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.

Description

RELATED APPLICATIONS[0001]This patent application claims priority to and benefit of the filing date of U.S. Provisional Patent Application No. 63 / 073,749, entitled “Personalized Learning System and Integration of the Same With Videoconferencing and Teleconferencing Platforms and Applications,” filed on Sep. 2, 2020, which is hereby incorporated by reference in its entirety, and U.S. Provisional Patent Application No. 63 / 168,978, entitled “Personalized Learning System and Integration of the Same With Platforms and Applications,” filed on Mar. 31, 2021, which is hereby incorporated by reference in its entirety.BACKGROUND OF THE INVENTION1. Field of the Invention[0002]One or more preferred embodiments of the present invention relate generally to personalized learning systems.2. Description of the Related Art[0003]A conventional grade for a course (e.g., an A) provides information in which the relationship between the grade for the course and the actual declarative knowledge (e.g., a li...

AI Technical Summary

Benefits of technology

This patent describes a learning system that generates a user's knowledge mesh by creating topic nodes and concept nodes based on the user's knowledge. These nodes have interactions related to the concept being learned. The learning system uses these interactions to provide a personalized learning experience for the user. This approach improves the user's ability to learn and retain information.

Problems solved by technology

Furthermore, even with access to the specific curriculum, it is not possible to determine from a traditional course grade how well an individual performed on each part of the curriculum because doing so would also require access to the individual's specific transcript from the institution which may not be available, and / or be presented in a non-standard format.

Furthermore, even with a transcript, the user's knowledge state for individual concepts or topics from the course are still ambiguous because they are fixed numbers, based on a moment or period of time in the past.

In this case, it is not possible to know which individual has retained more of the material over time, and hence what the current knowledge state for each individual might be.

Additionally, an exam can only ever test a subset of the material being learned in a course.

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