A method for predicting a condition of living-being in an environment, the method including capturing image-data associated with the at-least one person and based thereupon determining a current-condition of the person; receiving content from a plurality of content-sources with respect to said at least one person being imaged, said content defined by at least one of text and statistics; defining one or more weighted parameters based on allocating a plurality of weights to at least one of the captured image data and the received content based on the current-condition; and predicting, by a predictive-analysis module, a condition of the at-least one person based on analysis of the one or more weighted parameters.

A processor based input system is provided for automatically determining the cognitive assessment of a human as an input source to a processor based automated system configured for use in a human-machine team. In some embodiments, the processor based input system comprises an input device, a cognitive assessment input system (CAIS) and a processor based automated system. In some embodiments the CAIS comprises an interaction data acquisition module configured to receive input data from the input device as interaction data, a cognitive indicators and work patterns analysis module configured to determine a cognitive measure from the interaction data, an intervention building module configured to determine automation directives for a processor based automated system from the cognitive measure and the automated system is configured to receive and execute automation directives from the CAIS as an input source to the processor based automated system.

A processor based input system is provided for automatically determining the cognitive assessment of a human as an input source to a processor based automated system configured for use in a human-machine team. In some embodiments, the processor based input system comprises an input device, a cognitive assessment input system (CAIS) and a processor based automated system. In some embodiments the CAIS comprises an interaction data acquisition module configured to receive input data from the input device as interaction data, a cognitive indicators and work patterns analysis module configured to determine a cognitive measure from the interaction data, an intervention building module configured to determine automation directives for a processor based automated system from the cognitive measure and the automated system is configured to receive and execute automation directives from the CAIS as an input source to the processor based automated system.

A system, apparatus, and method for using a teaching tool comprises a housing, at least one guide rail formed on an inner surface of the housing, at least one compartment configured in the housing, at least one engagement tool, and a base connected to the housing, wherein the teaching tools can be used for the engagement of students in classroom activities.

A system, apparatus, and method for using a teaching tool comprises a housing, at least one guide rail formed on an inner surface of the housing, at least one compartment configured in the housing, at least one engagement tool, and a base connected to the housing, wherein the teaching tools can be used for the engagement of students in classroom activities.

A system for providing network monitoring and a captive learning portal for a network including a parent device and at least one child devices is provided. The system includes a server providing an authentication system and a learning management system, a gateway device providing a router function and a firewall function. The gateway device connects with the child device and prompts to enter child credentials associated with a child account, communicates with the server to verify the child credentials, and allocate a first time limit to the child account, grants access to the Internet for the child device associated with the child account via the router function in response to successful verification of the child credentials, and blocks access to the Internet for the child device associated with the child account via the firewall function upon said first time limit being reached according to parental control settings for the child account.

A system for providing network monitoring and a captive learning portal for a network including a parent device and at least one child devices is provided. The system includes a server providing an authentication system and a learning management system, a gateway device providing a router function and a firewall function. The gateway device connects with the child device and prompts to enter child credentials associated with a child account, communicates with the server to verify the child credentials, and allocate a first time limit to the child account, grants access to the Internet for the child device associated with the child account via the router function in response to successful verification of the child credentials, and blocks access to the Internet for the child device associated with the child account via the firewall function upon said first time limit being reached according to parental control settings for the child account.

A method for assessing learning comprehension regarding a topic includes modifying a fundamental illustrative model to illustrate a first set of assessment assets of a first learning object of learning objects to produce a first assessment illustrative model. The fundamental illustrative model is based on illustrative assets of a lesson that includes the learning objects. The method further includes obtaining a first assessment response for the first assessment illustrative model. When the first assessment response is favorable, the method further includes modifying the fundamental illustrative model to illustrate a second set of assessment assets of a second learning object of the learning objects to produce a second assessment illustrative model and obtaining a second assessment response for the second assessment illustrative model.

A method for assessing learning comprehension regarding a topic includes modifying a fundamental illustrative model to illustrate a first set of assessment assets of a first learning object of learning objects to produce a first assessment illustrative model. The fundamental illustrative model is based on illustrative assets of a lesson that includes the learning objects. The method further includes obtaining a first assessment response for the first assessment illustrative model. When the first assessment response is favorable, the method further includes modifying the fundamental illustrative model to illustrate a second set of assessment assets of a second learning object of the learning objects to produce a second assessment illustrative model and obtaining a second assessment response for the second assessment illustrative model.

An answer evaluation method that is executed by an answer evaluating system includes acquiring information of an answer that is an evaluation target corresponding to a question, and information of a comprehensive evaluation method, which is a method of determining a comprehensive evaluation of the answer based on an evaluation on the answer with respect to one evaluation item or each of two or more evaluation items for evaluating the answer represented by the information of the answer; and outputting information representing the comprehensive evaluation of the answer and acquired based on the answer represented by the acquired information of the answer and the comprehensive evaluation method represented by the acquired information of the comprehensive evaluation method.