Techniques are provided that employ haptic feedback to influence an engagement level of a remote user. One method comprises obtaining sensor data associated with a remote user interacting with educational content items; applying the sensor data to an analytics engine to obtain an engagement status indicating an engagement level of the remote user with the educational content items; and automatically initiating a provision of a haptic feedback signal to the remote user based on the engagement status. The engagement status may comprise an engagement score, and the haptic feedback signal may be sent to the remote user based on an evaluation of the engagement score relative to one or more threshold-based criteria. A type and/or an intensity of the haptic feedback signal can be based on one or more user preferences of the remote user.

Systems and methods for evaluating and improving reading skills in real time are disclosed. The method may include receiving a user selection of an electronic book in an application executing on a user device associated with a first user, opening the user selection of the electronic book in the application, initiating a video call or an audio call with a second user in the application, receiving from the first user one or more first spoken words associated with a first reading content of the electronic book, transcribing the one or more first spoken words to first text via the application, determining if the first text matches the first reading content of the electronic book, and transmitting the determination of whether the first text matches the first reading content of the electronic book to the first user and the second user.

Embodiments of the present invention provide a computer system a computer program product, and a computer implemented method. Embodiments of the present invention can identify at least one user in a plurality of users using a plurality of indicative markers. Embodiments of the present invention can then dynamically analyze input data stored on a computing device associated with the identified user and generate an automated personalized walkthrough by tailoring a plurality of steps within the input data to the at least one identified user. Certain embodiments of the present invention can then, in response to generating the automated personalized walkthrough, generate an automated personalized tutorial by aggregating the generated walkthrough and the at least one identified user based on a predetermined threshold of assessment.

Embodiments of the present invention provide a computer system a computer program product, and a computer implemented method. Embodiments of the present invention can identify at least one user in a plurality of users using a plurality of indicative markers. Embodiments of the present invention can then dynamically analyze input data stored on a computing device associated with the identified user and generate an automated personalized walkthrough by tailoring a plurality of steps within the input data to the at least one identified user. Certain embodiments of the present invention can then, in response to generating the automated personalized walkthrough, generate an automated personalized tutorial by aggregating the generated walkthrough and the at least one identified user based on a predetermined threshold of assessment.

A streaming-based VR multi-split system and method are provided. The system includes a control system, a manipulation terminal and at least one experience terminal. The control system includes a streaming media server, a streaming coding and decoding interaction module and a VR platform. The streaming decoding and interaction processing module is configured to receive a video stream sent by the streaming coding and decoding interaction module, collect interaction data at one side of the manipulation terminal in real time, and transmit the interaction data to the streaming coding and decoding interaction module. The streaming coding and decoding interaction module sends a video picture code of the VR platform to the manipulation terminal, and pushes the video stream corresponding to the interaction data to the streaming media server. A presentation picture corresponding to an operation of the experience terminal is acquired by the streaming media server.

Systems and methods for automatic generation of a content presentation plan are disclosed herein. The method can include receiving content identification information, retrieving objective information for the one or several objectives identified for inclusion in a content presentation plan, identifying at least one prerequisite skill for completion of at least one of the one or several objectives, generating at least one remediation question configured to delineate between users having mastery of the at least one prerequisite skill and users not having mastery of the at least one prerequisite skill, pre-selecting remedial content for providing to users identified as not having mastery of the at least one prerequisite skill, selecting objective content corresponding to the at least one objectives, and creating a content presentation plan containing the at least one remediation question, the remedial content, and the objective content.

Systems and methods for automatic generation of a content presentation plan are disclosed herein. The method can include receiving content identification information, retrieving objective information for the one or several objectives identified for inclusion in a content presentation plan, identifying at least one prerequisite skill for completion of at least one of the one or several objectives, generating at least one remediation question configured to delineate between users having mastery of the at least one prerequisite skill and users not having mastery of the at least one prerequisite skill, pre-selecting remedial content for providing to users identified as not having mastery of the at least one prerequisite skill, selecting objective content corresponding to the at least one objectives, and creating a content presentation plan containing the at least one remediation question, the remedial content, and the objective content.

An object is to provide an information processing apparatus capable of analyzing operation log data that can be acquired through a digital device and effectively using the operation log data. An information processing apparatus (10) according to the present disclosure includes an information collection unit (11) configured to collect an operation log generated when a digital device is operated from a plurality of the digital devices, an execution unit (12) configured to co-cluster operator information and content information. The operator information is for identifying an operator of the digital device included in a plurality of the operation logs, and the content information is about content viewed by the operator using the digital device, and a post-processing unit (13) configured to create confirmation data using an execution result of the co-clustering.

An object is to provide an information processing apparatus capable of analyzing operation log data that can be acquired through a digital device and effectively using the operation log data. An information processing apparatus (10) according to the present disclosure includes an information collection unit (11) configured to collect an operation log generated when a digital device is operated from a plurality of the digital devices, an execution unit (12) configured to co-cluster operator information and content information. The operator information is for identifying an operator of the digital device included in a plurality of the operation logs, and the content information is about content viewed by the operator using the digital device, and a post-processing unit (13) configured to create confirmation data using an execution result of the co-clustering.

A VR education system includes a teaching plan storage unit that stores the teaching plan for each lecture including lecture information and at least one keyword and key image, an instructor evaluation unit that converts the instructor's voice data, input through the voice module of the instructor's terminal, into text data by speech-to-text processing and compares the converted data with the teaching plan data stored in the teaching plan storage unit, an instructor recommendation unit that generates an instructor list in the order of matching rate, from highest to lowest, based on the matching rates calculated by the instructor evaluation unit, a lecture providing unit that provides the lecture of an instructor, selected from the instructor list from a trainee terminal, to the trainee terminal, and a lecture monitoring unit that monitors lectures in progress to detect any event that may occur during the lecture.