System for online course creation

A system of creating a custom online course based on matching content with a course syllabus, the system comprising:

• memory that stores an optical character recognition (OCR) machine-learning model and a matching machine-learning model;
• a communication interface that communicates over a communication network with a user device, wherein the communication interface communicates to receive an electronic course syllabus document having a first organizational outline;
• and
• a processor that executes instructions stored in memory, wherein the processor executes the instructions to:
• apply the optical character recognition (OCR) machine-learning model adapted from rule-based text classification to extract and parse the electronic course syllabus document into at least two course segments of the first organizational outline that are classified through a multi-pass sieve framework, wherein the OCR machine-learning model determines first weights based on parsed training data including parsed course segment text associated with determined course segments;
• receive at least one supporting course material content having a second organizational outline;
• apply the matching machine-learning model to match course material content with one or more course segments of the at least two course segments, wherein the matching machine-learning model determines second weights based on matched training data including the determined course segments and matched course material content, and wherein the matched course material content is in a different order than the second organizational outline;
• present the course segments and the matched course material content for approval;
• and
• generate a custom online course with the approved course segments and the matched course material.

A non-transitory, computer-readable storage medium, having embodied thereon instructions executable by a computing system to perform a method for creating a custom online course based on matching content with a course syllabus, the method comprising:

• receiving an electronic course syllabus document having a first organizational outline;
• using an optical character recognition (OCR) machine-learning model adapted from rule-based text classification to extract and parse the electronic course syllabus document into at least two course segments of the first organizational outline that are classified through a multi-pass sieve framework, wherein the OCR machine-learning model determines first weights based on parsed training data including parsed course segment text associated with determined course segments;
• receiving at least one supporting course material content having a second organizational outline;
• using a matching machine-learning model to match course material content with one or more course segments of the at least two course segments, wherein the matching machine-learning model determines second weights based on matched training data including the determined course segments and matched course material content, and wherein the matched course material content is in a different order than the second organizational outline;
• presenting the course segments and the matched course material content for approval;
• and
• generating a custom online course with the approved course segments and the matched course material.