Learning apparatus in digital environment

• US 10,445,660 B2
• Filed: 02/05/2016
• Issued: 10/15/2019
• Est. Priority Date: 02/12/2015
• Status: Active Grant

• Current Assignee: Hong Tan, Zhengfang Ma
• Original Assignee: Hong Tan, Zhengfang Ma
• Inventors: Ma, Zhengfang, Tan, Hong
• Primary Examiner(s): Sitiriche, Luis A
• Application Number:
  US15/545,319
• Publication Number:
  US 20180005138A1
• Time in Patent Office: 1,348 Days
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06Q 50/10 Services
• CPC Class Codes: G06Q 50/20 Education

Abstract

A learning apparatus in a digital environment is advantageous to interaction and communication among users who use a knowledge point structure for learning. The learning apparatus in the digital environment constructs a structurized knowledge library by editing knowledge points, tags of the knowledge points and a relationship among the knowledge points; then records a user'"'"'s mastery degree for the knowledge points on the basis of the tags; and records knowledge learning information and social attribute information thereof for each user, so as to construct a general-class learning record, a single-class learning record and a general knowledge learning system of the user, which can also be used for the user to view the popularity of each tag in the knowledge library.

Claims

1. A knowledge-learning system in a digital environment, comprising:

a terminal device for recording knowledge learning information from interactive learning operations by a user, wherein the terminal device comprises an application specific integrated circuit; and

a cloud server coupled with the terminal device via a communication medium, wherein the cloud server comprises one or more processors and a non-volatile memory having instructions stored thereon, wherein

when executing the instructions, the one or more processors are enabled to receive the knowledge learning information from the terminal device via the communication medium,

the non-volatile memory of the cloud server comprises;

a first area for storing a knowledge structure based on a set of knowledge points, a set of tags, a set of relationships among the set of knowledge points and the set of tags, and

a second area for storing user information associated with the user,

wherein time-based learning tracks based on the knowledge learning information received from the terminal device and the structurized knowledge are stored as the user information in the second area of the non-volatile memory,

wherein the first area of the non-volatile memory comprises;

a first sub-area for storing the set of knowledge points;

a second sub-area for storing the set of tags having one-to-one correspondences with the set of knowledge points; and

a third sub-area for storing the set of relationships among the set of knowledge points and the set of tags; and

wherein the knowledge structure is constructed based on the set of relationships and the set of knowledge points is stored with the knowledge structure.

2. The knowledge-learning system as recited in claim 1, wherein the communication medium is a connection allowing data structures to be transported from a web site, a server, or a remote source using a coaxial-cable, an optical fiber cable, a twisted pair, a digital subscriber line (DSL), or wireless techniques such as infrared, radio, and microwave.

3. The knowledge-learning system as recited in claim 1, wherein the terminal device performs a knowledge point access operation to access for text, picture, audio, video, multi-media, or multi-language information.

4. The knowledge-learning system as recited in claim 1, wherein the knowledge learning information further comprises

a subset of knowledge points selected from the set of knowledge points during the interactive learning operations by the user,

a subset of relationships related to the subset of knowledge points,

a classification about the interactive learning operations by the user, and

social attribute information related to sharing of the subset of knowledge points by the user.

5. The knowledge-learning system as recited in claim 4, wherein the user information includes

the subset of knowledge points corresponding to the user,

the subset of relationships corresponding to the user,

a user knowledge structure constructed based on the subset of knowledge points and the subset of relationships, and

the social attribute information related to the user.

6. The knowledge-learning system as recited in claim 4, wherein the user information is classified as viewed, authenticated, or mastered.

7. The knowledge-learning system as recited in claim 4, wherein the social attribute information includes whether the user shares the subset of knowledge points.

8. The knowledge-learning system as recited in claim 1, wherein the time-based learning tracks are recorded during a learning of the subset of knowledge points by the user.

9. The knowledge-learning system as recited in claim 1, wherein the time-based learning tracks are recorded during a learning of a single class of knowledge points by the user.

10. The knowledge-learning system as recited in claim 1, wherein when executing the instructions, the one or more processors of the cloud server is further enabled for displaying popularity of the set of knowledge points.