Job recall services in online education platforms
First Claim
1. A method for correlating job recall materials to educational courses, the method comprising:
- extracting learning units, by an automated learning units extraction system of an online education platform, from content stored on a platform content catalog database of the online education platform, the extracting comprising;
performing text extraction on the content to extract sequences of glyphs and embedded fonts;
mapping the extracted sequences of glyphs and embedded fonts into character strings in a Unicode format, a position of each character identified by a horizontal and a vertical location;
generating multilayered markup language documents from the character strings by aggregating content layers onto the character strings, the content layers comprising advertising content, social content, and user-generated content;
identifying, from the multilayered markup language documents, content media types of the content comprising primary sources and secondary sources, the primary sources comprising one or more of a summary, a syllabus, and a textbook, the secondary sources comprising one or more of related content, user-generated content, Q&
A, and testing materials, andsorting the content media types according to reliability of the content media types, wherein reliability of the primary sources is higher than reliability of secondary sourcesreceiving at the online education platform, a job recall material uploaded to the online education platform;
extracting properties from the job recall material, the properties comprising content attributes and delivery attributes of the job recall material;
mapping, by the online education platform, the job recall material to at least one of the plurality of learning units based on the extracted properties of the job recall material; and
responsive to a user of the online education platform completing the at least one of the plurality of learning units to which the job recall material is mapped, recommending the job recall material to the user.
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Accused Products
Abstract
An online education platform manages and integrates a number of education services for users of the platform, including job recall services. These job recall services include management and distribution of job recall materials that test whether job applicants have acquired desired knowledge or skills for a particular job opening or class of jobs. The job recall materials are uploaded to the education platform and mapped to one or more learning units. Each learning unit is associated with an educational course and includes a distinct concept in the associated course. Responsive to a user of the education platform completing the learning unit to which a job recall material is mapped, the job recall material is recommended to the user.
28 Citations
20 Claims
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1. A method for correlating job recall materials to educational courses, the method comprising:
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extracting learning units, by an automated learning units extraction system of an online education platform, from content stored on a platform content catalog database of the online education platform, the extracting comprising; performing text extraction on the content to extract sequences of glyphs and embedded fonts; mapping the extracted sequences of glyphs and embedded fonts into character strings in a Unicode format, a position of each character identified by a horizontal and a vertical location; generating multilayered markup language documents from the character strings by aggregating content layers onto the character strings, the content layers comprising advertising content, social content, and user-generated content; identifying, from the multilayered markup language documents, content media types of the content comprising primary sources and secondary sources, the primary sources comprising one or more of a summary, a syllabus, and a textbook, the secondary sources comprising one or more of related content, user-generated content, Q&
A, and testing materials, andsorting the content media types according to reliability of the content media types, wherein reliability of the primary sources is higher than reliability of secondary sources receiving at the online education platform, a job recall material uploaded to the online education platform; extracting properties from the job recall material, the properties comprising content attributes and delivery attributes of the job recall material; mapping, by the online education platform, the job recall material to at least one of the plurality of learning units based on the extracted properties of the job recall material; and responsive to a user of the online education platform completing the at least one of the plurality of learning units to which the job recall material is mapped, recommending the job recall material to the user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A non-transitory computer-readable storage medium storing executable computer program instructions for correlating job recall materials to educational courses, the computer program instructions comprising instructions for:
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extracting learning units, by an automated learning units extraction system of an online education platform, from content stored on a platform content catalog database of the online education platform, the extracting comprising; performing text extraction on the content to extract sequences of glyphs; mapping the extracted sequences of glyphs and embedded fonts into character strings in a Unicode format; generating multilayered markup language documents from the character strings by aggregating content layers onto the character strings; identifying, from the multilayered markup language documents, content media types of the content comprising primary sources and secondary sources, the primary sources comprising one or more of a summary, a syllabus, and a textbook, the secondary sources comprising one or more of related content, user-generated content, Q&
A, and testing materials, andsorting the content media types according to reliability of the content media types, wherein reliability of the primary sources is higher than reliability of secondary sources; receiving at the online education platform, a job recall material uploaded to the online education platform; mapping, by the online education platform, the job recall material to at least one of the learning units; and responsive to a user of the online education platform completing the at least one of the learning units to which the job recall material is mapped, recommending the job recall material to the user. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A method for recommending job recall activities to a user of an online education platform, the method comprising:
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extracting learning units, by an automated learning units extraction system of an online education platform, from content stored on a platform content catalog database of the online education platform, the extracting comprising; performing text extraction on the content to extract sequences of glyphs and embedded fonts; mapping the extracted sequences of glyphs and embedded fonts into character strings in a Unicode format; generating multilayered markup language documents from the character strings by aggregating content layers onto the character strings; identifying, from the multilayered markup language documents, content media types of the content comprising primary sources and secondary sources, the primary sources comprising one or more of a summary, a syllabus, and a textbook, the secondary sources comprising one or more of related content, user-generated content, Q&
A, and testing materials, andsorting the content media types according to reliability of the content media types, wherein reliability of the primary sources is higher than reliability of secondary sources accessing user profile data of the user specifying learning units and job recall activities completed by the user, each job recall activity describing a user interaction with a job recall material; identifying by the online education platform, a set of available job postings based on learning units associated with each available job posting and the learning units completed by the user; determining by the online education platform, a recall gap between job recall activities associated with the available job postings and the job recall activities completed by the user, the recall gap comprising uncompleted job recall activities each mapped to at least one of the learning units in the learning units database; and recommending the uncompleted job recall activities to the user. - View Dependent Claims (18, 19, 20)
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Specification