US 2022/0068153 A1 · PERSONALIZED LEARNING SYSTEM

Abstract

A learning system includes a non-transitory memory, and one or more hardware processors configured or programmed to read instructions from the non-transitory memory to cause the learning system to perform operations including generating a user knowledge mesh, wherein the operation of generating the user knowledge mesh includes generating a plurality of topic nodes, each of the plurality of topic nodes corresponding to a topic included in the user knowledge mesh, and generating a plurality of concept nodes, each of the plurality of concept nodes corresponding to a key learnable concept, wherein each of the plurality of topic nodes is connected to another one of the plurality of topic nodes, each of the plurality of concept nodes is connected to one of the plurality of topic nodes, and each of the plurality of key learnable concepts includes one or more interactions related to the key learnable concept.

Claims21

Dependent claims

A learning system comprising:

a non-transitory memory;
and
one or more hardware processors configured or programmed to read instructions from the non-transitory memory to cause the learning system to perform operations including:
generating a user knowledge mesh, wherein the operation of generating the user knowledge mesh includes:
generating a plurality of topic nodes, each of the plurality of topic nodes corresponding to a topic included in the user knowledge mesh;
and
generating a plurality of concept nodes, each of the plurality of concept nodes corresponding to a key learnable concept;
wherein
each of the plurality of topic nodes is connected to another one of the plurality of topic nodes;
each of the plurality of concept nodes is connected to one of the plurality of topic nodes;
and
each of the plurality of key learnable concepts includes one or more interactions related to the key learnable concept.

9 more elements

A learning system comprising:

a non-transitory memory;
and
one or more hardware processors configured or programmed to read instructions from the non-transitory memory to cause the learning system to perform operations including:
determining a readiness score of a user with respect to a key learnable concept;
wherein
the operation of determining the readiness score of the user with respect to the key learnable concept includes:
selecting a specific moment in time;
calculating an age value based on the specific moment in time selected, the age value corresponding to an amount of time since the key learnable concept was last reviewed by the user;
calculating an interim knowledge state value based on the age value and a half-life value that represents an estimated half-life of the memory of the user with respect to the key learnable concept;
calculating a readiness score of the user with respect to the key learnable concept based on the interim knowledge state value and a number of times the user has reviewed the key learnable concept.

7 more elements

Dependencies are inferred from the claim text.

Personalized learning system

Life of this patent

Personalized learning system

Life of this patent

Abstract

Claims21