Learning analytics for the global south

Recently has been published the report "Learning Analytics for the Global South". It aims to analyse how the learning analytics (the collection, analysis, and use of data) contribute to improve education process, and education and learners practices.

"(how Learning Analytics) have the potential to broaden access to quality education and improve the efficiency of educational processes and
systems in developing countries around the world"
The report is a compilation commissioned for the Digital Learning for Development (DL4D) project. DL4D is part of the Information Networks in Asia and Sub-Saharan Africa (INASSA) program funded jointly by the International Development Research Centre (IDRC) of Canada and the Department for International Development (DFID) of the United Kingdom, and administered by the Foundation for Information Technology Education and Development (FIT-ED) of the Philippines. DL4D aims to examine how digital learning could be used to address issues of equity, quality, and efficiency at all educational levels in developing countries.
The contributions are based in the Prof. Gašević’s proposals, and his perspective about the challenges for promote 21st century skills in new generations. Each of the contributions situates Gašević’s proposals in differents world contexts from the hand of experts in the field of research in Education and Technology. Paul Prinsloo of the University of South AfricaBodong Chen of the University of Minnesota, USA and Yizhou Fan of Peking University, People’s Republic of China; Ma. Mercedes T. Rodrigo of the Ateneo de Manila University, Philippines, and Cristóbal Cobo and Cecilia Aguerrebere, both of the Ceibal Foundation, Uruguay.  
The articles discuss arround six questions: 
  • What are the main trends and challenges in education in your region?
  • How can learning analytics address these challenges?
  • What models of learning analytics adoption would be most effective in your region?
  • What are the barriers in adoption of learning analytics in your region and how could these be mitigated?
  • How do you envision ethical use and privacy protection in connection with learning analytics being addressed in your region?
  • How can the operationalization of learning analytics be future proofed in your region?


The report finalize with recommendations about what are the necessary aspects to think in learning analytics. Here only some: the quality of data as well as the quantity,  the nature of the tools and
techniques used, the insfraestructure available. And other aspects like the transparency of data or the diferents actors, in addition to experts, that would be necessary to participate in the discussion.