The present invention provides a method and a system for receiving school data from one school administration device; storing the school data to a remote server; receiving attendance data from one teacher device, dedicated room data from one dedicated hardware device, and unique identification data from one input device; processing the school data, the attendance data, the dedicated room data, and the unique identification data; generating a record of movement; analyzing the school data, the attendance data, the dedicated room data, the unique identification data, and the record of movement to generate an activity identifier; storing the activity identifier and the record of movement to the remote server; generating a visualization; generating a notification; transmitting the notification to the one school administration device, the one teacher device, and one guardian device; and storing the notification.

Methods, systems and computer storage media are disclosed for providing resources to a platform issue. Embodiments describe associating educational resources and an event resource to resolve the platform issue.

A learning apparatus in a digital environment is advantageous to interaction and communication among users who use a knowledge point structure for learning. The learning apparatus in the digital environment constructs a structurized knowledge library by editing knowledge points, tags of the knowledge points and a relationship among the knowledge points; then records a user's mastery degree for the knowledge points on the basis of the tags; and records knowledge learning information and social attribute information thereof for each user, so as to construct a general-class learning record, a single-class learning record and a general knowledge learning system of the user, which can also be used for the user to view the popularity of each tag in the knowledge library.

A method executed by a computing device includes generating a virtual reality environment by detecting an illustrative asset common to first and second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and the first set of assets to produce 3-D frames of a first descriptive asset for issuance to a another computing device using an illustration approach. The method further includes rendering the three-dimensional (3-D) model of the illustrative asset and the second set of assets to produce 3-D frames of a second descriptive asset for issuance to the other computing device using an updated illustration approach.

Systems and related methods for a training protocol are described. The system and methods may include a graphical user interface where after selecting an evaluated trainee and an evaluated task, a score input region populates certain features associated with the evaluated trainee and the evaluated task, including a score region. Furthermore, the systems and methods may further include generating a training report which is configured to receive a plurality of training subjects. In some aspects, generating the training report further includes preventing certain portions of the training report from further edits after a pre-determined event occurs.

An individual learning system includes (i) attribute tag management configured to manage a list of attribute tags indicating attributes of examination questions and learning materials, (ii) attribute tag attachment configured to attach the attribute tags to the examination questions and the learning materials, (iii) attribute tag-attached examination question management configured to record and manage a list of combinations of the learning materials and the attribute tags attached to the examination questions and by the attribute tag attachment, and student-specific correct/incorrect answer attribute tag counting configured to, when examination questions extracted from the attribute tag-attached examination question management are conducted on students, count, for each of the students, attribute tags corresponding to incorrect answers and correct answers given to the examination questions by the student.

A system and a method for connecting a tutor with a student in real time. Initially, the system receives a student profile. Further, the system receives a question from the student. Furthermore, the system synthesizes the question based on a set of predefined machine learning model. Subsequently, the system determines a cohort of the students from the set of the cohort of the students. The cohort of the students is determined based on the one or more parameters related to the question. Further, the system identifies a tutor assigned to the cohort of the students. Subsequently, the system notifies the tutor in real time. Further, the system receives an acknowledgement from the tutor within a predefined time. Finally, the system connects the tutor with the student in real time when the acknowledgement is the positive acknowledgement.

Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.

A method for estimating concept understanding is provided. The method includes the steps of: generating concept-specific correctness/incorrectness sequence data with respect to at least one user, with reference to data on a result of the at least one user solving at least one question associated with at least one concept; and estimating a first user's understanding of a first concept using a concept-specific understanding estimation model that is trained on the basis of the concept-specific correctness/incorrectness sequence data.

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.