From Raw Data to Intelligent Information in e-Learning: A Case of Study with the Khan Academy Platform

Date

2012-12-14

Speaker

José Díaz Cappa (TSJIB)

Summary

Nowadays there are many services and e-Learning platforms which report very detailed low level data of interactions between students and e-Learning systems. However, in many cases, teachers are overwhelmed with the large amount of low-level data and they almost don’t use them as it is not easy for them to infer useful information for their courses. A major challenge is how to use computational techniques to process low-level data into useful and high-level information.

 

This presentation describes some ideas of learning parameters of high level learning that can be a useful information for teachers and students, as well as how to calculate them from low-level data. It also explains how to apply them in the Khan Academy platform. The many features of analytical data that provide by default the Khan Academy platform are presented, both low-level and high-level information. It also will be shown a proposal of extension of that analytical by default of the Khan Academy in combination with new high-level parameters and how to calculate them. Finally, some results of the case study conducted in 2012 in a pilot for the course 0 of physics at the University Carlos III of Madrid will be presented. In that case has been used the Khan Academy the platform, reflecting on the connection of intelligent information obtained with learning.

Slides

Video

Author's Biography

Pedro J. Muñoz-Merino

Pedro J. Muñoz-Merino is a Visitant Associate Professor at the Universidad Carlos III de Madrid, where he has been working for 9 years. In 2003, he received his Telecommunication Engineering degree from the Polytechnic University of Valencia, and in 2009 his PhD in Telematics Engineering from the Universidad Carlos III de Madrid. He obtained his acreditation in May 2012 as Associate Professor by the ANECA agency from the Spanish Ministry of Education. He also received the AMPER award for the best Master Thesis in Telematics Engineering by the Spanish Association of Telecommunications Engineering. Moreover, he received a special PhD award by Universidad Carlos III de Madrid. He has made two long research stays: one in Ireland for more than 3 months at the Intel company in 2005, and another in Germany for more than 6 months at the Fraunhofer Institute of Technology in 2009-2010. In addition to this, he is author of more than 40 scientific publications and has participated in more than 20 research projects. His present research interests include intelligent tutoring, semantic web, learning analytics, and gamification.

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