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    The Literacy and Numeracy Secretariat is committed to providing teachers with current research

    The Literacy and Numeracy Secretariat is committed to providing teachers with current research

    on instruction and learning. The opinions and conclusions contained in these monographs are,

    however, those of the authors and do not necessarily reflect the policies, views, or directions of

    the Ontario Ministry of Education or The Literacy and Numeracy Secretariat.

    February 2009

    Research Monograph # 17

    What Complexity Science Tells Us

    about Teaching and Learning

    By Dr. Darren Stanley

    Faculty of Education, University of Windsor

    I seem to have had rather similar experiences to my students when it comes to

    learning mathematics in the early years of school. The images, interactions and

    work are generally recognizable: few or no manipulatives, worksheets with endless

    questions, isolated concepts, linear coverage of a unit, independent work

    and so on. In my classroom at the university, I typically present mathematics in

    a vastly different manner and way. And, while most of my students believe that

    something different needs to be done from what they experienced in school, I still

    see looks of confusion – at least I think these are looks of confusion. To be sure,

    they do seem to suggest that mathematics teaching looks much messier than

    many of them recall.

    Many teacher candidates grapple with concerns pertaining to the management

    of a classroom and express an overwhelming sensibility about controlling its

    many aspects – students, curriculum, assessment, etc. As far as learning goes,

    the natural inclination is to simplify as much as possible what students are to

    learn. But how can teachers create and use complexity rather than manage it,

    not just for their students’ benefit but for their own? Although complexity is

    often perceived as a liability, this monograph considers how it can be viewed as

    an asset and how the ideas behind complexity science might inform pedagogical

    practices.1

    A New Science

    Many people would agree with the notion that the world is complex. In terms of

    the emerging field of “complexity science,” however, the term complex means

    something quite specific, especially in terms of learning and learning systems.

    Complexity science principles suggest that educational matters might be or

    even need to be complexified rather than simplified.

    Can we be less prescriptive in our

    classrooms – and more successful

    with our students?

    Complexity Science Research

    Tells Us

    • The diversity of knowledge and experience

    is an important source of intelligence in

    learning systems.

    • Rich learning engagements (and the

    making of seemingly abstract connections)

    occur when knowledge is seen as shared

    and distributed.

    • Local interactions within small groups of

    students (and the power of self-organization)

    create greater shared classroom coherence

    and understanding.

    • Complexity science principles allow teachers

    to think about and imagine ways in which

    their classrooms can become healthier and

    more democratic learning organizations.

    WHAT WORKS?

    Research into Practice

    A research-into-practice series produced by a partnership between The Literacy and

    Numeracy Secretariat and the Ontario Association of Deans of Education

    DARREN STANLEY, PHD, is an assistant

    professor at the University of Windsor.

    His research interests are in the areas

    of healthy learning organizations;

    the dynamics of, and possibilities for,

    mathematics classrooms where

    diversity can be encouraged and

    embraced rather than controlled.

    The Literacy and Numeracy Secretariat

    If we return to my classroom on campus, we notice a few things. When we

    consider, for instance, the kinds of things that we do when we look at fractions,

    we see a diversity of ways in which we understand certain ideas and make connections

    among different concepts; some ideas and discoveries are shared while

    others are not and many insights are arrived at through some kind of hands-on

    engagement. For sure, our interactions are not so easily prescribed by me or

    anyone else. We discover that our learning as a whole class is very non-linear

    and full of redundancy and diversity in how we interact and what we learn.

    We are, I tell my students, a reflection of certain complexity science principles

    that underlie a healthy learning organization.

    Principles of Complexity Science

    A complexity science perspective focuses on the relational qualities of organizations

    of all types and scales – complex organizational bodies like neuronal

    assemblies, biological bodies, social collectives, bodies of knowledge, governance

    structures and local ecologies.2 Complexity science is concerned not so much

    with attempting to isolate the parts of an organizational system as with understanding

    the relationships that give rise to the organizational whole.3 In schools,

    there is a need to focus on a different scale, that of the classroom, rather than

    the individual students. Moreover, it is the activity of the classroom that needs

    our attention.

    Such an assertion may seem paradoxical. How can one tend to the needs of individual

    students by focusing on the classroom as a whole? This runs contrary to

    centuries of thought, which has tried to reduce life’s complexities to something

    knowable and controllable by tending to the smallest parts. In the classroom,

    these “parts” are individual students. Teachers are often concerned about managing

    classroom dynamics and making learning as straightforward as possible.2

    Complexity science, however, suggests that teachers can be less prescriptive;

    rather than thinking of learning as linear and sequential, teachers could be

    encouraged to imagine it as a web of playful possibility, where their role is to

    outline the “playing area,” allowing for connections and insights to arise through

    shared class activities. When the classroom is thought about and organized in

    this way, it is the interactions among students and ideas that propels learning

    forward, what complexity science refers to as the principle of “neighbour” or

    local interactions.

    Healthy complex organizations arise from particular conditions and organizational

    principles.7 While low degrees of interaction tend to stunt communication and

    the sharing of ideas, too much interaction can overwhelm the classroom. A highly

    controlled classroom can become too rigid and fixed, whereas a classroom where

    power and authority are distributed ensures that, collectively, students can

    learn what they need to learn. Complexity science refers to this as the principle

    of decentralized control.

    A diverse collection of students and teachers, activities and ideas affords the

    possibility of novel or creative prospects and the capacity to adapt. This is referred

    to as the principle of diversity. Too many diverse ideas, however, can bring a class

    to a halt. Thus, a certain level of redundancy or repetition and recursiveness of

    activities and ideas helps bring groups of students, or even the entire classroom,

    to a place where the larger collective has the capacity to move forward (to learn!),

    bringing into play the principle of redundancy. Our classrooms should be diverse

    places, but we all have shared experiences that allow us to relate to one another.

    We now have a few complexity principles with which to work: neighbour or local

    interactions, decentralized control, diversity and redundancy.8 When these principles

    are either absent or are present in unbalanced ways (e.g., too much diversity,

    too little redundancy), the learning organization and the people therein are

    unable to share, adapt and evolve.

    2 What Works? Research into Practice

    A new mindset is needed ...

    To be sure, classrooms are neither

    mechanical nor anarchical – that is,

    learning is not a matter of either

    building knowledge or of simply sitting

    back and letting anything happen.

    Classrooms of children – like all healthy

    complex learning systems – are, or

    should be, more like schools of fish,

    flocks of birds or colonies of bees.

    An entirely different mindset, language

    and set of metaphorical images are

    needed to understand the classroom

    and its constantly unfolding dynamics

    when one views a classroom as a

    complex system. Indeed, the images

    of factories and production lines –

    something carried over from the

    Industrial Revolution – are simply

    inappropriate for contexts where learning,

    as a web of interconnections, unfolds.

    February 2009 3

    Creating conditions for

    learning ...

    What is oftentimes needed is not some

    tidy arrangement of isolated and isolatable

    concepts, but a rich mathematical engagement

    where students can interact with one

    another, share different ideas and make

    connections with seemingly disconnected

    ideas and concepts. To do otherwise,

    would entail prescribing the activities and

    outcomes of teaching, rather than creating

    playful possibilities. It is the difference

    between causing learning and creating

    conditions for learning. The actions of

    teachers do not so much determine what

    students learn; rather, what students learn

    is dependent upon our collective presence

    and participation in the classroom.9

    A Look at Teaching Mathematics

    A complexity science approach to mathematics opens up a greater possibility

    for playfulness, creativity and diverse perspectives. And, naturally, what we find,

    as a result, are classrooms that are “messy,” tentative and all abuzz – classrooms

    which break down persistent negative experiences and apprehension about math.

    Neighbour or Local Interactions

    In the mathematics classroom, the concept of “local interactions” refers not so

    much to working in pairs or small groups,10 but to the notion that our ideas need

    to “bump” into one another, creating the possibility for new ones.4 In some cases,

    we can see a blending of new and old ideas, expressed individually or collectively,

    that opens up opportunities for further elaborations of mathematical ideas and

    structures. When the students in my class look at fractions, for instance, they

    engage in paper-folding exercises as a way to understand a variety of concepts and

    share with one another what they discover – like the commutativity law, equivalent

    fractions and lowest terms. More conventional, teacher-directed/textbook-based

    approaches break down these concepts into isolated ideas without real meaning

    and present them to students in a controlled and deliberate manner. Rather than

    relying upon a single node in a web of connections to disseminate what is required,

    the whole web of ideas is present, contributing to growth in understanding.

    Decentralized Control

    “Decentralized control” stands in opposition to “centralized control” – like

    “top-down” management where a single person is (apparently) in control of

    everything. Decentralized control reflects the idea that the actions of a group

    and the directions that it takes are shared and distributed. Students and teachers

    need to negotiate the conditions needed for learning to happen.10 When

    students work together, the direction their study takes is determined by ideas

    that arise locally rather than “from above.” A seemingly small insight from one

    child can suddenly change the whole focus for the class. Thus, the leadership

    of and direction in a class is distributed and often not held by the biggest,

    the loudest, the smartest or the most popular person in the class.

    Diversity

    Diversity refers to the range of possibilities that are present when generating,

    identifying and evaluating new ideas and possible actions. It is what allows a

    local working group to learn something new. When all students are required to

    produce the same solution with the same method at the same time, new and

    useful insights are hard to come by. On the other hand, too much diversity makes

    it quite difficult for a group to “stick together.” So, for instance, when students

    explore the notion of “half-ness” by folding their pieces of paper (“hotdog”

    folds, “hamburger” folds, folds along the diagonal), a variety of representations

    arise and open up new questions and insights into children’s ideas about halves

    of things. Why and how would folding a piece of paper in one way possibly be the

    same kind of “half” as folding it in another way? Using the concept of equivalent

    fractions allows us to easily make these kinds of diverse connections.

    Redundancy

    Of course, we don’t find 30-something unique examples of paper folded into

    two halves. In fact, we find that the classroom, through its shared knowledge,

    shows some redundancy – a concept that is complementary to diversity. Some of

    my students notice, for instance, that many will have folded “hamburger” folds

    while others will have done “hotdog” folds. In other words, and as paradoxical

    as this might seem, classrooms need to have enough shared mathematical

    knowledge to develop new mathematical understandings together.11 As a result,

    if a student or teacher does not contribute to the class’s mathematical understanding,

    others in the class can still contribute productively.

    Implications for Practice

    What Works? is updated monthly and posted at: www.edu.gov.on.ca/eng/literacynumeracy/inspire/research/whatWorks.html

    ISSN 1913-1097 What Works? Research Into Practice (Print)

    ISSN 1913-1100 What Works? Research Into Practice (Online)

    7. Stanley, R. D. (2005). Toward a view of

    healthy learning organizations through complexity.

    Unpublished doctoral dissertation,

    University of Alberta.

    8. Johnson, S. (2001). Emergence: The connected

    lives of ants, brains, cities, and software.

    New York: Scribner.

    9. Towers, J., & Davis, B. (2002). Structuring

    occasions. Educational Studies in

    Mathematics, 49, 313–340.

    10. Kubota-Zarivnij, K. (2005). President’s

    message. Ontario Mathematics Gazette,

    44(2), 1.

    11. Davis. B., & Simmt, E. (2005). Mathematicsfor-

    teaching: An ongoing investigation of the

    mathematics that teachers (need to) know.

    Educational Studies in Mathematics, 61,

    293–319.

    References

    Learn More about LNS

    Resources ...

    Visit The Literacy and Numeracy Secretariat

    Guide to Print and Multi-media Resources at

    http://www.edu.gov.on.ca/eng/literacynumeracy/

    PrintMultiMediaResources.pdf

    Call:

    416-325-2929

    1-800-387-5514

    Email:

    LNS@ontario.ca

    1. Axelrod, R. M., & Cohen, M.D. (1999).

    Harnessing complexity: Organizational

    implications of a scientific frontier.

    New York: Free Press.

    2. Davis, B., Sumara, D. J., & Luce-Kapler, R.

    (2000). Engaging minds: Learning and

    teaching in a complex world. Mahwah, NJ:

    Lawrence Erlbaum.

    3. Bar-Yam, Y. (1997). Dynamics of complex

    systems. Reading. MA: Perseus Books.

    4. Davis, B., & Simmt, E. (2003). Understanding

    learning systems: Mathematics education

    and complexity science. Journal for

    Research in Mathematics Education, 34,

    137–167.

    5. Weaver, W. (1948). Science and complexity.

    American Scientist, 32, 536–544.

    6. Kauffman, S. A. (1995). At home in the

    universe: The search for laws of self-organization

    and complexity. New York: Oxford

    University Press.

    Some students will do different kinds of folds to show an understanding of a

    “half.” But, even more, many are able to make other important connections

    with seemingly abstract mathematical ideas. For instance, some are able to

    show that a question like 2

    3 x 3

    4 can produce different representations which

    include, 6

    12, 2

    4 and 12

    . And, moreover, they realize that the order of the operations

    (in the form of paper folding alone) does not matter. Thus, while the processes

    used to generate these results and representations will vary, we find some

    measure of redundancy in the class’s work, remembering that the place of

    control in the classroom can be decentralized and local interactions help

    to facilitate the processes of discovery.

    In Summary

    This model for learning mathematics may be quite different from what teachers

    experienced themselves in the past where classrooms were less interactive, filled

    with little activity and conversation. Teachers were generally in control, directing

    all aspects of what was to be learned; different points of view and approaches

    seldom brought to the surface new ideas and insights and a high degree of

    redundancy meant that everybody learned the exact same thing at the exact

    same time.

    We would do well to let go of being completely in control in the classroom

    and take advantage of the diversity and redundancy principles of complexity

    science. This is not to suggest that we need to abdicate our responsibility

    for planning and facilitating learning. On the contrary, it is all the more

    important for the teacher to know how to enhance the learning potential

    of the classroom as a healthy learning collective that is much more than the

    mere intelligence of any single student. In other words, it is up to the teacher

    to understand how to create the conditions, drawn from complexity science

    principles, for everyone in the class (as a whole, living breathing thing) to

    learn mathematics most effectively.

    For those interested in learning more

    about education and complexity ...

    http://www.complexityandeducation.

    ualberta.ca/

  • Knowledge as Emerging Patterns of Interaction (PDF, 328K)
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