Systems and methods for automated bayesian-network based mastery determination

A system for determining mastery in a Bayesian network, the system comprising:

• memory comprising:
• a content library database comprising content for delivery to a user;
• and
• at least one processor configured to:
• receive an assertion, comprising a response to a prompt or a question, from a user device;
• identify one or several nodes relevant to the received assertion;
• evaluate the assertion;
• calculate a node mastery probability for the identified one or several relevant nodes;
• identify related nodes, comprising a plurality of connected nodes connecting, either directly or via at least one additional node, to a common learning objective, wherein the related nodes are connected to the relevant nodes via conditional dependencies, which identify the likelihood of the relevant nodes being mastered if the related nodes are likewise mastered or unmastered;
• calculate mastery of the related nodes according to the node mastery probability and the conditional dependencies;
• determine mastery of an objective based on the mastery of the relevant nodes and the related nodes;
• generate a mastery bar in a user interface, wherein the mastery bar provides a visual indicator of progress through content and a visual indicator of mastery of the objective;
• and
• update the mastery bar with the determined mastery of the objective.