Combining the best of the studio model with personalized learning: Is it doable?

I was recently at the NITLE (National Institute for Technology in Liberal Education) Summit meeting in Arlington, Virginia and John Seely Brown (JSB) gave the keynote address on “A New Culture of Learning for a World of Constant Change.” His speech made me wonder whether new virtual learning environments can combine the benefits of the studio model and the benefits of automated, but highly-personalized learning. But first a little summary of his talk.

First, he proposed three fundamental shifts that define the world as we know it in the 21st century.

  1. Explosion of data — Google’s former CEO, Eric Schmidt, says that every 2 days we create the same amount of information as we created from the dawn of civilization to 2003. I found an interesting analysis of this quote, but regardless of the exact numbers, the general trend is very clear.
  2. Exponential advances in computation storage and bandwidth: These shifts have led to cloud computing, GPU’s (graphics processors), machine learning that automatically processes vast amounts of content and usage patterns.
  3. Large-scale, deeply-connected problems. Grand challenges require an interdisciplinary, socio-technical (human process and technology) approach. As solutions are implemented, they change the problem.

The result of these changes are that the half life of skills is shrinking dramatically.

So the question that JSB poses is how do we educate people that will be able to thrive in this environment of constant change, discover opportunities, and tackle the grand challenges?

His idea, as I see it, is that the goal is to see ourselves as “designers”, “creators”, “producers”, and “makers” and to have the ability to empathize with others so solutions will be usable. People will constantly incorporate new skills in the pursuit of the current challenge and that will seem natural, rather than overwhelming. The ingredients for the human as designer are knowledge, play, and, making.

The studio model, where individuals or teams share a physical space and work in parallel on similar, but unique projects, provides the ingredients for learning and absorbing the identity of “creator”. In a studio, experienced “masters” provide critiques (advice that moves a project forward along its own trajectory), and everyone critiques, is critiqued, and benefits from the critiquing of other projects. Essentially, his recommendation is to incorporate this model into education as much as possible. (If you don’t know Olin College of Engineering, definitely check them out. I recently saw a talk by one of their faculty and they have embraced the idea of the studio model of learning completely. One of their design challenges has 5th graders judging the swimming ability and aesthetic appeal of college students’ robotic creations.)

My questions: I have been interested in “learning machines” research; investigating personalized and optimized individual learning that takes advantage of the data, storage, and computation now available to deliver knowledge and practice to students, just-in-time. Another benefit of open education resources (OER) is a giant pool of content for feeding into learning machines, thus tying in my fellowship goals.

If the studio model covers “making”, could learning machines cover the “knowing” part of the ingredients for human as maker?

Can the studio model be virtual without losing effectiveness, and maybe even create gains? Another Shuttleworth Foundation fellow, Philip Schmidt, co-founded P2PU, the Peer 2 Peer University, where learners organize courses and deliver and take them together, virtually. Others are also creating virtual environments for learning (University of the People, OpenStudy, Khan Academy to name a few). How much should virtual environments try and mimic the real world where people gather in one space at one time? Are critiques richer if they are delivered synchronously? Would thinking explicitly about how to incorporate more from the studio model enrich these environments?

What do education, highways, and OER have in common?

Welcome to my blog. Although I have been blogging for the past couple of years as part of the Connexions team on the Connexions blogs (blog.cnx.org, devblog.cnx.org), this is the inaugural entry for my personal blog. The main purpose of this blog, over the next year, is to communicate ideas, calls for action, calls for advice, and reports on progress in conjunction with my Shuttleworth Foundation fellowship to foster an ecosystem around open education resources (OER). I will also blog occasionally about research and projects that I am reading about that have to do with learning, usability, and open source software, three related passions of mine.

So first off, what do I mean about an ecosystem around open education software? I am going to start out with a series of analogies and if you have a few minutes, feel free to explore the video that I made (with some credited help) as part of my proposal for the fellowship.
The starting point is OER, those open education resources that many different visionaries, projects, and organizations are creating. The potential impact of open learning materials is three fold: first being freely available, open resources can potentially reach under-served learners all over the world and even for adequately and well-served learners they can free up economic resources for educational support and innovation; secondly, being open for adaptation, a much larger pool of talent (not just the original authors or publishers) can adapt resources to the needs of particular learners and improve resources through corrections and additions; and thirdly, openly reusable  resources can be used as components in research (results are easier to replicate if the ingredients are easily available) and learning environments (machine-assisted learning, peer group learning, teacher development). Essentially, open resources can act as a highway for distributing educational wealth and connecting learning innovations.

Currently, however, open resources are available in incompatible formats in many individual projects that aren’t easy to contribute to and adapt from. It is as if they are hidden down unmarked dirt roads. My goal is to accelerate both the production of high-quality, reusable OER and the development of innovative learning environments that build upon OER, by providing ‘sign posts’ and ‘on ramps’ to the highway of open education. Ecosystems on the web require proper infrastructure so that innovators’ services can work seamlessly together. Working with as many OER innovators as possible, I intend to spend the next year providing some of the infrastructure that has been missing, and then working with communities to develop a catalyst service that will unleash content and creativity. I will be blogging much more on what this catalyst service or tool might be, sharing my ideas and the ideas of many  others, and at the same time asking for your ideas.