Adaptable educational tools

Adaptable educational tools created using Machine Learning (or Artificial Intelligence more broadly) can adapt their behavior in real-time according to the needs of individuals or to support collaborative learning. This is important to improve access to educational opportunities, help personalize the teaching process, and to step in when teachers have limited time. Key considerations  for creating these tools include adapting to local technological and cultural needs, addressing barriers such as access toelectricity and internet, and taking into account students’ computing skills, language, and culture.

Background Readings

 * Advances In Intelligent Tutoring Systems (2010) : the textbook on creating adaptable learning agents, with chapters dedicated to different approaches and theories. Available here.
 * Another 25 Years of AIED? Challenges and Opportunities for Intelligent Educational Technologies Of The Future (2016) : a thorough analysis of the promise of Artificial Intelligence in education and the challenges that it entails. Available here.