ALWAYS ON: Designing for Continuous Development Using the Performance Ecosystem
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The document discusses the evolution of work and performance support within a continuous development framework, highlighting the transition from traditional factory models of learning to more fluid and collaborative ecosystems that leverage technology. Key components include collaboration platforms, access to information, and a mix of formal and informal learning strategies to enhance performance. It also touches on the impact of technological advancements like the Internet of Things and augmented reality on learning and organizational effectiveness.
ALWAYS ON: Designing for Continuous Development Using the Performance Ecosystem
- 1. ALWAYS ON: Designing for Continuous Development Using the Performance Ecosystem John Low @Lowcus
- 2. TOPICS Evolution of work and performer support Components of a performance ecosystem Performance ecosystem in action Technical drivers Photo Credit: Not Quite a Photographer
- 3. Monolithic learning events often fall short I think I can see it…
- 4. Factory model based on memorization of facts is no longer needed
- 5. Factory Model: Consistency and Scale The factory model of instruction grew up around the rise of the production line and the industrial revolution., with a focus on consistency and scale.
- 6. Systematized Training: Two world wars fueled a massive effort to systematize training
- 7. Learning in a Box: Automation and Self Contained Feedback Teaching machines represented early experiments with automation and self- contained feedback.
- 8. Connected Photo Credit: mbeo eLearning is the ultimate manifestation of encapsulated self- contained learning.
- 9. Artificial Intelligence “Work becomes the manipulation of symbols, and when this occurs the nature of skill is redefined.” - In the Age of the Smart Machine: The Future of Work and Power By Shoshana Zuboff
- 10. Shift from knowing, to knowing how to find, to being found.
- 11. Data Self Network Traditional barriers to access are being removed resulting in more fluid connection to data, yourself and your peers.
- 12. Evolution of Work and Performer Support AT ONE TIME: Assumed a more or less straight line between learning and performing
- 13. Evolution of Work and Performer Support NOW: • Agency • Access • Interest Photo Credit: Emmanuel Coupe
- 14. Performance Ecosystem Enhancing individual and organizational effectiveness by connecting people, and supporting them with a broad range of content, processes, and technologies to drive performance. Marc J. Rosenberg & Steve Foreman eLearning Guild Photo Credit: Emmanuel Coupe
- 15. Photo Credit: Emmanuel Coupe
- 16. COMPONENTS Parts and pieces of a performance ecosystem
- 17. Collaboration A collaboration platform is at the heart of a continuous development environment. This is the virtual environment that users can access resources, share content, and collaborate on.
- 18. INFORMATION ACCESS TOOLS AND SHARED PROCESS ACCESS PREMIUM CONTENT SELF-SERVE WORKGROUPS
- 19. Formal and Informal Learning Formal learning is particularly useful at early stages of knowledge acquisition. The continuous development environment contains a mix of formal and informal learning designed to support different stages of learning.
- 20. Continuous Development Activity: An exercise intended to improve knowledge and skill retention by having learners experience and apply learning concepts right within their work environment.
- 21. WHAT IT DOES • Encourage continual learning • Provide scenario- based learning experiences • Foster collaboration and social learning • Fuse learning and work spaces
- 22. Photo Credit: James Cridland S0CIAL In many ways social learning that uses technology is akin to breaking open the “box”. We rely on our peers as resources and for feedback which is facilitated by the technology. Social is as old as humanity but social technologies are impacting performance in the workplace in a historic way.
- 23. Technical Drivers If it weren’t for the combustion engine, New York would no longer exist due to the preponderance of horse manure. Be careful about predictions…
- 24. IoT The internet of things refers to everything being addressable from the web. That is to say everyday objects have a unique identification paired with some amount of processing power resulting in the ability to send and receive information. The amount and nature of data that we have access to provides unprecedented views into the world around us. This can result in the surfacing of new meaning and better performance and decision support.
- 25. Augmented Reality Augmented reality and the wearable revolution are further closing the gap between our observable lives and the data that permeates everything.
- 28. SCORM On January 14, Tommy Caldwell and Kevin Jorgeson climbed a great big rock…
- 29. xAPI
- 30. Summary