System and method for centrally managing adaptive learning across multiple distributed e-learning experiences

A method for generating adaptive e-learning experiences for a plurality of learners by at least one content producer, with a processor coupled to at least one memory device storing instructions executable by the processor to at least perform the operations of:

• accessing a graph database storing a learner knowledge graph comprising an ontology for a plurality of learning topics;
• developing content comprising at least one course material associated with one of the plurality of learning topics, wherein the content comprises a learning section;
• and wherein the content is associated with at least one learner experience type;
• distributing the at least one course material in accordance with a selected e-learning experience, wherein the content within each learning section is tagged with one of the plurality of learning topics suited for the e-learning experience;
• tracking learning events generated by the plurality of learner, wherein the learning events comprise at least one of viewing and interaction activities related to content consumption and learner validation activities;
• generating learner event data from the learning events;
• anonymizing the learner event data;
• sharing the learner event data with another at least one content producer;
• based on the learner event data, determining an effectiveness quotient of the content for teaching the course material.

At a content producer, a computer readable medium storing instructions executable by a processor to generate adaptive e-learning experiences for a plurality of learners, wherein the instructions carry out the operations comprising:

• accessing a graph database storing a learner knowledge graph comprising an ontology for a plurality of learning topics;
• developing content comprising at least one course material associated with one of the plurality of learning topics, wherein the content comprises a learning section;
• and wherein the content is associated with at least one learner experience type;
• distributing the at least one course material in accordance with a selected e-learning experience, wherein the content within each learning section is tagged with one of the plurality of learning topics suited for the e-learning experience;
• tracking learning events generated by the plurality of learner, wherein the learning events comprise at least one of viewing and interaction activities related to content consumption and learner validation activities;
• generating learner event data from the learning events;
• anonymizing the learner event data;
• sharing the learner event data with at least another content producer;
• based on the learner event data, determining an effectiveness quotient of the content for teaching the course material.

A method for generating adaptive e-learning experiences for a plurality of learners by at least one content producer, comprising with a processor coupled to at least one memory device storing instructions executable by the processor to at least perform the operations of:

• associating each of the e-learning experiences with a learning topic comprising at least one adaptive learning variable;
• executing a first set of instructions to train an adaptive learning model on a schedule or on-demand;
• inputting anonymized learner event data, scoring data and learner knowledge graph from the at least one content producer as training data;
• training the adaptive learning model with the training data to optimize the at least one adaptive learning variable;
• and
• updating the learner knowledge graph with the outputted optimized at least one adaptive learning variable.