In order to achieve the above object, an information processing apparatus according to an embodiment of the present technology includes an evaluation unit. The evaluation unit sets an evaluation value relating to an educational situation on the basis of a correlation between educator action information, which is a classification result obtained by classifying an action of an educator into one of a plurality of educator action patterns, and learner action information, which is a classification result obtained by classifying an action of a learner into one of a plurality of learner action patterns.

A method for predicting a test score of a user through an artificial intelligence model by a terminal, includes: delivering training data of the user to a first layer for embedding; embedding the training data through the first layer; delivering an embedding vector from the first layer to a second layer including a compressive transformer; delivering an output value from the second layer to a third layer for predicting the test score; and outputting a prediction value for predicting the test score from the third layer.

A method for predicting a test score of a user through an artificial intelligence model by a terminal, includes: delivering training data of the user to a first layer for embedding; embedding the training data through the first layer; delivering an embedding vector from the first layer to a second layer including a compressive transformer; delivering an output value from the second layer to a third layer for predicting the test score; and outputting a prediction value for predicting the test score from the third layer.

A learning assistance device for a user to perform a learning task includes: a first concentration level estimator that estimates a first concentration level of the user, by analyzing information from an image capturing section that captures an image of a user; a second concentration level estimator that estimates a second concentration level of the user, by analyzing information which the user has actively input when performing a learning task; and a presentation switching section that switches between learning task content and between presentation schemes, based on at least one of the first concentration level or the second concentration level.

Computing device(s) are configured for managing the reunification of students with parents during an emergency or a drill for a simulated emergency. The reunification of students with guardians may be managed through the operations of various user interfaces (UIs) presented on the device(s). Different UIs may be configured to support different personnel performing different roles in the reunification process. The UIs may include one or more of a student supervisor UI, a location supervisor UI, a runner UI, a guardian greeter UI, a reunification officer UI, or an incident commander UI. The various UIs enable different personnel to track the location and status of individuals, such as students and guardians, during various stages of a reunification process, enable personnel to dynamically update a centralized database with current information regarding the location and status of individuals, and view real time information regarding the location and status of individuals.

Computing device(s) are configured for managing the reunification of students with parents during an emergency or a drill for a simulated emergency. The reunification of students with guardians may be managed through the operations of various user interfaces (UIs) presented on the device(s). Different UIs may be configured to support different personnel performing different roles in the reunification process. The UIs may include one or more of a student supervisor UI, a location supervisor UI, a runner UI, a guardian greeter UI, a reunification officer UI, or an incident commander UI. The various UIs enable different personnel to track the location and status of individuals, such as students and guardians, during various stages of a reunification process, enable personnel to dynamically update a centralized database with current information regarding the location and status of individuals, and view real time information regarding the location and status of individuals.

A skill-gap analysis and recommender system and method is described that serves as a personalized education and skill (PES) map. It provides a comprehensive presentation of the opportunities afforded by the University along with a detailed analysis of trends for placements and career goals. It conducts a comprehensive analysis of past student data and current market trends to make recommendations that are adapted to each student's profile in line with their individual career goals. This is accomplished using an algorithm for adaptive association pattern mining with a built-in mechanism for creation of meta-categories and drill-down for specifics, so as to meet the needs of every student and not miss infrequent patterns or rare opportunities afforded by the system. For the recommendations generated, the system also provides an assessment of the time-sensitivity of a goal and a mechanism for students to track their progress through prioritizing short and long term goals.

A computer implemented method for determining the veracity of a completed task for validating the completed task towards the progression of a goal is disclosed. The completed task is a medical procedure performed by a first party. The goal is to compile a predetermined number of completed tasks required by a third party. The method includes receiving and storing registration data from a first party, second party, and third party. The method receives medical case information from the first party. The method causes an SMS message to be sent to the second party for soliciting approval of the case data. If an approval is received, then the method generates a validated medical case record. The method stores the validated medical case record to the blockchain and mints a token associated with the validated medical case. The method tracks the progression towards the goal based on validated medical cases.

A system and method for determining optimal pathways to a predetermined goal, including generating a unique code for an event within a plurality of data records, where the same unique code will be generated for similar events; constructing at least one pathway using the unique codes based on the events, wherein the at least one pathway includes at least one segment; determining a goal, wherein the goal is the end of the at least one pathway; comparing the at least one pathway to other pathways sharing the determined goal; and optimizing the pathway for achievement of the determined goal.

Exemplary embodiments of methods and devices for obtaining more accurate hand hygiene compliance metrics are disclosed herein. An exemplary device or badge for a hygiene compliance system includes a housing; a processor located in the housing; memory in circuit communication with the processor; wireless communication circuitry in circuit communication with the processor; and an additional time input in circuit communication with the processor.