While digital badges are now widely used to recognize learning, they are still not widely value by employers and colleges. This presentation uses data from the 2012-2014 Design Principles Documentation Project to explore why this is and what we might do about it
10. Evolution of Badge Design
Practices
Intended practices outlined in
original proposals
Enacted practices from interviews
once project is underway
Formal practices after funding
ended
11. Emergence of Badge Design
Principles
Draft Initial Principles
Formalize General Principles
Bookmark Research
12. Badges Work Better….
In Some Places than Others
Proposed, 16Different, 8
None, 5
Badge System Status
Proposed, 11
Different, 11
None, 7
Larger Ecosystem Status
13. Badges Work Better….
Where Content and Tech Already Exist
Build Less Build More
6
8
2
3
1
1
2
2
1
1
2
Badges Only Badges + Tech Badges + Content Badges + Tech +
Content
Badge System Status by Starting Point
Implemented Partial Suspended Pursuing None
14. Badges Work Better….
As Informal Credentials
• The most obvious practice to add
value were the hardest to implement
–1 out of 5 succeeded in awarding
formal credit
15. Badges Work Better….
When Internally Valued
• Projects struggled to gain external value
for badges
–4 out of 10 secured external endorsements
–2 out of 8 secured external value
16. Badges Work Better….
When They Offer Unique Information
• Redundant badge
systems struggled
–The badges at 4-H
duplicated existing
credentials & network
17. Badges Work Better….
Where Learning is Social and Networked
• Two most robust ecosystems
found other ways to add value
to their badges
–S2R Medals and MOUSE Wins!
layered badges into existing
content & tech
–The learning was already social
and networked
18. NOW WHAT?
1. Redouble Efforts
to Award Formal Credit
• Existing credential system co-evolved
with admissions and recruiting practices
• Badges must contend with invisible
networks and tacit relationships
19. NOW WHAT?
2. Exploit Unique Features of
Badges to Add Value
• Get more robust evidence of actual
learning and achievement in badges
• Allow viewers to “drill down” into public
evidence
20. NOW WHAT?
3. Align with Other Relevant
Developments and Trends
• Competency-based learning
• Stackable credentials
• Credit for prior learning
• The OBHE project can help!
• @dthickey
Notes de l'éditeur
This is my team
I did my PhD in psychology at Vanderbilt and have spent most of my career doing assessment and evaluation with cutting edge educational technology. Jasper Woodbury videodisks at Vanderbilt, GenScope Multimedia software as a postdoc at the ETS center for performance assessment and on the faculty at Georgia, NASA Classroom of the Future as a faculty member in Georgia, and Quest Atlantis, Sakai, and Project NML at Indiana. So of course I am thrilled to be working with what I think will be the most important technology of all.
I also study motivation and incentives, and have thought about badges a lot. I have done empirical studies of them in both Quest Atlantis and Sakai and hope to have them published soon.
I focus on the implications of sociocultural theories of knowing and learning for assessment, motivation, research, and evaluation. There is a research literature in each area that is directly relevant to the goals of the DML initiaive
This is my team,
Happy to be working with Shery Grant and others at HASTAC—you are in the hands of a very capable team there and we have had lots of discussion about how we can help serve both the initiative and individual projects
Also thrilled to be working with Mozilla. Erin Knight has been awesome. As I will show you Carla Casilli is introducing some very important ideas, and I understand that Peter Rawsthorne form England is joining the team as well.
Technically most of my work will be through HASTAC and focused on awardees. But there is an enourmous community of finalists out there who have been inspired by the compeition and are forging ahead as we speak.