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Signs of the Times
The signals that show
glimpses of our future
Bert De Coutere | CCL Labs
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times
Learning innovation  - Signs of the Times

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Learning innovation - Signs of the Times

  • 1. Signs of the Times The signals that show glimpses of our future Bert De Coutere | CCL Labs

Editor's Notes

  1. Learning is earning Until recently, we thought of learning, earning, and living as separate experiences. We went to school when were young. We spent our adult years working, and we squeezed our personal lives into whatever brief windows of time were left. But imagine a world where all of this has changed. Imagine a world, ten years in the future, where learning has become a kind of currency that ties together every aspect of our lives. In this future, the currency of learning is tracked and traded on a digital platform called the Ledger. It’s a complete record of everything you’ve ever learned, everyone you’ve learned from, and everyone who’s learned from you. The Ledger not only tracks what you know - it also tracks all of the projects, jobs, gigs, and challenges you’ve used that knowledge to complete. Machines don't just replace what we do. They change the nature of what we do: by extending our capabilities, they set new expectations for what's possible and create new performance standards and new needs. Yes, smart machines will replace some human labor, but they will also augment humans in new ways and change how we get things done. To see how such reputation systems might evolve in the future, the IFTF and ACT Foundation ran a forecasting game centered on the idea of a blockchain-based platform. The Ledgertracks everything you've ever learned, everyone you've learned from, and everyone who has learned from you. The Ledger tracks not only what you know but also all the projects, jobs, gigs, and challenges you've used that knowledge to complete.10
  2. School of One – a math program experiment in New Yrok that runs daily assessments to create a unique lesson plan for every student. In school of One, students have daily playlists of their learning tasks that attuned to each student´s earning needs, based on that students readiness and learning style. There are assessments built into each activity so that data can be fed back to the teacher to choose appropriate tasks for the next playlist. This data can be aggregated across classes, schools or even whole districts. You can see immediately the change on those of your students who are at that point in the curriculum. If you judge it to be a good change, you could roll it out immediately for every single student. Trend: personalised learning, we are not all equal learners, we don’t start with the same pre-knowledge, we don’t all have the same application needs, we don’t go through the learning process in the same way and time Trend: small and continuous, a little dose but day by day
  3. Sounding Board: coaching platform, Christine and Norman, out of Wharton spin-off Build a coaching platform on top of slack provides on-demand, virtual coaching
  4. Everwise: started as mentoring platform (by experienced business leaders who mentor for free and get helped by the platform to be better at mentoring itself), base themselves on 702010 “all of development is broken, with the possible exception of content” They look outside of education for answers, eg how health care build habits, wellbeing behaviour change Works with ‘missions’, uses ‘engagement funnel’ – the platform will push you out if it isn’t working for you Earlier in the week, we had met with a range of ed-tech startups that created fast-growth businesses using mentoring, coaching, and assessment platforms. They had all tuned into the opportunity created by the failure of HR and L&D organizations to adequately meet the needs of employees (this is the “be afraid” part). The founder of Everwise put it bluntly "L&D is a hot mess." The company, which has built a mentoring platform and raised upwards of $12 million in funding, was based on insight from the 70/20/10 equation. They were in the process of building a full-spectrum solution that would extend upstream into assessment and downstream into learning assets. Sounding Board was building a platform for democratizing coaching, making it a continual and affordable service for young managers using text and video coaching on Slack. Greg of Workday and a longtime CCL friend called what is taking place the Third Age of Human Capital Management. The reason these companies are getting in is not because the leadership development business is dying but that it is filled with opportunity (this is the “be excited” part).
  5. Culture Amp – engagement measurement
  6. It’s not all pipeline anymore… Deloitte: . The “new organization” is built around highly empowered teams, driven by a new model of management, and led by a breed of younger, more globally diverse leaders. … Organizations are shifting away from being a network of functions to becoming a network of teams, designed to operate the way people work. The report also indicates that organizations are seeking offerings that move beyond individual development and help teams work together effectively.
  7. Cognitoys : backed by IBM Watson AI
  8. Stanford lab examines virtual reality's behavioral effects MAY 13, 2016, 8:13 AM|2016 is shaping up to be the year of virtual reality. Video games, Hollywood and media giants are embracing the technology and driving VR into the mainstream. But what are the lasting effects of the medium on our minds? John Blackstone visits a Stanford University lab studying the impact of the VR revolution.   Seems to be good for empathy.
  9. App: Moodies Can an app capture emotions at meetings? http://www.pcmaconvene.org/departments/can-an-app-capture-emotion-at-meetings/
  10. Microsoft Hololens
  11. Algorythmic coordination Started by someone that was at IFTF A key piece of effective socialstructing is the use of software to route or manage crowd contributions. In some cases, this is simply a matter of matching a task to the most qualified person available. However, the approach can also be used to tightly coordinate a complex series of tasks so that they come together in an on-demand fashion. This mechanism will be a foundation for coordinating any activity in the coming years and will be a potent force for amplifying and disrupting existing institutions, since the coordination of tasks has been the primary role of management. ReThinkery Labs, a recently announced venture by Devin Fidler, one of my colleagues at the IFTF, makes it possible to automate a variety of organizational processes, including the process of research report writing. In a recent project, its software broke down the research process into discrete tasks, used an algorithm or a set of automated instructions to recruit people on a variety of existing digital work platforms (e.g., Upwork, TaskRabbit, Mechanical Turk), and then managed the work of qualified people on these platforms. The final report involved the work of hundreds of human contributors, aided by machine intelligence and managed by software algorithms—the ultimate example of human-machine symbiosis. This kind of symbiotic relationship is likely to transform most jobs, from entry-level to the most sophisticated ones, including those in research and C-suites.
  12. Pearson Acclaim badges
  13. Irrelevant how you got skilled, only that you did.
  14. http://www.te-learning.nl/blog/een-robot-als-onderwijsassistent/ http://www.news.gatech.edu/2016/05/09/artificial-intelligence-course-creates-ai-teaching-assistant