Video: How to use big data to personalise learning
“Every learner is different in their prior knowledge and experience, current interests and future goals. This means the learning experiences that they need are also different.”
In this World Economic Forum IdeasLab video, recorded during the Annual Meeting of the New Champions 2014, Marsha Lovett, from Carnegie Mellon University, discusses how we can use big data to improve and personalise learning across the globe.
To watch the full video click on the player above.
The Annual Meeting of the New Champions 2015 takes place in Dalian, People’s Republic of China, from 9th-11th September 2015.
Author: Marsha Lovett is a teaching professor in cognitive psychology at Carnegie Mellon University, USA.
Image: A child in first grade uses a new laptop as part of the Canaima project at a Bolivarian school in Caracas September 23, 2009. REUTERS/Jorge Silva
Don't miss any update on this topic
Create a free account and access your personalized content collection with our latest publications and analyses.
License and Republishing
World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.
The views expressed in this article are those of the author alone and not the World Economic Forum.
Stay up to date:
Data Science
Forum Stories newsletter
Bringing you weekly curated insights and analysis on the global issues that matter.
More on Education and SkillsSee all
Naoko Tochibayashi and Mizuho Ota
April 24, 2025
