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Learnometrics: Metrics for Learning (Objects) Xavier Ochoa Escuela Superior Politécnica del Litoral Guayaquil, Ecuador
http://www.slideshare.net/xaoch
 
 
Research about Learning Objects But what?
What is a Learning Object? Not a good idea
What is a Learning Object? Not a good idea
How many learning objects are published? How many learning objects are reused? How many objects are produced by each teacher? How many times a learning object is reused? What is the average size of a LO repository?
 
Learning Object Repositories
Size of Repositories Repository Referatory OCW LMS IR
A medium sized LMS has more objects than MERLOT
Distribution of Objects
There is a long tail of resources How can we find them?
Growth  –  in Objects
Growth in Contributors
Growth is Linear Ouch!
But there is hope…
Connexions Growth in Contributors
Connexions Growth in Objects
 
Objects per Contributor LORP - LORF Lotka / Log-Normal “ fat-tail”
Objects per Contributor OCW - LMS Weibull  “ fat-belly”
Objects per Contributor IR Lotka high alpha “ light-tail”
The key is the engagement There must be a value proposition
Engagement
If only our LMSs could be our repositories OERs could be the key
Reuse of LO
Reuse is the  raison d’être  of Learning Objects But very little is know about actual reuse
Reuse Paradox
Measuring Reuse
Measuring Reuse
Measuring Reuse ~20%
 
REUSE IS HAPENNING  with or without us Let’s help to make it easier
Our understanding of Re-use needs to be re-examined We need more studies!
Popularity vs. Reuse
Distribution of Reuse
We call this line of research Learnometrics Hey, it was good for my thesis  
Learnometrics ,[object Object],[object Object],[object Object],[object Object]
Learnometrics ,[object Object],[object Object],[object Object],[object Object]
Learning Analytics ,[object Object],[object Object],[object Object],[object Object]
Educational Data Mining? ,[object Object],[object Object],[object Object],[object Object]
Learngin Analytics  or Educational Data Mining  or  Educational Research The same or different?
 
The questions are the same The difference is in the kind of answers
Gracias / Thank you / Merci Xavier Ochoa [email_address] http://ariadne.cti.espol.edu.ec/xavier Twitter: @xaoch

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Learnometrics Keynote LAK2011