“All that glitters is not gold” is one of the better known English proverbs. It means that not everything that looks glittery and precious turns out to be. That pearl of wisdom is also a tiny piece of true knowledge, found in Aesop’s Fables, Geoffrey Chaucer’s Canterbury Tales, and William Shakespeare’s Merchant of Venice, and it readily comes to mind when confronted with Michael Fullan and Maria Langworthy‘s recent conceptual invention, New Pedagogies of Deep Learning.
Since the launch of its first installment, A Rich Seam, with Sir Michael Barber at Pearson Learning in London, UK, back in January 2014, Fullan and Langworthy have been preaching the new gospel of Deep Learning at education conferences around the English-speaking world. “New teaching partnerships between teachers and students are the essential foundations of effective new pedagogies,” they claim, and are “beginning to emerge as digital access opens the door to broader and more varied sources of content knowledge.” These new pedagogies are capable of not only motivating “bored students” and “alienated teachers,” but “blowing the lid off” learning in the 21st century classroom.
The New Pedagogues funded by Pearson International, the world’s largest “learning corporation,” exude great faith in the power of learning technology. Fresh from Microsoft and its global research team, Langworthy sees “exciting things” happening in schools world-wide when teachers set aside knowledge “content delivery” and engage students using “collaboration” facilitated by the latest technology. While Fullan’s latest research partner holds a Ph.D. in Sociology from Boston University, she introduces herself with the phrase “I am a learner” (rather than a teacher), and claims that A Rich Seam is “trying to put some substance and conceptual rigour” around the theory.
Fullan and Langworthy’s grand theory is heavy on imaginative thinking and incredibly light on content. Tapping into the “rich seam” of the new pedagogies involves “deep collaboration” to “learn from and with your students.” Deep Learning seeks to develop what are termed Fullan’s Six Cs: character education, citizenship, collaboration, communication, creativity, and critical thinking, so, one is left to assume, the fundamentals of reading, writing and mental computation are just as passe as teaching content knowledge in the classroom.
The New Pedagogues, much like John Dewey and the old-school Progressives, tend to see factual knowledge in opposition to the kinds of abilities and thinking they seek to develop in students. While teaching isolated facts is clearly unhelpful, they go far beyond that in assuming that teaching facts is somehow opposed to teaching meaning and essential context. Indeed, as Daisy Christodoulou shows in Seven Myths about Education (2014), mastery of bodies of factual knowledge actually allow creativity, problem-solving and analysis to happen.
Exciting discoveries can happen spontaneously, but thinking well requires knowing facts. That’s the considered view of one of America’s leading cognitive scientists, Daniel T. Willingham. Based upon cognitive science research over the past 30 years, knowing things actually facilitates deeper thinking and learning. In Why Don’t Students Like School? (2009), Willingham put it succinctly: “The very processes that teachers care most about –critical thinking processes such as reasoning and problem solving –are intimately intertwined with factual knowledge that is stored in long-term memory (not just found in the environment).” So intertwined are they that one London English teacher, Joe Kirby, likens the development of knowledge and skills to a “double helix.”
Distinguishing between “deep” and “”surface” approaches to study is certainly not new and can be traced back to original empirical research in the 1970s. A 2013 literature review of “deep and surface learning” by J.S. Atherton clarified the differences and provided a useful comparison chart. Although learners may be classified as “deep” or “surface,” they are not necessarily attributes of individuals and are often found in combination with one another. They do correlate fairly closely with motivation, since “deep” tends to be associated with intrinsic motivation and “surface” with extrinsic. What is abundantly clear, however, is that knowing something is absolutely critical to “deep learning” and reflected in its first three characteristics: finding significance, relating previous knowledge to new knowledge, and relating knowledge from different courses.
Michael Fullan’s The New Pedgaogies of Deep Learning may well turn out to be yet another 21st century learning illusion. He’s now riding high on global rocket fuel provided by Sir Michael Barber and Pearson International. It is well advanced in Fullan’s educational ‘sandbox’, the Ontario school system, where he commands seemly unlimited research dollars and seems to appear on every “educational leadership” conference program. After four decades of “new initiatives” now long-forgotten, it’s incredible to read his rousing January 2014 call for “new pedagogies” capable of unleashing “rich futures” where “students and teachers” are “always learning” and it makes the whole “system” go round.
What’s really driving Michael Fullan’s latest project funded by Pearson Learning? Is it possible to truly learn deeply without a sound foundation in factual knowledge and subject content? How much of the New Pedagogies rests upon “21st century learning” conceptual thinking and false assumptions about the place of knowledge in student learning?