Presenter: Reuben Tozman
Find out about the game
"Whatever I have planned is not necessarily what you are going to get out of this"
Where is L&D going?
- We are going to be moving away from delivering learning services and becoming performance consultants
(a person mentioned being "coaches" - but I personally think it is more than that. We need to look at the entire performance ecosystem)
Can we "create" learning?
- Do you "create" learning for yourself or do you "learn" for yourself.
(semantic argument starting?)
We can't control what others learn.
But when we think about designing interventions - we design as if we are creating learning.
- think about learning objectives
(we are essentially trying to control others - yipee)
Information is not learning or training
- How many people learn from books?
- How many people figure out how to do things by reading?
- Yet as instructional designers - we are worried about engagement, objectives, etc
ID is not the gatekeeper of learning (sorry folks)
So what can we do that is more productive?
How are the technologies going to shape how we learn in the future?
- Looking outside learning and development
How many people had transformative learning experiences knowing what was going to happen going in and got exactly what they expected out of it (audience - jump school)
The stuff that changes you - is it usually surprising?
The experiences change us because we didn't know what we were going to get out of it.
Learning is a transformative process.
If you didn't hit your "objectives" was it sucessful or unsuccessful?
- Was it REALLY unsuccessful?
We ought to be creating experiences that drive the change
- in thinking
- in behaviors
within the environment where they work
Maybe we should move away from the magic bubble of learning.
Think microevents (in continuous stream?)
What experiences can we create for people?
- How can we move people out of the natural habitat?
- How can we augment existing experiences? (new stuff within current habitat)
- How can we support an experience?
Ironic that we are at a conference about innovations in eLearning - but we are all in lines listening to a lecture.
- (What is in this model that is working? Gotta be something because we keep going back to it.)
Regardless of the technology - we are still creating things people have to "go to"
Still singular experience for all
Even scenario driven stuff if directing towards a particular goal. And how much ends in multiple choice.
At end of day - we are just expected to show "we've done the training"
And the orgs are still broken.
Who is still gonna get let go? us.
Do we actually fix a problem?
We think of performance support as correllary to training
But everything we do should BE performance support.
Google allows us (through rapid processing speed) enables faster learning.
- Why so effective?
- Granular and discontinuous - (you build the narrative)
- Different media (visual)
- Everything is linked
- Very me-centric. Interest based. What I want to know, when I want to know it
YouTube started as a bunch of guys shooting video and wanted to exchange. No good way to share.
Relational database vs non-relational database
- MarkLogic - doesn't store stuff in tables and rows (non-relational). Stores based on relationships. Not on "location"
- Sitting in a folder - relational database
The pain - Big Data
- What happens when you build - make a log of stuff that is not machine readable
- Put the thing on a network
+ how fast is it out of date
+ How separate is it from the main vein of the activities of the org
- Machines can't change it automatically and update it
Big Data increases the complexity to allow us to manage and maintain this stuff
- All the analytics
#1 problem - what do you really want to know? (the Dashboard)
- Google Analytics
- Armature (Adobe)
No organization is going to need and want the same dashboard
We are trying to move our stuff more within the organization
- We have been moving stuff outside the org -= but that practice not sustainable
Technologies outside of Learning and Development that may help
- Content aggregation
- Query based
- Content Curation
- Adaptive Systems
- Real time processing
Google going into the semantic search.
- Natural language reasoning engine. Not just simple algorithms
- Unstructured data makes this process less efficient
Structured data - machine readable (xml, tagged or something)
Unstructured data - HTML page (bold, italics, etc. Doesn't know what it is reading)
Curation vs. Aggragation
- Curation - making value choices / trying to tell a story
- Aggragation - just collecting.
Knewton - adaptive learning management system
Doodle Defense game
Web wants to be fed
Web needs to understand what it is fed
Web needs things to be viral - viral = value
Web wants us to expose ourselves. Helps web understand and conextualize content
Web built on premise of communications that would survive a nuclear attack
There is a radical shift required
- We are putting stuff online based on paper model
- Web is a very different medium
Learning on demand where it is at.