Abstract: Disclosed is a computer-implemented method and system for tagging content for social interchange. When a user-generated post is received from a user device accessing a document from an online education platform for posting to an external social network, the system tags the user-generated post with a unique document-part identifier (ID) identifying a part of the document with which the post is associated. The document-part ID identifies the same part in both electronic and paper versions of the document. The post tagged by the document-part ID is posted to a live feed associated with the document-part ID on the external social network. User-generated posts from the live feed associated with the document-part ID on the external social network can be retrieved and displayed to the user.

Abstract: An educational course is automatically deconstructed into discrete learning units. Content related to the course that has been stored by an integrated education platform is analyzed, and distinct concepts are extracted from the content. In addition, the learning activities in which users engage while accessing integrated learning services from the platform are recorded. These activities can generally be divided into passive, active, and recall activities. By deconstructing educational courses into individual concepts, a general model of learning is then applied that connects concepts to the activities undertaken by students to learn those concepts. As a result, a model of learning is developed where courses are atomized into individual learning units, each of which comprises a concept and at least one learning activity. The learning units then can be delivered independently or aggregated as desired.

Abstract: A content classification system classifies documents of a plurality of content entities into a hierarchical discipline structure. The content classification system receives a set of taxonomic labels collectively defining a hierarchical taxonomy and a plurality of documents. Each document is associated with one of the content entities. The content classification system extracts features from the received documents. A learned model is generated for assigning taxonomic labels to documents associated with a representative content entity using the features extracted from documents associated with the representative content entity. The content classification system assigns one or more taxonomic labels to each document of the other content entities using the learned model applied to the features extracted from the respective document. The documents of the plurality of content entities are classified based on the assigned taxonomic labels.

Abstract: An online education platform matches users for academic assistance events. The education platform receives offers for academic assistance events from providers, each of whom has accessed one or more textbook solutions documents. The education platform captures a time-sensitive request for an academic assistance event from a seeker. The request is associated with a textbook solutions document. Based on the textbook solutions document associated with the requested event and the textbook solutions documents accessed by the providers, the education platform pairs the requested event to at least one offered event. During a time window of the at least one offered event, the education platform detects proximity of the seeker and the provider and notifies the seeker and provider of the detected proximity. The education platform connects the seeker and provider, enabling communication between the users.

Abstract: A terms listing production system generates a terms listing associated with an electronic document. Primary terms and primary definitions may be extracted from a glossary associated with the electronic document. Secondary terms may be identified based on user searches in relation to the electronic document. Secondary definitions associated with primary terms or secondary terms may be retrieved from external content and stored in connection with the associated terms. A markup language document configured for presentation to users is generated based on the stored terms and definitions.

Abstract: A method for sharing multilayered electronic content among users of a social network within a digital education platform is provided. In one embodiment, the digital education platform allows a user to create user-generated content associated with a multilayered document and share the content with other users in an education social network. The user can specify which users to share the user-generated content and assign an access right to each of those users that may access the user-generated content. When the digital education platform receives a request to access the user-generated content from a certain user, an access right associated with that user for the user-generated content is determined and access is granted according to the access right.

Abstract: An electronic publishing platform maps supplemental content layers associated with one or more paired target documents, such as user-generated content layers associated with the paired target documents, into a source document. The publishing platform correlates content items in the source document to content items in the paired target documents. Based on the correlation, the publishing platform generates indexes mapping the source document content items to the paired target document content items. The publishing platform uses the indexes to map supplemental content layers associated with the paired target document to the source document.

Abstract: A method, a storage medium and a system for document content reconstruction are provided in a digital content delivery and online education services platform to enable delivery of textbooks and other copyrighted material to multi-platform web browser applications. The method comprises ingesting a document page in an unstructured document format. The method further comprises extracting one or more images and metadata associated with the images and text and fonts associated with the texts from the document page. In addition, the method comprises coalescing text into paragraphs and creating a structured document page in a markup language format using the extracted images, text and fonts rendered with layout fidelity to the original ingested document page.

Abstract: Disclosed is a computer-implemented method and system for tagging content for social interchange. When a user-generated post is received from a user device accessing a document from an online education platform for posting to an external social network, the system tags the user-generated post with a unique document-part identifier (ID) identifying a part of the document with which the post is associated. The document-part ID identifies the same part in both electronic and paper versions of the document. The post tagged by the document-part ID is posted to a live feed associated with the document-part ID on the external social network. User-generated posts from the live feed associated with the document-part ID on the external social network can be retrieved and displayed to the user.

Abstract: Embodiments of the invention provide a system for automated document conversion testing. For each page in the received documents, the system first converts the page into a source image. The system then converts the document page into a set of markup language page elements and generates a rendered image of the markup language page elements displayed in a web browser on a target software platform. Next, the system determines a correlation factor between the source image and the rendered image. The correlation factor indicates a page fidelity between the original document and its markup language transformation. If the correlation factor exceeds a threshold established for a minimum page fidelity requirement, the markup language conversion is validated.

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.

Abstract: An application gateway enables controlled communication between application components within a browser based environment while maintaining a level of isolation of the individual application components. A dispatching API wrapper and a listening API wrapper are registered for each of a plurality of application components. The registered API wrappers are used to send and receive communications from the associated application components. For example, a first application component can dispatch an action to a second application component via the first application component's dispatching API wrapper. The second application component can receive the action via the second application component's listening API wrapper. As another example, a first application component can dispatch an event that broadcasts a state to other application components via the first application component's dispatching API wrapper.

Abstract: Employers or recruiters populate an online database with job postings. The concepts that job applicants need to have learned to be successful applicants for a job are stated or inferred from the job posting and optionally resumes of others who have held that job. A student's own learning activities are logged by an online education platform. From a comparison between the student's completed learning units and a job posting's required learning units, a personalized learning unit gap can be identified for a student. The online education platform can then recommend how the student can fill the gap by undertaking the study of learning units on the education platform.

Abstract: An online educational publishing platform generates an effective grade point average for respective users of the platform by aggregating data describing educational activities of the users. The educational activity data includes users' interactions with pages of content distributed by the online educational platform, as well as data retrieved from user profiles of the users and external databases. The educational activity data is filtered into a plurality of categories and scored based on scoring metrics associated with the categories. Using the scored user activity data, the publishing platform generates the effective grade point averages. Each user may have multiple eGPAs whose value depends on how the eGPA was generated. Accordingly, an eGPA provides a quantitative representation of a student's academic engagement, achievements, and experiences.

Abstract: An educational course is automatically deconstructed into discrete learning units. Content related to the course that has been stored by an integrated education platform is analyzed, and distinct concepts are extracted from the content. In addition, the learning activities in which users engage while accessing integrated learning services from the platform are recorded. These activities can generally be divided into passive, active, and recall activities. By deconstructing educational courses into individual concepts, a general model of learning is then applied that connects concepts to the activities undertaken by students to learn those concepts. As a result, a model of learning is developed where courses are atomized into individual learning units, each of which comprises a concept and at least one learning activity. The learning units then can be delivered independently or aggregated as desired.

Abstract: Embodiments provide a method and system to publish personalized documents to a secondary market within a digital publishing platform. The personalized document includes multiple layers of content from a foundation document and user-generated content. License conditions for the personalized document are bounded by the license for the foundation document and further limited by the user-specified license for the user-generated content. Once the personalized document is published, other users may order and access it based on the license properties of the personalized document.

Abstract: An augmented reading system distributes electronic content related to paper documents. A user reading a paper document captures an image of a page of the paper document via a computing device communicatively coupled to the augmented reading system. The augmented reading system receives the image and correlates the image to electronic documents to identify the paper document. The augmented reading system may perform an image-based comparison or a character-based comparison to correlate the image with electronic documents. Additional electronic content related to the identified document is retrieved and delivered to the computing device of the user. Accordingly, the augmented reading system provides a bridge between paper documents and digital content and services.

Abstract: Embodiments provide a user-friendly mobile interface for presenting multistep exercises of a dynamic exercise layer in a multilayered textbook within a digital education platform. The mobile interface comprises a variety of elements facilitating navigating, commenting, rating and interacting with the multistep exercises. A first interface element of a picker tab allows users to navigate the plurality of exercises and make selections. Once an exercise is selected from the picker tab, the mobile interface displays the exercise in a second interface element of a window, by showing one or more cascading steps of the selected exercise.

Abstract: Embodiments of the disclosure provide a system for correlating document pages. The system receives a source image of a document page and a rendered image of a markup language page converted from the document page. The system then performs a correlation analysis between the source image and the rendered image. Next, the system determines a correlation factor between the source image and the rendered image based on the correlation analysis, wherein the correlation factor indicates a page fidelity between the document page and the markup language page converted from the document page.

Abstract: An education digital reading platform provides a visualization interface displaying visual object elements of a document to a user. A visual object element may include images, videos, charts, tables, etc. The visual objects may be identified in a document by extracting metadata associated with the document. Additionally, the ideas or concepts represented by the visual object elements may be identified by analyzing the document, and content related to the ideas or concepts may be identified and associated with the visual object elements. The related content may include user generated content or content stored in one or more databases. The related content is provided to a user in the visualization interface wherein the user may access the related content. The interface allows a user to navigate a document by moving from one visual object element to another.