Embodiments of present invention provide a system and method for electronic evaluation of candidates. The system provides a central server adapted to be communicably coupled to a plurality of client devices. Graders/evaluators may generate a gradation test that is stored on the central server or any other server communicably coupled thereto. The central servers makes available, to duly authenticated client devices, through exam-center servers, the gradation test over a secure channel, which may be answered by the candidates electronically. The answers of candidates, including answers written in their own handwriting using a tablet and stylus, are stored on the central server and made available to duly authenticated grader/evaluators for evaluation. The present invention enables evaluation to be carried out in a time-effective and cost-efficient manner with utmost security.

[Object] Provided is an information processing device that can dynamically determine point allocation of a question and provide a user with enjoyment of receiving a test.

[Solution] Provided is the information processing device including a control unit configured to determine point allocation of each question in a test on a basis of answer results of the test made by a plurality of users during a test time, calculate a score of a predetermined user on a basis of the point allocation in response to a request of the predetermined user, and generate information for disclosing the score of the predetermined user.

[Object] Provided is an information processing device that can dynamically determine point allocation of a question and provide a user with enjoyment of receiving a test.

[Solution] Provided is the information processing device including a control unit configured to determine point allocation of each question in a test on a basis of answer results of the test made by a plurality of users during a test time, calculate a score of a predetermined user on a basis of the point allocation in response to a request of the predetermined user, and generate information for disclosing the score of the predetermined user.

A computer system for monitoring progress of at least one learner through an experiential learning cycle, the computer system comprising: a computer server accessible through a communications network, the computer server arranged to receive event data through the communications network from a user computing device, the event data being generated by the at least one learner progressing through the experiential learning cycle; a memory for storing empirical data indicative of the experiential learning cycle and event data received at the computer server through the communications network; and a processor configured to process the received event data and comparing the processed event data with the empirical data to determine the progress of the at least one learner through the experiential learning cycle.

A computer system for monitoring progress of at least one learner through an experiential learning cycle, the computer system comprising: a computer server accessible through a communications network, the computer server arranged to receive event data through the communications network from a user computing device, the event data being generated by the at least one learner progressing through the experiential learning cycle; a memory for storing empirical data indicative of the experiential learning cycle and event data received at the computer server through the communications network; and a processor configured to process the received event data and comparing the processed event data with the empirical data to determine the progress of the at least one learner through the experiential learning cycle.

Techniques described herein provide intelligent context-based testing. One or more implementations receive an image that includes content. In turn, some implementations process the image to extract test information from the content, such as questions, answers, learning material, and so forth. By analyzing the test information, various implementations determine one or more characteristics associated with the test information, and dynamically generate new test information based on the determined one or more characteristics. As one example, some implementations obtain new content by searching for content that includes the one or more characteristics and generate new test information based on the new content and the extracted test information.

Techniques described herein provide intelligent context-based testing. One or more implementations receive an image that includes content. In turn, some implementations process the image to extract test information from the content, such as questions, answers, learning material, and so forth. By analyzing the test information, various implementations determine one or more characteristics associated with the test information, and dynamically generate new test information based on the determined one or more characteristics. As one example, some implementations obtain new content by searching for content that includes the one or more characteristics and generate new test information based on the new content and the extracted test information.

Disclosed herein are system and method for generative assessment item development, encoding & analysis, wherein the generative assessment item includes a question and a plurality of possible responses to the question, the plurality of possible responses comprising at least two responses that are not independent, and wherein the plurality of responses are non-dichotomous.

An education and/or training system comprises a user interface configured to (a) present a lesson to a user, and (b) detect a first user characteristic of the user; a user performance analysis engine coupled to the user interface and configured to obtain, from the user interface, an indication the first user characteristic; an adaptation engine coupled to and configured to receive inputs from the user performance analysis engine; and a lesson presentation engine coupled to the adaptation engine and to the user interface and configured to receive inputs from the adaptation engine, provide inputs to the user performance analysis engine, and provide information to the user interface to enable the user interface to present the lesson to the user.

An education and/or training system comprises a user interface configured to (a) present a lesson to a user, and (b) detect a first user characteristic of the user; a user performance analysis engine coupled to the user interface and configured to obtain, from the user interface, an indication the first user characteristic; an adaptation engine coupled to and configured to receive inputs from the user performance analysis engine; and a lesson presentation engine coupled to the adaptation engine and to the user interface and configured to receive inputs from the adaptation engine, provide inputs to the user performance analysis engine, and provide information to the user interface to enable the user interface to present the lesson to the user.