Tag: MOOCs

  • Maybe old learning isn’t so bad, after all?

    Maybe old learning isn’t so bad, after all?

    When I first saw Mary Kalantzis’s photos of a 1983 elementary school classroom in Greece, I scoffed. It was so obvious that the “communications and knowledge architecture” was one-way, focused on rote learning and rewarding good behavior which involved staying safely “inside the box”. How easy to critique, deconstructing all of the ways in which this particular “banking” form of education was unlikely to intentionally “deposit” anything that might actually be useful to the future lives of these school children. How awful, I thought, and how at odds with everything I try to put into practice with respect to my own professional role. The promise of digital learning’s active knowledge-making makes 1983 look like the Dark Ages of education.

    And yet. And yet this classroom very closely resembles the ones in which I grew up, with 5th grade in 1980 as a reference point. And I was one of the kids for whom it was an enjoyable experience. I thrived in that environment. I wanted to sponge up the facts and figures, and was proud to raise my hand, hoping the teacher would pick me. Group work simply wasn’t as much fun or rewarding as the individual recognition and praise from the teacher. It’s only when I jog my 42-year-old brain to recall what made me enjoy school so much that I realize it was the interaction, the creativity, and the serendipity. But the scaffolding was sturdy and reassuring precisely because it was so rigid and didactic.

    The same with university. In my professional life, I proclaim my belief that the time for “post-campus education” has arrived. Speaking to a group of young interns, I explained recently that they could expect that their life-long learning had only just begun, and that by abandoning the oh-so-twentieth-century sequence in which you complete your degree and then go to work, they could more actively shape their future careers.

    And yet. I was a first-generation college student, going to a university in the U.S. when both my parents never made it past elementary school. My father was put into an orphanage. My mother was denied the education she strived for when her school was closed by the French colonial forces when the Algerian Revolution started. The university campus was for me the site of life-changing experiences.

    Today I am also the father of three boys. Nassim, my six-year-old, learned reading, writing and arithmetic this year. When it comes to his education, my approach is far-removed from cutting-edge education. I make him read and re-read texts, do and redo addition and subtraction exercises, drilling it in and checking constantly to see if it’s sunk in yet. Rewards are limited or non-existent with me. Sometimes he resists, complaining about the repetition or that it’s “too hard”. But he also seems to genuinely enjoy completing the exercises. I do this because I’m concerned that his public school teacher is going to be too “slack”, because he goes to school in a poor neighborhood in Paris where many of the kids face tough life circumstances, have parents who do not know how to read and write, and are considered by many (including teachers) to be destined for vocational training leading straight to unemployment. Especially if they are of Arab or African descent.

    So, what to do with such blatant contradictions between my professed interest in “new learning” and my personal experience? I believe this contradiction can be productive, meaning that I try to mobilize it to understand why colleagues and other interlocutors express skepticism about innovation in learning, whether explicitly or implicitly. And, yes, I’m also trying to rethink how I work with my sons after school. The world is changing. If we want learning to be supportive, participatory, inspiring, motivating, flexible… it’s not (only) because that will make learning a more pleasurable experience. It is because this is how our children (or those of others, for those to whom parents have delegated mass public education) will get the chance to develop the knowledge and skills they will need to not only survive but thrive — in the online classrooms before they learn the hard way, IRL.

    Photo credit: Mary Kalantzis (1983).

  • A few of my favorite excerpts from George Siemens’s Knowing Knowledge (2006)

    A few of my favorite excerpts from George Siemens’s Knowing Knowledge (2006)

    My own practice (and no doubt yours) has been shaped by many different learning theorists. George Siemens, for me, stands out articulating what I felt but did not know how to express about the changing nature of knowledge in the Digital Age. Below I’ve compiled a few of my favorite excerpts from his book Knowing Knowledge, published in 2006, two years before he taught the first Massive Open Online Course (MOOC) with Alec Couros and Stephen Downes.

    Learning has many dimensions. No one model or definition will fit every situation. CONTEXT IS CENTRAL. Learning is a peer to knowledge. To learn is to come to know. To know is to have learned. We seek knowledge so that we can make sense. Knowledge today requires a shift from cognitive processing to pattern recognition.

    Figure 5 Knowledge types

    Construction, while a useful metaphor, fails to align with our growing understanding that our mind is a connection-creating structure. We do not always construct (which is high cognitive load), but we do constantly connect.

    We learn foundational elements through courses…but we innovate through our own learning.

    Figure 17 Learning and knowledge domains

    The changing nature of knowledge

    The Achilles heel of existing theories rests in the pace of knowledge growth. All existing theories place processing (or interpretation) of knowledge on the individual doing the learning. This model works well if the knowledge flow is moderate. A constructivist view of learning, for example, suggests that we process, interpret, and derive personal meaning from different information formats. What happens, however, when knowledge is more of a deluge than a trickle? What happens when knowledge flows too fast for processing or interpreting?

    Figure 23 Knowledge as process, not product

    Knowledge has broken free from its moorings, its shackles. Those, like Francis Bacon, who equate knowledge with power, find that the masses are flooding the pools and reservoirs of the elite. […] The filters, gatekeepers, and organizers are awakening to a sea of change that leaves them adrift, clinging to their old methods of creating, controlling, and distributing knowledge. […] Left in the wake of cataclysmic change are the knowledge creation and holding structures of the past. The ideologies and philosophies of reality and knowing—battle spaces of thought and theory for the last several millennia—have fallen as guides.

    Libraries, schools, businesses—engines of productivity and society—are stretching under the heavy burden of change. New epistemological and ontological theories are being formed, as we will discuss shortly with connective knowledge. These changes do not wash away previous definitions of knowledge, but instead serve as the fertile top of multiple soil layers. […]

    Or consider email in its earlier days—many printed out a paper copy of emails, at least the important ones, and filed them in a file cabinet. Today we are beginning to see a shift with email products that archive and make email searchable and allow individuals to apply metadata at point of use (tagging).

    Knowledge has to be accessible at the point of need. Container-views of knowledge, artificially demarcated (courses, modules) for communication, are restrictive for this type of flow and easy-access learning.

    Everything is going digital. The end user is gaining control, elements are decentralizing, connections are being formed between formerly disparate resources and fields of information, and everything seems to be speeding up.

    “Know where” and “know who” are more important today that knowing what and how.

    Figure 16 Know Where

    Once flow becomes too rapid and complex, we need a model that allows individuals to learn and function in spite of the pace and flow.

    We need to separate the learner from the knowledge they hold. It is not really as absurd as it sounds. Consider the tools and processes we currently use for learning. Courses are static, textbooks are written years before actual use, classrooms are available at set times, and so on.

    The underlying assumption of corporate training and higher education centers on the notion that the world has not really changed.

    But it has. Employees cannot stay current by taking a course periodically. Content distribution models (books and courses) cannot keep pace with information and knowledge growth. Problems are becoming so complex that they cannot be contained in the mind of one individual—problems are held in a distributed manner across networks, with each node holding a part of the entire puzzle. Employees require the ability to rapidly form connections with other specialized nodes (people or knowledge objects). Rapidly creating connections with others results in a more holistic view of the problem or opportunity, a key requirement for decision making and action in a complex environment.

    How do we separate the learner from the knowledge? By focusing not on the content they need to know (content changes constantly and requires continual updating), but on the connections to nodes which continually filter and update content.

    Here is what the connectivism implementation cycle looks like as a mind map. (Click on the image to download the PDF).

    Connectivism implementation cycle (George Siemens, 2006)

    Source: George Siemens, Knowing Knowledge (2006).

    Image: TEDxNYED