Personalized mastery learning platforms, systems, media, and methods

Non-transitory computer-readable storage media encoded with a computer program including instructions executable by a processor to create a personalized mastery e-learning application comprising:

• a) a knowledge map describing a subject or topic at a level of learning, the knowledge map comprising a plurality of nodes, each node representing at least one learning objective, wherein the nodes are arranged in the knowledge map hierarchically and so as to represent prerequisite relationships between learning objectives;
• b) a plurality of learning activities, each learning activity comprising one or more graphical user interface (GUI) elements and dynamically variable scaffolding, feedback, and content;
• c) a data storage associating one or more of the nodes with one or more of the learning activities;
• d) an analytics engine generating learner data based on a learner's previous performance from past learning activities;
• e) a learning activity selection module identifying at least one current node on the map for the learner based on the generated learner data and using the at least one current node, generated learner data, and the data storage to select one or more learning activities for the learner;
• and
• f) a learning activity modification module dynamically varying the scaffolding, feedback, and content on a learning activity GUI of at least one selected learning activity based on the learner's interaction with one or more GUI elements on the learning activity GUI, wherein the dynamic variance of the scaffolding comprises modifying one or more GUI elements within the learning activity of the learning activity GUI until the learner achieves mastery.

A computer-implemented method for personalized mastery e-learning comprising:

• a) providing, in a computer storage, a knowledge map describing a subject or topic at a level of learning, the knowledge map comprising a plurality of nodes, each node representing at least one learning objective, wherein the nodes are arranged in the knowledge map hierarchically and so as to represent prerequisite relationships between learning objectives;
• b) providing, in the computer storage, a plurality of learning activities, each learning activity comprising one or more graphical user interface (GUI) elements and dynamically variable scaffolding, feedback, and content;
• c) maintaining, in the computer storage, a database associating one or more of the nodes with one or more of the learning activities;
• d) generating, by an analytics engine generating learner data based on a learner's previous performance from past learning activities;
• e) identifying, by the computer, at least one current node on the map for the learner based on a past performance of the learner and using the identified at least one current node, generated learner data, and the data storage to select one or more learning activities for the learner;
• and
• f) dynamically varying, by the computer, the scaffolding, feedback, and content on a learning activity GUI of at least one selected learning activity based on the learner's interaction with one or more GUI elements on the learning activity GUI, wherein the dynamic variance of the scaffolding comprises modifying the GUI elements on the learning activity GUI until the learner achieves mastery.

A personalized mastery e-learning platform comprising:

• a) a server-side learning activity selection application comprising:
• i) a knowledge map describing a subject or topic at a level of learning, the knowledge map comprising a plurality of nodes, each node representing at least one learning objective, wherein the nodes are arranged in the knowledge map hierarchically and so as to represent prerequisite relationships between learning objectives;
• ii) a plurality of learning activities, each learning activity comprising one or more graphical user interface (GUI) elements and dynamically variable scaffolding, feedback, and content;
• iii) a data storage associating one or more of the nodes with one or more of the learning activities;
• iv) an analytics engine generating learner data based on a learner's previous performance from past learning activities;
• and
• v) instructions, which when executed by one or more processors, causes the one or more processors to perform:
• identifying at least one current node on the map for the learner based on the generated learner data and using the at least one current node, generated learner data, and the data storage to select one or more learning activities for the learner;
• b) a client-side learning activity modification application comprising instructions, which when executed by one or more processors, causes the one or more processors to perform:
• dynamically varying the scaffolding, feedback, and content on a learning activity GUI of at least one selected learning activity based on the learner's interaction with one or more GUI elements on the learning activity GUI, wherein the dynamic variance of the scaffolding comprises modifying one or more GUI elements within the learning activity of the learning activity GUI until the learner achieves mastery.