«Intervention and actions based on educational data»

Date

23-11-2018

Speaker

Pedro J. Muñoz Merino

Abstract

There are many ways in which educational data can be used to improve learning, such as for personalised learning, predicting the future or improving educational materials. These interventions can be supported by technological tools and processes at the institutional level. This talk will introduce some ideas and guidelines for making this adoption at the institutional level, as well as some tools and specific applications of learning analytic tools to improve the educational process.

Slides

Video

Author's biography 

Pedro J. Muñoz Merino

 

Pedro J. Muñoz-Merino is associate professor at Universidad Carlos III de Madrid, where he is the director of the Master in Telematics Engineering. His skills and experience include research and development in learning analytics, educational data mining, evaluation of learning experiences, user studies, gamification or Intelligent Tutoring Systems. Pedro is the coordinator of the LALA project, funded by the European Union for the adoption of learning analytics in Latin American. He has participated in more than 40 research projects at the international and national level, including also several contracts with companies, being the principal Investigator of several of them related with learning analytics, educational data mining and adaptive systems. Pedro has received several awards for his work on educational technologies. He is author of more than 100 scientific publications. He has also coordinated the development and deployment of different learning analytics tools. At this moment he is coordinator of the work group about learning analytics and adaptive systems in IEEE Spain chapter about education.

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