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“I can’t teach at Stanford again”

Open online courses really mess things up. The force educators/funders/learners to question the value point of traditional education. Over the past four years, many different open online courses have been offered – some through formal universities (U of Manitoba – Stephen Downes and I, BYU – David Wiley, U of Regina – Alec Couros, Stanford – Sebastian Thrun and Peter Norvig, U of Illinois -Ray Schroeder).

I have a long running question that influences my vision of education: If we were to design education today, without the legacy baggage of the existing system, what would it look like? I don’t have a clear answer, but I think it would look similar to open online courses: distributed, leveraging network effects, participative, peer/social pedagogy, large scale sensemaking, artifact creation and sharing, knowledge growth and domain expansion, etc. There is substance to massive open online courses (MOOCs) that goes well beyond the current buzz and hype. This substance, I believe, is about aligning teaching and learning with the way in which information is created, negotiated, and shared through digital and social networks. It is in direct contrast with the value proposition of the current university system.

I was still a bit surprised by this article today – Udacity and the future of universities. Sebastian Thrun, one of the facilitators of the open online course on Artificial Intelligence at Stanford (with over 130,000 students) has left the university, bailing on his tenure appointment to run a startup Udacity. Udacity will build on the open course models of teaching and learning.

Perhaps Thrun’s move shouldn’t be surprising. I’ve interacted with many learners in the open courses we’ve done, and I frequently hear the experience described as “transformative” or “life changing”. When the education system is synchronized with the interests and passions of learners, the process is invigorating and tremendously motivating. However, when learners and educators have to fight the existing education system in order to learn and teach, it’s time for dramatic change. Thrun has recognized that tomorrow’s education system will be a function of large-scale teaching and personalized, social, participative learning. Even then, it’s still surprising to hear him state that “I can’t teach at Stanford again.”

Online University Education in Canada

There is more activity in online learning (or, at minimum blended learning) in higher education than most universities realize. When I was at University of Manitoba, we tried to get a sense of what faculty were doing with technology in their courses, particularly with what was then called web 2.0 (doesn’t that almost feel like I’m referencing a trend in the 70′s? you know, like bell bottoms?). First, we looked at the formal university reports – annual reports of department activity. We found very little. We asked Deans to forward an email to their faculty asking about activity with participatory pedagogies/technologies. The response was significant – we found faculty and TAs using wikis, blogs, lecture capture tools, podcasts, clickers, second life, and mobiles for teaching. Activity with emerging technologies wasn’t formally recognized as it was outside of the scope of the things that the university valued.

Blindness to small-scale innovation in higher education is likely still a problem in most universities, but online learning is now recognized and researched. Athabasca University’s Deanna Douglas has produced an excellent report for Canadian Virtual University looking at: Online University Education in Canada: Challenges and Opportunities (.pdf). The report provides a succinct exploration of online learning and where Canada succeeds and where it fails. Policy groups and online learning agencies in other countries will find a broad overview of the structure of university-level online learning in Canada, enrolments, major players, and current trends. On a personal note, I was pleased to see that University of Manitoba listed the work Stephen Downes and I have done with massive open online courses (MOOCs) as an innovation (p. 31).

Overall, the report is not flattering to Canada. We are well behind other countries in online enrolments (p.17). We don’t have clear and comprehensive data on trends in this space (p. 16). For a complete list of barriers, see p. 25, p. 33, and p. 41-42 of the report. I hope, in spite of the challenges and barriers articulated, that this report will serve as a catalyst for policy, strategy, and funding considerations around online learning in Canada. But that hope is tempered with the realization that attempts at innovation and creating a national agency in the learning space doesn’t appear to be a current priority (note the discontinued funding of Canadian Council on Learning.

Lots of free learnin’ going on

2012 is shaping up to be a good year for open online learning experiences (Sanford is actively promoting open courses, David Wiley is running an openness in education course, Alec Couros will likely be doing his EC&I831 again, etc.).

I’m involved in several open online learning projects this year:

1. Ongoing from 2011: Change MOOC
2. Learning Analytics Open Course (sign up here) – Starts January 23.
3. Stephen Downes and I will be offering Connectivism and Connective Knowledge 2012 starting January 23. More info soon on sign up
4. I’m helping to organize an online conference – Follow the Sun – a multi-day, 24 hour per day, online conference with keynotes addressing various aspects of how technology is influencing various knowledge domains.

Right to know versus the nature of digital information

In eras of dramatic change – such as militarization in ancient Rome and the French Revolution/Industrial Revolution – existing mindsets and institutions are, in Schumpeter’s words, creatively destroyed. The newspaper, recording, and TV industries have experienced this recently as digital information comes into its own and sheds legacy structures (such as the “album” or the “newspaper”). Politicians have certainly felt the inability to control narratives and restrict information flow in 2011.

An interesting case symbolizes the balance between control and the attributes of digital information: whether or not to publish the results of engineered bird flu. The short version: “Inside a Dutch medical facility is a potentially devastating weapon that could kill millions: A genetically modified version of the H5N1 bird flu, engineered to be easily transmitted among ferrets. And the researchers who figured out how to do it would like to share their work with the world.”

The challenge in this instance goes beyond ethics. Can scientists reasonably expect to keep digital information secure, especially when it is part of a scientific community and requires peer review? Wikileaks has made it difficult for the US Military to keep secrets. Digital information, held in social networks, can’t be regulated and controlled.

Khan and AI: Open Online Courses

I just listened to a great video discussion – Khan Academy and Stanford AI Class: Reinventing Education – with Peter Norvig, Sebastian Thrun, and Sal Khan. It’s a candid discussion of what each of these educators wanted to achieve with opening up their courses and content and some of the challenges they faced in the process. Most importantly, they (particularly Sebastian) discuss where they were wrong in their previous assumptions about learning.

I’ve been a bit frustrated in the past (actually, I still am) that the history of open courses has not been fully reflected in conversation about the Stanford AI class. People like David Wiley, Alec Couros, Stephen Downes and others have been running open courses since 2007 (this insidehighered article does touch on the history). Audrey Watters captures my thinking when she states: “What does it mean — culturally, pedagogically, politically, financially — that Stanford garners so much buzz for its free online courses while other MOOCs (Massively Open Online Courses) go unheralded?”. However, I’m sure there are educators pre-2007 who are saying “hey, we’re not getting credit for our work with open courses!”.

But that’s a personal ego gripe. It’s encouraging to see educators and trainers exploring the scaling capacity of learning through the use of technology. I enjoyed listening to the reflections of Sal, Sebastian, and Peter. They are excited, as many of us teaching open online courses are, about the capacity for accessible learning opportunities to increase student control and empowerment. Many of their proclamations (decoupling assessment from teaching, the creativity of learners when they don’t face organizational barriers, the power of the online experience) will be familiar to many who have followed our open courses. Interestingly, Thrun stated that online learners did better (by a factor of 2 with those making top grades) than in class learners.

It’s good to have growing diversity in researchers and educators offering alternative course models. As more people experiment with open online course, new tools will be developed and recognition of the value of open learning will also (hopefully) increase.

Open Learning Analytics: A proposal

Learning analytics are increasingly relevant, and prominent, in education. Startups and established software vendors are targeting learning analytics in their product offerings for the education and training and development sector. Many of the companies that serve the higher education market– including Sungard, Blackboard, and Pearson – are already heavily committed to analytics. Analytics is quickly becoming a term that gets slapped onto any existing product (remember social media from a few years ago? Suddenly, everything was “social”. In education, everything is becoming “data” and “analytics”). Fortunately, analytics can be much more than a software marketing value-added term.

To some degree, all educators are involved in analytics. It might be as basic as being the end-user of a recommender system when buying a book online or as complex as using curriculum pathways to determine the prospect of student success. And, when we’re not the ones analyzing data, our digital data trails are fodder for others who are. I don’t think I’m over speaking when I state that in five years, analytics tools and suites will be as central in higher education learning management and enterprise resource management systems are today. The reason is simple: learning analytics provide insight into what is happening in the learning process and how teaching and learning strategies impact learner success. Of course, analytics in education go beyond only learner success and can provide insight into the outcome of systemic reform initiatives as well as general resource allocation (I have a short post on my learning analytics site on the topic).

Given the importance of analytics in education, we need to have an early discussion on openness. Why not start with an open system rather than adding openness on as an afterthought once systems are already established? Why not learn from the experiences of previous system-wide software development processes (i.e. LMS) and apply those lessons right up front in the planning process?

To address the need for openness of platforms, algorithms and ensure that the learning process remains a key focus, a group of us have proposed the development of an open learning analytics architecture/platform. We’ve posted our (beta) vision online: Open Learning Analytics: an integrated & modularized platform (.pdf). We are interested in hearing from, and partnering with, others – researchers, educators, universities, schools, startups, and corporate partners (learning and development departments). We have submitted several grant applications and have a few more that will be submitted in the next six months (one early response chastised us for being “too ambitious”. I solidly reject that assertion. Why is it that corporate entities can have ambitious plans but researchers are expected to think in isolated minutiae? Researchers need to think in systems and platforms in order to have an impact).

Additionally, we (Simon Buckingham Shum, Shane Dawson, Erik Duval, Dragan Gasevic, and myself) are offering an open online course on learning analytics starting January 2012. Sign up is available here. Finally, if you’re interested, we are hosting our 2nd conference on Learning Analytics and Knowledge in Vancouver at the end of April.

I’ve embedded a presentation below I did at IADIS conference at East China Normal University in Shanghai this past week on Envisioning a System Wide Learning Analytics Platform (slide 31 details some of the principles behind the project):

A few thoughts on China and education

I just landed in Vancouver after a short trip to Shanghai to present at the IADIS conference hosted by East China Normal University. One of the faculty members (Ren Youqun, I believe) from this university translated Knowing Knowledge into Chinese. This is my second trip in the last three weeks – I was in Guangzhou at the end of November visiting South China Normal University and Sun Yatsen University. So, other than being rather irritable and jet lagged, I have a few quick reactions to share about my experiences in Guangzhou and Shanghai.

1. I’ve never been in a country with the optimism I found in China – the students I spoke with had a strong sense of China coming into its own. We are entering Chinese century (or several). By 2020, their economy (gdp) is expected to be about $20 trillion annually. This forecast seems to vary a fair bit, depending on how much the speaker or organization is trying to scare listeners with the west to east power shift. The faculty, students, and government officials that I spoke with are well aware that they are entering their destiny as a superpower. I met a few western researchers – who have worked in China for over a decade – and they described how China is becoming more assertive with partnerships and joint ventures. China is not willing to simply have their students poached by higher education systems around the world. China is experiencing rapid growth in the numbers of international students studying for a degree (rather than only spending a year for the “Chinese experience”).

2. My hosts were exceptionally courteous. I spoke at a K-12 conference in Nanhai District (just outside of Guangzhou). The program to kick off the conference included about 1 1/2 hours of greetings from various levels of government. Dinners and lunches included a stream of dishes that I simply couldn’t keep up with. The key, apparently, is to taste, not eat everything. Chinese visitors to other countries must feel like we’re a bunch of slouches – we simply don’t honour our guests the way they do.

3. The construction is astonishing. So is the smog. I’ve seen documentaries and read articles about both, but until you experience it in person, it’s not real. The construction in particular is mind boggling. Roads, buildings, railways, and airports are being built on a scale that I don’t think has ever happened in human history.

4. Social spaces are impressive. In Guangzhou, my hosts took me down to the Pearl River late one evening. The walkway and park areas were packed – people were dancing, performing, singing, or just randomly hanging out. The energy was contagious. I felt the urge to take up Thai Chi. Or singing. Or something artistic and social.

5. The internet in China is unusable. At least for me. Diigo didn’t work. Gmail was hit and miss. Twitter didn’t work. Niether did Facebook (but that’s not a loss for me, I’m rarely there anymore). My daily information habits (google reader, tag in diigo, tweet, etc) simply didn’t work. I do a fair bit of traveling and I’ve never felt as disconnected as I did in China. However, this doesn’t mean that they don’t use twitter-like tools. I came across this presentation – Social Media In China – that provides a good overview of the tools and technologies available. I’m starting to think that China blocks services less for censorship and more for giving their software companies an opportunity to gain traction.

6. I should learn Mandarin. So should my kids.

7. As polite, courteous, and attentive as my hosts were, they work their speakers like rented mules :) . Their culture is very much one of learning and wanting to glean what they can from others. The passion for learning is something I haven’t experienced as intensely elsewhere as I did in China. The day would start with a breakfast meeting, followed by two hour presentations, working lunch, afternoon sessions, travel to evening presentation, social dinner, presentations until late in the evening. At least this was the pace in Guangzhou. I’m told Shanghai has a less hectic pace. I was disoriented most of the time – English road signs are common – but I really was at the mercy of my hosts. There is very little I could do on my own. In Europe, I can get by with English. In China, I very rapidly discovered I needed translators. I couldn’t order a coffee (tea) or beverage on my own. Even hand gestures were futile. It’s quite a fatiquing process.

Finally, a few quick notes from the IADIS conference, particularly Prof Gao Hong Qing: Dean of Network Center, He Nan Normal University, China. He spoke on the topic of Cloud computing in China Education

Internet Stats in China:
457 million online
34.4% penetration
Over 300 million mobile internet users
73 million new users in last year alone (2009 to 2010)
78% access internet via desktop
66.2% mobile
45.7% laptop (but fastest growing segment (2010)
Time online: 18.3 hours per week (2010). Slight decrease from 2009.
Ages 10-29 largest users of internet

Learning online:
Growing rapidly (no stats given)
Open University of China – largest online university in the world
Modern distance education project in rural primary/secondary schools (all classrooms can connect to the internet).
Currently 2429 university/colleges linked to china education and research network. 64, 797 middle/primary schools.
IT needs to help universities address their “business challenges” of doing more with less, reduced risk, etc.
Cloud computing in China: 660 million yuan ($103 million) has been allocated for cloud computing research

The prominence of US-based tech firms was significant: Microsoft has a huge footprint. As does Cisco. The language of the presentations (especially on cloud computing) was indistinguishable from what I hear at western conferences.

Emergent learning, connections, design for learning

IRRODL continues to solidify its reputation as the leading journal in the educational technology field that balances thoughtful research with very timely and relevant journal themes, as indicated by the latest special issue – Emergent Learning, Connections, Design for Learning. IRRODL seems to capture the zeitgeist of online learning more rapidly than others. Congrats to Terry Anderson (editor) and Rod Sims & Elena Kays (editors of this special issue) for an outstanding publication.

Not sure if a disclaimer is necessary, as I’m sure readers will make up their own minds and I wasn’t involved with this IRRODL issue. However, just in case, several of the articles reference open online courses that I’ve helped to organize.

Complexity, Information, and Education

I’m in Rijeka, Croatia. It’s my first visit hear and it’s a beautiful country. The scenery is spectacular. Unfortunately, most of my time has been spent in a hotel room writing and getting caught up on email/work, etc. Wasn’t traveling fun *before* we could take our work with us?!

I’ve uploaded the slides from my presentation this morning:

Starling Murmuration

Have a look at this video (a few static images kick off the video, but the fun stuff begins shortly after):

Murmuration from Sophie Windsor Clive on Vimeo.

I’m always looking for metaphors, models, and analogies that can tease out learning and knowledge, and the social connective actions that give rise to both. This week, for example, in #change11, Dave Cormier is discussing rhizomes as a metaphor or way to think about learning. Similarly, starling murmurations provide a brilliant example of how systems, comprised of individual agents, can synchronize to produce fascinating activity.