MACHINE LEARNING, INTELLIGENCE (AI AND HI) AND LEARNING ON DIGITAL NETWORKS

  • Jean Frayssinhes Université Toulouse, Francia
Keywords: Artificial Intelligence, Human Intelligence, Deep Learning, Machine Learning, Open and Distance Learning, Algoritms

Abstract

Artificial intelligence —understood as the set of technologies aimed at performing cognitive tasks traditionally performed by humans through computers— is today at the heart of debates on social transformations. AI has made spectacular progress in recent years and machine learning or deep learning make it possible to perform tasks that previously seemed inaccessible to machines, such as recognizing an image, satisfactorily translate a simple text or win at the game of Go. But what about human learning? Can artificial intelligence help the learner to be more successful in learning? We propose a research approach that can help us answer these questions. Especially online on digital networks.

Published
2019-05-16
How to Cite
Frayssinhes, J. (2019). MACHINE LEARNING, INTELLIGENCE (AI AND HI) AND LEARNING ON DIGITAL NETWORKS. RUNAE, 110-134. Retrieved from http://runae.info/index.php/RUNAE/article/view/42