Job recall services in online education platforms

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:

• 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, and
• 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;
• 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.

A method for recommending job recall activities to a user of an online education platform, 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, and
• 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;
• 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.