Artificial intelligence for learning path recommendations

Patent metadata

Field	Value
Publication number	US-2022208018-A1
Application number	US-202017139003-A
Country	US
Kind code	A1
Filing date	Dec 31, 2020
Priority date	Dec 31, 2020
Publication date	Jun 30, 2022
Grant date	—

Abstract

Providing electronic media content to a user. An educational path and content are recommended to a user based on a user's current knowledge level. A first data set in a data structure representing a knowledge base is identified. The first data set represents a current knowledge point of a user in the knowledge base. A target data point is identified, outside the first data set, in the data structure, the target data point representing a target knowledge point for the user in the knowledge base. A path is generated between the first data set and the target data point via one or more other data points in the data structure.

First claim

What is claimed is:

1 . A method, comprising:
identifying a first data set in a data structure representing a knowledge base, the first data set representing a current knowledge point of a user in the knowledge base; identifying a target data point, outside the first data set, in the data structure, the target data point representing a target knowledge point for the user in the knowledge base; and generating a path between the first data set and the target data point via one or more other data points in the data structure.

2 . The method of claim 1 , wherein identifying the target data point is performed using a user selection of a data point of the data structure.

3 . The method of claim 1 , wherein the target data point represents a knowledge domain identifier.

4 . The method of claim 1 , wherein the target data point represents a natural language document.

5 . The method of claim 1 , wherein nodes of the data structure are associated with educational content.

6 . The method of claim 5 , wherein the educational content comprises text, audio, video, or a combination thereof.

7 . The method of claim 1 , further comprising:
recommending an educational curriculum to the user based on the path generated.

8 . The method of claim 1 , further comprising:
providing educational content to the user based on the path generated.

9 . The method of claim 1 , wherein generating a path comprises:
generating embeddings of a user's knowledge, learning goal, and available learning material, or a combination thereof, using an embedding technique; and performing topic modelling on the learning goal.

10 . The method of claim 1 , wherein generating a path uses an embedding metric.

11 . The method of claim 1 , wherein generating a path comprises uses an approximate metric.

12 . A computer program product for comprising one or more non-transitory tangible storage device having program code embodied therewith, the program code executable by one or more processors of one or more computers to perform a method, the method comprising:
identifying a first data set in a data structure representing a knowledge base, the first data set representing a current knowledge point of a user in the knowledge base; identifying a target data point, outside the first data set, in the data structure, the target data point representing a target knowledge point for the user in the knowledge base; and generating a path between the first data set and the target data point via one or more other data points in the data structure.

13 . The computer program product of claim 12 , wherein identifying the target data point is performed using a user selection of a data point of the data structure.

14 . The computer program product of claim 12 , wherein the target data point represents a knowledge domain identifier.

15 . The computer program product of claim 12 , wherein the target data point represents a natural language document.

16 . The computer program product of claim 12 , wherein nodes of the data structure are associated with educational content comprising comprises text, audio, video, or a combination thereof.

17 . A computer system comprising:
one or more computer devices each having one or more processors and one or more tangible storage devices; and a program embodied on at least one of the one or more storage devices, the program having a plurality of program instructions for execution by the one or more processors, the program instructions comprising instructions for: identifying a first data set in a data structure representing a knowledge base, the first data set representing a current knowledge point of a user in the knowledge base; identifying a target data point, outside the first data set, in the data structure, the target data point representing a target knowledge point for the user in the knowledge base; and generating a path between the first data set and the target data point via one or more other data points in the data structure.

18 . The computer system of claim 17 , wherein identifying the target data point is performed using a user selection of a data point of the data structure.

19 . The computer system of claim 17 , wherein the target data point represents a knowledge domain identifier.

20 . The computer system of claim 17 , wherein the target data point represents a natural language document.

Assignees

• IBM

Inventors

• KHAZAENI Yasaman
• Daly Elizabeth
• Muise Christian
• Yurochkin Mikhail

Classifications

• G06N5/02

  Knowledge representation; Symbolic representation · CPC title

• G09B5/06 Primary

  with both visual and audible presentation of the material to be studied · CPC title

• G06F16/901

  Indexing; Data structures therefor; Storage structures (for retrieval from the web G06F16/951) · CPC title

• G09B7/00 Primary

  Electrically-operated teaching apparatus or devices working with questions and answers (mechanically operated G09B3/00; computing arrangements G06F) · CPC title