Methods and systems for improving resource content mapping for an electronic learning system

Patent metadata

Field	Value
Publication number	US-10748436-B2
Application number	US-201514729612-A
Country	US
Kind code	B2
Filing date	Jun 3, 2015
Priority date	Jun 3, 2015
Publication date	Aug 18, 2020
Grant date	Aug 18, 2020

Abstract

Methods and systems for improving resource content mapping for an electronic learning system. The methods can include: receiving, by the electronic learning system, a resource for satisfying at least one learning objective of the one or more learning objectives, the resource comprising a content having a content data convertible into a text data and one or more resource property fields defining at least one characteristic of the resource; sectioning the content data into one or more content portions based on an analysis of at least one of the content data and the one or more resource property fields; and assigning at least one content portion of the one or more content portions to at least one learning objective.

First claim

We claim:

1. A method for improving resource content mapping for an electronic learning system, the electronic learning system including a processor and at least one memory in electronic communication with the processor, the at least one memory storing a database comprising one or more learning objectives, the method comprising:
receiving, by one or more processors associated with the electronic learning system, an electronic resource for matching to the database comprising at least one learning objective of the one or more learning objectives, the electronic resource comprising a content having a content data convertible into a text data and one or more resource property fields defining at least one characteristic of the electronic resource;
sectioning, by one or more processors associated with the electronic learning system, the content data into one or more content portions based on the one or more resource property fields;
calculating a score based at least on the one or more content portion and content in the database comprising the least one learning objective, wherein the score indicates a degree of correlation between the one or more content portion and the least one learning objective;
determining, by one or more processors associated with the electronic learning system, based on the score whether content included in the one or more content portions match the content in the database comprising the at least one learning objective of the one or more learning objectives,
in response to determining that content included in the one or more content portions match the content in the database comprising the at least one learning objective of the one or more learning objectives, assigning, by one or more processors associated with the electronic learning system, at least one content portion of the one or more content portions to the database comprising the at least one learning objective;
determining a learning path data structure comprising a plurality of learning objects associated with a plurality of learning objectives, the plurality of learning objects comprising the at least one content portion, and an electronic learning evaluation resource;
updating the learning path data structure based on feedback associated with completion of the electronic learning evaluation resource; and
displaying in a user interface the learning path data structure.

2. The method of claim 1 , wherein sectioning the content data into the one or more content portions based on the one or more resource property fields and the metadata comprises:
determining whether the one or more resource property fields includes one or more resource structure fields, the one or more resource structure fields defining a content structure of the content data and the content structure including one or more data hierarchy levels; and
in response to determining the one or more resource property fields includes the one or more resource structure fields, sectioning the content data into the one or more content portions according to at least one data hierarchy level of the one or more data hierarchy levels.

3. The method of claim 1 , wherein the one or more content portions comprises two or more data hierarchy levels.

4. The method of claim 1 , wherein the electronic resource comprises a video, and receiving the electronic resource for matching to the at least one learning objective comprises transcribing an audio data into the text data.

5. The method of claim 1 , wherein the electronic resource comprises an image comprising at least a portion that is convertible to text data, and receiving the electronic resource for matching to the at least one learning objective comprises applying an electronic character recognition conversion to the image for generating the text data from the image.

6. An electronic learning system comprising:
a processor;
a memory in electronic communication with the processor, the memory containing instructions recorded thereon, when executed by the processor, causes the processor to:
receive an electronic resource for matching to a database comprising at least one learning objective of one or more learning objectives, the database being stored in the memory, the electronic resource comprising a content having a content data convertible into a text data and one or more resource property fields defining at least one characteristic of the electronic resource;
section the content data into one or more content portions based on the one or more resource property fields;
calculate a score based at least on the one or more content portion and content in the database comprising the least one learning objective, wherein the score indicates a degree of correlation between the one or more content portion and the least one learning objective;
determine based on the score whether content included in the one or more content portions match the content in the database comprising at least one learning objective of the one or more learning objectives;
in response to determining that content included in the one or more content portions match the content in the database comprising at least one learning objective of the one or more learning objectives, assign at least one content portion of the one or more content portions to the database comprising the at least one learning objective;
determine a learning path data structure comprising a plurality of learning objects associated with a plurality of learning objectives, the plurality of learning objects comprising the at least one content portion, and an electronic learning evaluation resource;
update the learning path data structure based on feedback associated with completion of the electronic learning evaluation resource; and
display in a user interface the learning path data structure.

7. The electronic learning system of claim 6 , wherein the processor operates to:
determine whether the one or more resource property fields includes one or more resource structure fields, the one or more resource structure fields defining a content structure of the content data and the content structure including one or more data hierarchy levels; and
in response to determining the one or more resource property fields includes the one or more resource structure fields, section the content data into the one or more content portions according to at least one data hierarchy level of the one or more data hierarchy levels.

8. The electronic learning system of claim 6 , wherein the one or more content portions comprises two or more data hierarchy levels.

9. The electronic learning system of claim 6 , wherein the electronic resource comprises a video, and the processor operates to transcribe an audio data into the text data.

10. The electronic learning system of claim 6 , wherein the electronic resource comprises an image comprising at least a portion that is convertible to text data, and the processor operates to apply an electronic character recognition conversion to the image for generating the text data from the image.

Assignees

• D2L Corp

Inventors

• Bilic Jugoslav
• Michaud Stephen John
• Bayly Martin David Goodenough
• Ogg Ryan Clayton

Classifications

• G09B5/00 Primary

  Electrically-operated educational appliances (working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F) · CPC title