Adaptive learning environment driven by real-time identification of engagement level

A computer-implemented method comprising:

• receiving, by an adaptive learning platform of a computing device, real-time user state data associated with a user of the computing device, the real-time user state data based on one or more indicators of an engagement level of the user provided by one or more sensors in, or communicatively coupled to, the computing device;
• determining, by the adaptive learning platform, an evolving user state model based, at least in part, on the engagement level of the user with a content type output to the user that correlates with the one or more indicators of the user, wherein the determining the evolving user state model comprises combining an impact of content of the content type on the engagement level of the user with the real-time user state data and previously collected user-state data to compute and/or learn the evolving user state model;
• and
• dynamically adapting, by the adaptive learning platform, the content type output to the user by the adaptive learning platform, based at least in part on the evolving user state model,
• wherein the evolving user state model includes a variable threshold for determining the engagement level of the user, the evolving user state model being configured to change the threshold.