Provided is an information processing apparatus that performs human emotion recognition using artificial intelligence.

The information processing apparatus includes: a preprocessing unit that determines whether or not to permit provision of a service based on emotion recognition on the basis of a predetermined criterion; an emotion estimation processing unit that performs the emotion recognition for a user by using an artificial intelligence function; and a service providing processing unit that provides a service based on an emotion recognition result by the emotion estimation processing unit, in which, when the preprocessing unit determines to permit the provision of the service, the emotion estimation processing unit performs the emotion recognition or the service providing processing unit provides the service.

A system and method are disclosed for modularly scheduling learning events in a modular learning system. Information about application services and microlearning events are stored in the modular learning system, with each microlearning event comprising a plurality of learning applications associated with the application services. The modular learning system receives a request from an organizing user to organize a microlearning event, and in response the modular learning system generates a set of services compatible with the event.

A system and method for creating a standardized format for the display of skills information, and more particularly a format suitable to represent what is learned from any discrete task, resource, experience, project, or activity.

A system for checking modifications made to re-configurable hardware and software is described. An example system includes re-configurable hardware and software; a checking tool having a configuration data connection to the re-configurable hardware and software, the checking tool configured to obtain configuration data comprising configuration changes made to the re-configurable hardware and software; a comparator having a comparison data connection to the checking tool, the comparator configured to compare the configuration data with customised configurations within a scoring engine to produce a score for the configuration data; a set and reset initiator having an instruction data connection to a management system; and a hardware and software set and reset tool having an initiation data connection to the set and reset initiator and having a set and reset data connection to the re-configurable hardware and software, the hardware and software set and reset tool configured to reset the re-configurable hardware and software to a predetermined state.

Methods, systems, and apparatus, including computer-readable storage media, for course assignment by a multi-learning management system. The system can receive data from a variety of individual learning management systems offering different courses. The system can use feedback data of a user base for the system to cluster courses by predicted difficulty, and generate, from the clusters, a sequence of courses for a target user. The sequence of courses can include at least one course from each cluster, with courses from a first cluster with a lower overall difficulty measure preceding courses in a second cluster with a higher overall difficulty measure in the sequence, wherein the starting cluster can be calculated according to the estimated level of the target user.

Systems and methods of the present invention provide for receiving, from a content activity agent on a first client device, a content usage data; input, into a machine learning model, at least one content activity parameter, translated from the content usage data; generating, using an output from the machine learning model, a graphical user interface (GUI), displayed on a second client device, and including a report of: the output, a recommendation for an update to a course content, and a prediction of an increase to an average assessment score associated with the course content if the updated content is used.

Systems and methods are provided for compensating contributors, comprising writers, editors, and reviewers, of assessment items, comprising questions, answers, and answer explanations. The systems and methods presented comprise hardware architecture, computer-implemented processes, and instructions configured to carry out the processes for compensating contributors. A user may use the systems and methods to contribute assessment items, to take assessment items in an assessment, to select or have selected assessment items for an assessment, and/or to provide information related to assessment items. The present invention solves problems with the currently available systems and methods of compensating contributors of assessment items.

A method of delivering educational content to a user includes accessing a first content item of a plurality of content items based on a knowledge base, where the knowledge base includes a graph structure with a plurality of nodes associated with the plurality of content items. The method further includes providing the first content item to a user on a display and receiving one or more user assessment variables based on a response of the user to the first content item. A second content item of the plurality of content items is recommended based on the one or more user assessment variables and the knowledge base. The method further includes accessing the second content item recommended by the node and displaying the second content item of the display.

A method of delivering educational content to a user includes accessing a first content item of a plurality of content items based on a knowledge base, where the knowledge base includes a graph structure with a plurality of nodes associated with the plurality of content items. The method further includes providing the first content item to a user on a display and receiving one or more user assessment variables based on a response of the user to the first content item. A second content item of the plurality of content items is recommended based on the one or more user assessment variables and the knowledge base. The method further includes accessing the second content item recommended by the node and displaying the second content item of the display.

In accordance with one embodiment of the present disclosure, a method for author verification includes extracting, with a processor, text data from an electronic document to produce a plurality of sentences, extracting, with a natural language processing (NLP) tool, a plurality of keywords from the text data, selecting, with the processor, a sentence from the plurality of sentences based on the plurality of keywords, identifying, with the processor, a keyword of the sentence, wherein the keyword is included within the plurality of keywords, and transforming, with the processor and the NLP tool, the keyword into an authentication output provided for display to a user on an electronic display, the authentication output comprising one or more answer options based on the keyword and being selectable by the user via a user input device.