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Learning Analytics
foundation of mass personalized education
Sander Latour
Bedankt voor de uitnodiging
Thank you for inviting me
Roadmap to the beer
The educational model
The revolution
The technology
Learning Analytics
The future of learning
Roadmap to the beer
Point out the irony of this talk
Walk out and get a beer
Alternative
What characterizes our
model of education?
High school University
Traditional education
Teacher-centric
One-size fits all
Standardized
Passive
Individually
Assessment-centric
Certain ordering of topics
Does the system work?
Did it work for you? For your friends?
For everybody in society?
Revolution in education
"the world of education is stirring"
Concerns on the surface
http://www.wearethepeoplemovie.com
School
Society
19th
21st
Most watched?
Sir Ken Robinson
Big Breakthroughs Happen
When What Is Suddenly
Possible Meets What Is
Desperately Necessary
- Thomas L. Friedman
Or: Old Wine In New Bottles
technically
So what is suddenly possible?
There are many developments
that improve education
without (explicitly) using technology
Wait a minute
Online learning
Transformation or Digitalization?
Massive Open Online Course
Ever heard of MOOCs?
Not all Online Learning...
...is massive, open or even a course
Web-based ITS MOOC
Web-based ITS MOOC
Learning Analytics
foundation of mass personalized education
Many students
Increasing data
How can you personalize?
Learning Analytics is the measurement, collection,
analysis and reporting of data about learners and their
contexts, for purposes of understanding and optimizing
learning and the environment in which it occurs.
Learners
Data
Analysis
Intervention
The Learning Analytics cycle
Doug Clow. 2012. The learning analytics cycle: closing the loop effectively.
In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12)
Arnold, K. E. (2010). Signals: Applying Academic Analytics.
Educause Quarterly, 33(1), n1
Purdue Course Signals
Learning
Analytics
Educational
Datamining
Academic
Analytics
Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics
in learning and education. Educause Review, 46(5), 30-32.
Learners
Data
Analysis
Intervention
The Learning Analytics cycle
Learners
Data
The Learning Analytics cycle
Browsing behavior
Chat/forum/blog posts
Comments on chat/forum/blog posts
Likes/ratings
Answers/mistakes in quizzes
Time spent on task
Requesting hints
Sharing of resources
Social interactions
Drafts of end products
Location
Body sensors
Environment/context
Video recording of the learning
Possible data sources
Learners
Data
Analysis
The Learning Analytics cycle
Recommendations for material
Recommendations for pupils / mentors
Prediction of students at risk
Finding bottlenecks in content
Updating cognitive / user models
Analysing video control behavior
Social Network Analysis
Discourse Analytics
Head pose tracking
Tracking speech at a table
Typical analysis
Learners
Data
Analysis
Intervention
The Learning Analytics cycle
Reflection
Showing a prediction of success
Overview of what you did
Overview of what the group did
Insight in the group process
Suggestion
Learning material
Intelligent Curriculum
Potential partners
Potential mentors
Better learning approach
Intervention via student
Reflection
Showing a prediction of success
Overview of what a student did
Overview of what the group did
Insight in the group process
Suggestion
New learning material
Potential partners
Potential mentors
Better teaching approach
Intervention via teacher
Adaptive learning material
Adaptive navigation
Adaptive tests
Clean-up of bad material
Automatic intervention
Learners
Data
Analysis
Intervention
The Learning Analytics cycle
What are potential issues or downsides?
Critical thinking
Privacy
Lack of data
Pedagogical effect
Jumping to conclusions
Enforcing the factory model
Tool-centric vs. Learner-centric
Potential issues
What could possible scenarios be?
The future of learning
Are droids taking our jobs?
Official sources of information
People that inspired me
Sir Ken Robinson Noam Chomsky Eric Mazur
George Siemens Erik Duval Salman Khan
I'm not saying everything
should be changed
I'm saying everything
should be questioned
Thank you
http://www.slideshare.net/sanderlatour

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