman, P. & McDonald, M. (2008). Back to the future: Directions for research in teaching and teacher education. American Educational Research Journal, 45 (1), 184-205.

Ladson-Billings, G. (2011). Yes, but how do we do it? Practicing culturally relevant pedagogy. In J. Landsman & C. Lewis (Eds.) White Teachers/Diverse Classrooms: Creating Inclusive Schools, Building on Students’ Diversity, and Providing True Educational Equity. (2nd ed.) Stylus: Sterling, VA.

Distributed readings:

Horn, I.S. & Campbell, S.S. (In press). Developing Pedagogical Judgment in Novice Teachers: Mediated Field Experience as a Pedagogy for Teacher Education. Pedagogies: An International Journal.

Sleeter, C. E. (2001). Preparing teachers for culturally diverse schools: research and the overwhelming presence of whiteness. Journal of Teacher Education, 52(2), 94-106.

Windschitl, M., Thompson, J., Braaten, M. (2011). Ambitious pedagogy by novice teachers: Who benefits from tool-supported collaborative inquiry into practice and why? Teachers College Record 113 (7).