LEARNING ANALYTICS AND ONLINE LEARNING:

NEW OPPORTUNITIES?

IADAT-e2013 International Conference on Education,Bilbao, July 2013

Svet Ivantchev, eFaberAna Fernandez, UPV/EHU

University of Boloña, XIVfoto: http://openhive.net/

University of Boloña, XIVfoto: http://openhive.net/

University of Boloña, XIVfoto: http://openhive.net/

University of Boloña, XIVfoto: http://openhive.net/

LEARNING ANALYTICS

“The measurement, collection, analysis and reporting of data about learners and their contexts,

for purposes of understanding and optimizing learning and the environments in which it occurs.”

As defined at LAK12, http://www.solaresearch.org/mission/about/

Bloom, B. "The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring", Educational Researcher, 13-6, 4-16, (1984).

Bloom, B. "The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring", Educational Researcher, 13-6, 4-16, (1984).

• Use data for formative assessments and than:

• Tailor instruction to students’ needs

25 yrs of research, 50 000 studies, 200M students

Visible Learning for Teachers: Maximizing Impact on Learning, J. Hattie, 2011

Lectures were once useful, but now, when all can read and books are numerous, lectures are unnecessary.

If your attention fails and you miss part of a lecture, you are lost; you cannot go back as you do upon a book.

James Boswell - Life of Johnson (1791)

MOOCS

"MOOC, every letter is negotiable", http://en.wikipedia.org/wiki/Massive_open_online_course

foto: http://en.wikipedia.org/wiki/Cash_register

PROBLEMS

•Maybe it is too much data, can we manage it?

•Once collected, what to do with all this numbers?

SFO, March 5, 2013

MACHINE LEARNING

Machine learning, a branch of artificial intelligence, is about the construction and study of systems

that can learn from data.

Field of study that gives computers the ability to learn without being explicitly programmed

BIG DATA O BIG BROTHER?

• TV advertisements and counterprogramming

• Internet advertising

• Credit card and consumer credit authorizations

• Fidelity cards (Travel Club, FNAC, much more ...)

• Buying recommendations, cross selling and upselling

• Churn rates

... but not in education!

BIG DATA O BIG BROTHER?

• TV advertisements and counterprogramming

• Internet advertising

• Credit card and consumer credit authorizations

• Fidelity cards (Travel Club, FNAC, much more ...)

• Buying recommendations, cross selling and upselling

• Churn rates

... but not in education!

http://en.wikipedia.org/wiki/Luddite

OK, WE HAVE THE TOOLS, SO?OUR PROJECT

• Short videos (12-18 min), commentable

• Tests with variable difficulty (self-adjustable)

• Full text search of all the content, audio included

• Log of everything

• ... nothing more (very important ;-)

modelo

modelo

modelo

modelo

FIRST BENEFITS

• Adapt the difficulty of the test questions based on student’s behavior (“student model”).

• Feedback to the content/class authors.

• Flipped classroom.

Quizzes with personalized difficulty

Implicit feedback on video viewing

Implicit feedback on video viewing

FLIPPED CLASSROOM

• Learn the theory at home, exercises at school

• More time to resolve unclear points and practical examples.

• Peer instruction.

MORE IDEAS

• Cross-usage of the data of different students

• Personalized sequence of (optional) videos

• Personalized annotations of the material

• Group creation/assignment

• Early outlier detection

GRACIAS