Blog
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ASTD Learning Executive Briefing: Reda Sadki
This article was first published by the ASTD’s Learning Executive Briefing.
Reda Sadki is the Senior Officer for Learning Systems at the International Federation of Red Cross and Red Crescent Societies (IFRC)
Q: Why do you think the Red Cross Movement has a deeply rooted culture of face-to-face training for its 13.6 million volunteers?
A: There is a deeply rooted culture of face-to-face training at the Red Cross because of our unique brick and mortar network of hundreds of thousands of branch offices all over the world. What drives people to the branches is that they want to learn a skill, such as first aid, disaster risk reduction, and we’re really good at teaching those things.
In the future, educational technology might enable us to connect branches to each other. Imagine what the person in Muskogee, Oklahoma, can learn from the Pakistani Red Crescent volunteer who lived through the Karachi, Pakistan flood in 2010, and who participated in the recovery efforts afterward. That sharing of knowledge and skills would be an enriching and valuable experience. Technology will enable us to put such connections at the heart of the volunteer experience.
Q: What are the challenges in connecting the 187 national Red Cross/Red Crescent societies and using social, peer-based learning to link them to each other in a vast, global knowledge community?
A: In the 21st Century, such connections may prove indispensable for anyone working for change at the community level, most obviously on global issues with local impact and consequences, such as climate change. We need to improve lateral connections by bringing technology into the branches. We also need to find ways to reassure the headquarters of each of these national societies that local, community-based, volunteer networks are a good thing and not threatening to existing hierarchies. Currently, our web-conferencing still feels like a sub-par experience compared to getting volunteers together.
We’re waiting for web-conferencing to create a presence similar to the power of face-to-face training. Google engineers have been trying to recreate the fireside chat with Google Hangouts. What makes the branch experience so powerful is you get to know people and spend time with them after the training is over. Some of the challenges are parallel to those of MOOCs (Massive Open Online Courses) and on-line education. Part of what’s at stake is can we recreate not only the knowledge transfer, but improve on the advantages of face-to-face encounters.
Q: Tell our readers about the online courses for specialized disaster response teams, how they are formatted, and how effective they have been.
A: The recruitment and preparation of IFRC’s specialized disaster response teams have ramped up their use of educational technology in the last three years by developing online courses. In 2009, we launched our first online CD-rom course: The World of Red Cross/Red Crescent. The intent was to show that eLearning was a serious thing. It’s a very information-heavy course in which there is little for the learner to do except try to retain enough information to pass the quiz.
We’re now doing scenario-based online courses where people have to problem-solve, make choices, and see the consequences of those choices. We have moved to a technology that uses HTML 5 and responsive design, a technology that enables a course to reformat and resize, so it can be used on a tablet, smart phone, or desktop screen. The pedagogy is based on things that connect to our learning culture. The technology is based on the reality that people in emerging countries, if they have access to the Internet at all, are accessing it through a mobile device. For example, in Egypt, 80 percent of people have Internet access only though their cell phones.
Q: How has this pioneering use of online education as didactic prerequisites to lessen the information load during face-to-face training led to a broader conversation about the purpose of training and questions about the quality of current learning systems?
A: In 2010, the IFRC spent almost $24 million dollars at the Secretariat in Geneva on workshops and training, almost all of which were face-to-face. Initially, people questioned the legitimacy and efficacy of online learning. Then we realized we had never evaluated our face-to-face training. A big part of our efforts involved comparing online and blended learning to face-to-face learning. We referred to two meta-analysis studies published in 2010 comparing online with blended learning. These studies found that online learning gets a slightly better outcome, and showed no benefits from blended learning. Such evidence helped us shift the debate. There are many more complex and interesting issues we can explore, but the argument of which modality is better has been settled.
Now we can focus on when there is value to moving bodies and materials at high cost: what materials do we move, and what do these bodies do once they’re there? Our emergency health public coordinator has explained that when volunteers are in training, they hang out, get to know each other, and become friends. In the heat of an operation, when one volunteer has to tell someone that he is doing something wrong, that is likely to be accepted because of the friendship. So the question is how do we build such connections using educational technology.
Q: How has the Red Cross Learning Network stimulated new thinking in the humanitarian and development field and increased the magnitude, quality, and impact of humanitarian service delivery?
A: To start, it has enabled volunteers to tap into a global knowledge community with no intermediaries prescribing or circumscribing what they should learn. We have found there are increasing numbers of people on our learning platform and those numbers are growing every month. There is a dynamic through which national staff and volunteers all over the world discover the learning platform on their own, and they see value in it for themselves. We have a completion rate of over 50 percent for the information transmission modules.
The learning platform tries to do two things. One is to encourage those who are eager to learn, to manage their own learning. That is at the heart of social learning. At the same time, we’re looking at helping learning and development managers to be able to use these tools. The message I give when I go to the various Red Cross headquarters is your staff and volunteers are already completing courses: would you like to know which courses they’re taking and how well they’re doing? Would you then like to be able to prescribe a learning focus for teams that have performance gaps? We need both a structured and managed approach to learning as well as a people-driven approach.
Q: Are your new eLearning platforms cost-effective and how well do they work?
A: To deliver one-hour of training online through the learning platform costs a licensing fee of $0.50. Delivering one hour of face- to-face training is roughly $50 USD. Clearly, it’s 100 times cheaper to deliver learning online. This is the argument which gets senior management’s attention. It’s cheaper, but can it possibly be as good? Because we haven’t in the past evaluated the face-to-face training, there is no secretariat-wide effort to evaluate training for all 187 headquarters. Comparing online to face-to-face is tough, and we are currently building an evaluation framework for both kinds of learning, where all new courses are required to include a follow-up evaluation.
The cost effectiveness is complicated, because the development of an online course is more expensive than that for face-to-face. With face-to-face, someone develops a power point, we give him a plane ticket, and he gives the lecture. You can have multiple branches funding that kind of training, and it can be spread out over time, so any time a national society has a budget, they organize a new training module. However, over time the cost really adds up.
On the other hand, if you want to design a new online course, you have to think through the pedagogy, the technology, the content, and that’s all front-loaded work. Finding the money for that work on the promise of effectiveness has turned out to be challenging. We want to keep all of the good things about the face-to-face culture, but we also need to make sure every dollar is used to maximize the services to vulnerable people, which is the heart of our mission.
Q: How might a collaborative learning community be developed for volunteers across language and other barriers?
A: Crowd sourcing is the easy answer. We already have virtual volunteers doing amazing things, such as crisis mapping, entirely online. An example is the Haiti earthquake. There were thousands of people online (such as rescue teams) who voluntarily collected and analyzed data. There is a lot of debate in the humanitarian world as how to use that, and one of the problems is that we need to be massively multi-lingual. Our learning platform is being translated into 38 different languages, and we’re using a needs-driven approach. When a Red Cross unit says they need a course in the local language, then we’ll mobilize resources to provide the content.
Q: What were the results of the pilot “new learning” program, based on research on open learning and MOOCs, to promote global, open, active learning (GOAL)?
A: The Global Youth Conference brought together in Vienna, Austria, 155 youth leaders from all over the world. We had 775 people from over 70 countries working together online – four times as many learning online as gathered for the conference events. The Vienna event lasted three days, whereas online, people worked together for six weeks on the same four thematic areas. We asked people to self-assess how much they learned, and 58 percent reported working consistently on the open learning activities. We had more than 40 percent who spent at least one hour each week on the learning activities, and 58 percent reported they had learned a lot. Many of those people have kept the connections they’ve established during the program. We are now seeing young people organizing their own learning activities on issues such as nuclear disarmament, using the tools they discovered in the GOAL program.
Reda Sadki is the Senior Learning Systems Officer in the Learning and Research Department of the International Federation of Red Cross and Red Crescent Societies (IFRC).
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Teaching logistics with haptic feedback
EPFL’s Professor Pierre Dillenbourg heads the Center for Digital Education. He demonstrates the use of a Simpliquity Tinkerlamp to teach logistics training, and explains how research has moved from developing an expensive, specialized device to using a simple webcam and paper. Note: interview and discussion are in French.
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Learning in a VUCA world: IFRC FACT and ERU Global Meeting (Vienna, 31 May 2013)
Presentation at the IFRC FACT and ERU Global Meeting (Vienna, 31 May 2013), exploring how we learn in a complex world.
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Accreditation in higher education is based primarily on inputs rather than outcomes
Burck Smith describes how accreditation is based primarily on a higher education institution’s inputs rather than its outcomes, and creates an “iron triangle” to maintain high prices, keep out new entrants, and resist change.
To be accredited, a college must meet a variety of criteria, but most of these deal with a college’s inputs rather than its outcomes [emphasis mine]. Furthermore, only providers of entire degree programs (rather than individual courses) can be accredited. And even though they are accredited by the same organizations, colleges have complete discretion over their “articulation” policies—the agreements that stipulate the credits that they will honor or deny when transferred from somewhere else. This inherent conflict of interest between the provision of courses and the certification of other’s courses is a powerful tool to keep competition out. Articulation agreements, like API’s for computer operating systems, are the standards that enable or deny integration. In short, by controlling the flow of funding, accreditation insures a number of things: All colleges look reasonably similar to each other, the college can’t easily be “disaggregated” into individual courses, and coursework provided by those outside of accreditation can’t easily be counted as credible.
Lastly, to further tip the scales toward incumbent providers, accreditation bodies are funded by member colleges, and accreditation reviews are conducted by representatives from the colleges themselves. The “iron triangle” of input-focused accreditation, taxpayer subsidies tied to accreditation, and subjective course articulation ensures that almost all of the taxpayer funds set aside for higher education flows to providers that look the same. And by keeping innovations out, colleges can maintain their pricing structures [emphasis mine].
This explains why most online courses are priced the same or higher than face-to-face courses despite massive cost efficiencies. Such enormous profit margins available to the delivery of accredited online learning explains the quick growth of for-profit colleges, nonprofit colleges offering online degree programs in conjunction with private-sector providers who share in tuition revenue, and colleges running separate online divisions that subsidize face-to-face operations.
A more accurate characterization of today’s higher education is that individual colleges offer online learning as a “feature,” but use their regulatory clout as a group to resist disruption.
Source: Young, J.R., McCormick, T., Smith, B. (Eds.), 2012. Disrupting College: Lessons from iTunes, in: Rebooting the Academy: 12 Tech Innovators Who Are Transforming Campuses. The Chronicle of Higher Education, Washington D.C.
See also: Kaufmann Foundation report, College 2.0: An Entrepreneurial Approach to Reforming Higher Education and Burck Smith’s blog post similar to the quoted article.
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Badges for online learning: gimmick or game-changer?
As I’ve been thinking about building a MOOC for the 13.1 million Red Cross and Red Crescent volunteers, I’ve become increasingly interested in connectivism. One of the platforms I’ve discovered is called P2PU (“Peer To Peer University”), which draws heavily on connectivist ideas.
Surprise: on P2PU there is a debate raging on about badges, of all things. I initially scoffed. I’ve seen badges on Khan Academy and have read that they are very popular with learners, but did not really seriously consider these badges to be anything more than gimmicks.
It turns out that badges are serious learning tools, and that makes sense from a connectivist perspective. A white paper from the Mozilla Foundation summarizes why and how, drawing on an earlier paper from P2PU’s co-founder Philipp Schmidt.
George Siemens’s (2005) connectivism theory of learning is said to go “beyond traditional theories of learning (such as behaviorism, cognitivism, and constructivism) to include technology as a core element”. So badges in this theory would use technology itself ot make connections between learners.
First, it is claimed that badges can capture and translate learning across contexts, with more granularity (detail) than degrees or cumulative grades, with a badge for each specific skill or quality — and showing off progression over time as badges accumulate (like medals pinned to a soldier’s chest or a general’s stripes). Therefore badges could signal achievement and be matched to specific job requirements.
Second, badges are meant to encourage and motivate “participation and learning outcomes”. They are feedback mechanism — both gateway and signpost — on a learning path, ie showing what can be learned and when, as in Khan Academy’s Google-style map going from basic addition to multivariate calculus. In addition, they can also cover or highlight informal or soft skills of the kind that formal education doesn’t account for. And, in fact, making new badges available can be done in real time, fast enough to keep up with the pace of the fastest-changing fields (like IT or web development).
Third, badges are thought to formalize and enhance social connections, as they can be considered a mechanism to promote identity and reputation within a learning community. By doing so, badges may in fact foster community, bringing together peers to formalize teams or communities of practice.
There’s quite a bit of enthusiasm online for badges as successors to pre-digital forms of accreditation and authority, like university diplomas and CVs. For example, Jacy Hood, director of College Open Textbooks, declared in a blog comment: ”We are optimistic that Mozilla Badges will become the new international educational currency/credentials and that traditional education institutions will recognize, accept, and award these badges.”
Edutech blogger Mitchel Resnick explains that he is an increasingly lone voice to express skepticism about badges:
I worry that students will focus on accumulating badges rather than making connections with the ideas and material associated with the badges – the same way that students too often focus on grades in a class rather than the material in the class, or the points in an educational game rather than the ideas in the game. Simply engaging students is not enough. They need to be engaged for the right reasons.
For Resnick, it is the perception of a badge as a reward that throws back to behaviorist thinking:
When we develop educational technologies and activities in my research group, we explicitly try to avoid anything that might be perceived as a reward – what Alfie Kohn characterizes as “Do this and you’ll get that.” Instead, we are constantly looking for ways to help young people build on their own interests, and providing them with opportunities to take on new roles.
However, it really depents on the “Do this” component: what is the learner being asked to do? If it can be performed without engagement, then Resnick may be right. This implies that the reward component may not be the sole function of the badge itself but will depend on the activities required to obtain it.
I started writing this as a badge skeptic. Yet, I’m already starting to think of additional benefits: in a visual online world, badges are visual indicators, rather than text on a screen. They can therefore mobilize visual symbols to trigger our cultural and emotional sensibilities, without requiring reading effort on our part. By looking a badge, we can recognize its shape, colors and design and identify its meaning. This is pretty powerful stuff for learning.
What do you think?
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Thinking about learning technology: is the product metaphor obsolete?
In my work, I am constantly discovering and evaluating new web sites and online services related to learning in some way. Increasingly, I’m wondering if there can be an underlying method for assessing them that is different from the prevailing consumerist, product metaphor.
What I mean is that we tend to look at a learning technology as if it were a product that we will consume if we adopt it in our learning/teaching practice. This is not necessarily a bad thing. Ultimately, we do have to make pragmatic, practical decisions: do I use Schoology or Edmodo or Scholar for my project? It seems to me like we are quite “naturally” thinking as *consumers* of learning technology, as we do in our daily lives making choices about whether we use Facebook or Twitter (or neither), keep our e-mail on Hotmail or GMail, etc.
One limitation I see with this product approach is that thinking about learning is quickly reduced to listing and comparing technical features. The traditional IT approach in choosing a technology involves building 1) use cases and 2) requirements and then trying to find the software package, platform, or service that most closely matches these. I have seen the most disastrous outcomes from this classical kind of analysis.
I’m not saying that we shouldn’t think about feature sets, requirements or use cases. I just question that they come up first in discussion. I think this happens because “detecting” the underlying learning theory that underpins a learning system is much more difficult. And it’s not only about understanding what the project proponents grounded themselves in, but also looking at the gap between the intended theoretical underpinning and the live product. A good example is Moodle: I love the concepts, the history, the open access and the open source. But I fail to recognize the constructivism claimed by its authors when I see how mechanistic, do-this-get-that it quickly becomes. Doing peer review is outside its boundaries. Multiple-choice quizzes are inside. Scary — and not very constructivist, sorry. From reading Moodle case studies, I can see that good teachers are able to squeeze constructivism out of Moodle — but a good teacher can probably do that with just about any system, and I fail to see how Moodle is making it easier.
From my own experience in search of the holy grail of learning systems, I’ve drawn the frightening conclusion that we live in a world in which we can expect an exponentially growing number of online systems for learning, propelled by various ideas which have less and less to do with learning, more and more with corporate takeover and control of education, and less and less likely to meet our specific needs, much less be grounded in the specific remix of learning theories that we see as relevant to our learning community.
One implication: we need to give up on the idea of a centralized platform that can meet all our needs — and be grounded in coherent learning theory that leads to sensible teaching and learning practice.
Fortunately — and not just because I tend to be an optimist — I also believe that as the online world becomes increasingly fragmented, we are also developing the tools to pick and choose useful tools from the chaos, to which we can then creatively add identity (this is where visual design is important, as with the badges, etc.) to make a stable learning system. Most important, we need make these choices informed by a specific set of theories which we use as tools to make decisions on how we set up a course, how we determine its content, who “we” are (is it teachers, students, or both?), etc.
Philipp Schmidt from P2PU.org recently showed me The Mechanical MOOC, a good prototype for this kind of thinking and its application. It is a mashup or remix that relies on multiple platforms and tools, with technological scaffolding to glue the tools together, branding to give it identity. We know about *scaffolding* learning. We may want to think about *scaffolding* technology. (NYT article about this latest P2PU project)
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Mobile learning: the “anywhere” in the affordance of ubiquity
When I look at my Facebook friends online, I can see that most of them are connected, almost 24/7, via their phones. Those connected from a laptop or desktop computer (shown by a green dot instead of a little phone icon) are an ever-dwindling minority.
As Scholar is meant to be a social application for learning, I thought it might be useful to reflect on what mobile means for learning. Recently, I invited mobile design expert Josh Clark to explain to a Red Cross audience why we should design our applications (including those for learning) using a mobile-first strategy. He’s not a learning guy, but I haven’t been able to find a learning expert with useful insights on these issues (as I explain in my conclusion). You can read about Josh’s work on the web here, for example:
Josh’s first point is that we have a “condescending” view of mobile, seeing it as a “lite” version of the “full” desktop experience. This view is wrong, and to demonstrate this he debunks several mobile myths: “We have some really stubborn myths about mobile users, really screwing up the way we provide mobile services.”
Myth #1 is that “mobile users are rushed and distracted”, with a short attention span. With mobile learning, this has translated into little info tidbits or short exercises. MIT’s Open CourseWare (OCW) iPhone app, for example, starts up with a message warning that it’s “a subset” of the OCW catalog.
Yes, sometimes you use your mobile device for information on the go. But that’s far from the only use case. Mobile is also on the couch, in the kitchen, on the bed, or during a 3-hour layover… and, last but not least, sitting on the throne (according to Josh, 40% admit to using phones in bathroom).
Those mobile contexts allow us to concentrate and focus on content. They are non-traditional (for now) contexts of engagement which can make learning more pleasurable (because of the level of comfort, by saving us from boredom during that layover, etc.).
So what do users expect from a mobile application? 85% expect mobile to be *at least as good* as desktop. Why would this be any different for students or other learners? We do everything on our phones that it seems obvious we are now at a point where the concept of a distinct, discrete *mLearning* makes no sense.
OK, so if mobile doesn’t necessarily mean rushed users, what about small screen sizes? Doesn’t that physical limitation place limits on learning?
The screen size raises the issue of visual presentation of learning content. Yes, we have built a lot of user interaction and interface conventions on the assumption of a 4:3 or 16:9 screen ratio. This goes back a while for machine learning, starting with Macromedia Director interfaces in the 1990s that imposed 640 x 480 pixels as a “standard” screen size for interactive, animated content. So we have at least 20 years of thinking reliant on the model of eLearning that some are now trying to painstakingly reduce by changing the “e” in learning to the “m”.
I agree with Josh that the real answer is not in this alphabet soup. Don’t confuse context with intent. We make too many assumptions from screen size. Screen size should not be an excuse to limit functionality. Using small screen does not equal wanting to do less. It would be like saying that because paperbacks have smaller pages, you have to remove entire chapters. The trick is to make complexity uncomplicated. There’s a difference.
Mobile websites/apps should have full content/tools. Yes, they may be displayed differently and hierarchy may change. Some devices may be better suited to some tasks than others — so EMPHASIZE different content on different devices. But don’t arbitrarily give me LESS. That goes not only for individual sites but for families of sites.
A lot of people ONLY use their phone. And of course perhaps the more expected numbers from developing world: In Egypt, 70% of net users rely solely on their phones. In India, it’s 59%. Ghana: 55%. Kenya: 54%. Nigeria: 50%. OK, you say, but these are developing countries where desktop computers and broadband access are expensive. But wait, what’s this… 25% in the US and 22% in the UK use *only* their phone. Another 28% of US mobile web users *mostly* use mobile web.
And, if we are talking about teaching young people, I’m sure these stats are much higher.
This group of mobile-only or mostly-mobile users definitely expect to do everything on mobile. If we care about reaching them or teaching them, we have to care about hitting them on mobile.
For individual-learner click-through online learning modules, I’ve recently sent out two requests for proposals to over 20 companies that specialize in building such modules to support adult learning. Not a single one actually can currently deliver a mobile-first strategy. Yet, the tools and techniques to build a single code base (using HTML5 to replace Flash for animation and a technique called responsive design) already exist and are in wide use in other areas — just not in learning. Yes, they all know it’s a long-term trend, but in many of the responses I received they proposed to build a separate, “lite” version of the “real” learning modules. Exactly the opposite of what I think is needed. And the stats cited above (as well as more insightful analysis from Josh and other designers) make a strong case that this needs to happen today, not in some distant future.
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Mobile learning: the “anywhere” in the affordance of ubiquity
When I look at my Facebook friends online, I can see that most of them are connected, almost 24/7, via their phones. Those connected from a laptop or desktop computer (shown by a green dot instead of a little phone icon) are an ever-dwindling minority.
As Scholar is meant to be a social application for learning, I thought it might be useful to reflect on what mobile means for learning. Recently, I invited mobile design expert Josh Clark to explain to a Red Cross audience why we should design our applications (including those for learning) using a mobile-first strategy. He’s not a learning guy, but I haven’t been able to find a learning expert with useful insights on these issues (as I explain in my conclusion). You can read about Josh’s work on the web here, for example:
Josh’s first point is that we have a “condescending” view of mobile, seeing it as a “lite” version of the “full” desktop experience. This view is wrong, and to demonstrate this he debunks several mobile myths: “We have some really stubborn myths about mobile users, really screwing up the way we provide mobile services.”
Myth #1 is that “mobile users are rushed and distracted”, with a short attention span. With mobile learning, this has translated into little info tidbits or short exercises. MIT’s Open CourseWare (OCW) iPhone app, for example, starts up with a message warning that it’s “a subset” of the OCW catalog.
Yes, sometimes you use your mobile device for information on the go. But that’s far from the only use case. Mobile is also on the couch, in the kitchen, on the bed, or during a 3-hour layover… and, last but not least, sitting on the throne (according to Josh, 40% admit to using phones in bathroom).
Those mobile contexts allow us to concentrate and focus on content. They are non-traditional (for now) contexts of engagement which can make learning more pleasurable (because of the level of comfort, by saving us from boredom during that layover, etc.).
So what do users expect from a mobile application? 85% expect mobile to be at least as good as desktop. Why would this be any different for students or other learners? We do everything on our phones that it seems obvious we are now at a point where the concept of a distinct, discrete mLearning makes no sense.
OK, so if mobile doesn’t necessarily mean rushed users, what about small screen sizes? Doesn’t that physical limitation place limits on learning?
The screen size raises the issue of visual presentation of learning content. Yes, we have built a lot of user interaction and interface conventions on the assumption of a 4:3 or 16:9 screen ratio. This goes back a while for machine learning, starting with Macromedia Director interfaces in the 1990s that imposed 640 x 480 pixels as a “standard” screen size for interactive, animated content. So we have at least 20 years of thinking reliant on the model of eLearning that some are now trying to painstakingly reduce by changing the “e” in learning to the “m”.
I agree with Josh that the real answer is not in this alphabet soup. Don’t confuse context with intent. We make too many assumptions from screen size. Screen size should not be an excuse to limit functionality. Using small screen does not equal wanting to do less. It would be like saying that because paperbacks have smaller pages, you have to remove entire chapters. The trick is to make complexity uncomplicated. There’s a difference.
Mobile websites/apps should have full content/tools. Yes, they may be displayed differently and hierarchy may change. Some devices may be better suited to some tasks than others — so EMPHASIZE different content on different devices. But don’t arbitrarily give me LESS. That goes not only for individual sites but for families of sites.
A lot of people ONLY use their phone. And of course perhaps the more expected numbers from developing world: In Egypt, 70% of net users rely solely on their phones. In India, it’s 59%. Ghana: 55%. Kenya: 54%. Nigeria: 50%. OK, you say, but these are developing countries where desktop computers and broadband access are expensive. But wait, what’s this… 25% in the US and 22% in the UK use only their phone. Another 28% of US mobile web users mostly use mobile web.
And, if we are talking about teaching young people, I’m sure these stats are much higher.
This group of mobile-only or mostly-mobile users definitely expect to do everything on mobile. If we care about reaching them or teaching them, we have to care about hitting them on mobile.
For individual-learner click-through online learning modules, I’ve recently sent out two requests for proposals to over 20 companies that specialize in building such modules to support adult learning. Not a single one actually can currently deliver a mobile-first strategy. Yet, the tools and techniques to build a single code base (using HTML5 to replace Flash for animation and a technique called responsive design) already exist and are in wide use in other areas — just not in learning. Yes, they all know it’s a long-term trend, but in many of the responses I received they proposed to build a separate, “lite” version of the “real” learning modules. Exactly the opposite of what I think is needed. And the stats cited above (as well as more insightful analysis from Josh and other designers) make a strong case that this needs to happen today, not in some distant future.
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Badges for online learning: gimmick or game-changer?
As I’ve been thinking about building a MOOC for the 13.1 million Red Cross and Red Crescent volunteers, I’ve become increasingly interested in connectivism. One of the platforms I’ve discovered is called P2PU (“Peer To Peer University”), which draws heavily on connectivist ideas.
Surprise: on P2PU there is a debate raging on about badges, of all things. I initially scoffed. I’ve seen badges on Khan Academy and have read that they are very popular with learners, but did not really seriously consider these badges to be anything more than gimmicks.
It turns out that badges are serious learning tools, and that makes sense from a connectivist perspective. A white paper from the Mozilla Foundation summarizes why and how, drawing on an earlier paper from P2PU’s co-founder Philipp Schmidt.
George Siemens’s (2005) connectivism theory of learning is said to go “beyond traditional theories of learning (such as behaviorism, cognitivism, and constructivism) to include technology as a core element”. So badges in this theory would use technology itself ot make connections between learners.
First, it is claimed that badges can capture and translate learning across contexts, with more granularity (detail) than degrees or cumulative grades, with a badge for each specific skill or quality — and showing off progression over time as badges accumulate (like medals pinned to a soldier’s chest or a general’s stripes). Therefore badges could signal achievement and be matched to specific job requirements.
Second, badges are meant to encourage and motivate “participation and learning outcomes”. They are feedback mechanism — both gateway and signpost — on a learning path, ie showing what can be learned and when, as in Khan Academy’s Google-style map going from basic addition to multivariate calculus. In addition, they can also cover or highlight informal or soft skills of the kind that formal education doesn’t account for. And, in fact, making new badges available can be done in real time, fast enough to keep up with the pace of the fastest-changing fields (like IT or web development).
Third, badges are thought to formalize and enhance social connections, as they can be considered a mechanism to promote identity and reputation within a learning community. By doing so, badges may in fact foster community, bringing together peers to formalize teams or communities of practice.
There’s quite a bit of enthusiasm online for badges as successors to pre-digital forms of accreditation and authority, like university diplomas and CVs. For example, Jacy Hood, director of College Open Textbooks, declared in a blog comment: ”We are optimistic that Mozilla Badges will become the new international educational currency/credentials and that traditional education institutions will recognize, accept, and award these badges.”
Edutech blogger Mitchel Resnick explains that he is an increasingly lone voice to express skepticism about badges:
I worry that students will focus on accumulating badges rather than making connections with the ideas and material associated with the badges – the same way that students too often focus on grades in a class rather than the material in the class, or the points in an educational game rather than the ideas in the game. Simply engaging students is not enough. They need to be engaged for the right reasons.
For Resnick, it is the perception of a badge as a reward that throws back to behaviorist thinking:
When we develop educational technologies and activities in my research group, we explicitly try to avoid anything that might be perceived as a reward – what Alfie Kohn characterizes as “Do this and you’ll get that.” Instead, we are constantly looking for ways to help young people build on their own interests, and providing them with opportunities to take on new roles.
However, it really depents on the “Do this” component: what is the learner being asked to do? If it can be performed without engagement, then Resnick may be right. This implies that the reward component may not be the sole function of the badge itself but will depend on the activities required to obtain it.
I started writing this as a badge skeptic. Yet, I’m already starting to think of additional benefits: in a visual online world, badges are visual indicators, rather than text on a screen. They can therefore mobilize visual symbols to trigger our cultural and emotional sensibilities, without requiring reading effort on our part. By looking a badge, we can recognize its shape, colors and design and identify its meaning. This is pretty powerful stuff for learning.
What do you think?