Artificial Intelligence () is producing new teaching and learning solutions that are currently being tested globally.
Artificial Intelligence () is producing new teaching and learning solutions that are currently being tested globally. These solutions require advanced infrastructures and an ecosystem of thriving innovators. How does that affect countries around the world, and especially developing nations? Should be a priority to tackle in order to reduce the digital and social divide?
These are some of the questions explored in a Working Paper entitled ‘ Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development ’ presented by UNESCO and ProFuturo at Mobile Learning Week 2019 . It features cases studies on how technology is helping education systems use data to improve educational equity and quality.
Concrete examples from countries such as China, Brazil and South Africa are examined on ’s contribution to learning outcomes, access to education and teacher support. Case studies from countries including the United Arab Emirates, Bhutan and Chile are presented on how is helping with data analytics in education management.
The Paper also explores the curriculum and standards dimension of , with examples from the European Union, Singapore and the Republic of Korea on how learners and teachers are preparing for an -saturated world.
Beyond the opportunities, the Paper also addresses the challenges and policy implications of introducing in education and preparing students for an -powered future. The challenges presented revolve around: Developing a comprehensive view of public policy on for sustainable development: The complexity of the technological conditions needed to advance in this field require the alignment of multiple factors and institutions. Public policies have to work in partnership at international and national levels to create an ecosystem of that serves sustainable development.[…]