Textual indicators are extracted from an electronic document. A rule for monitoring information technology user behavior is generated from the extracted textual indicators.

A visual approach-based aptitude testing method executed by a computer includes receiving test data including positions and a number of icons which are selected and applied by an examinee to a check sheet and an examinee's ID, where the check sheet includes a plurality of areas formed by boundary elements and which include graphic figures having no inherent meaning. The computer counts up a total number of the icons in the test data, discriminates whether or not an arrangement of the icons in the data satisfies definitions in tables stored by the computer, and stores results obtained from the discrimination to be used for evaluation of the examinee's aptitude based on the total number of the icons and the arrangement of the icons.

A visual approach-based aptitude testing method executed by a computer includes receiving test data including positions and a number of icons which are selected and applied by an examinee to a check sheet and an examinee's ID, where the check sheet includes a plurality of areas formed by boundary elements and which include graphic figures having no inherent meaning. The computer counts up a total number of the icons in the test data, discriminates whether or not an arrangement of the icons in the data satisfies definitions in tables stored by the computer, and stores results obtained from the discrimination to be used for evaluation of the examinee's aptitude based on the total number of the icons and the arrangement of the icons.

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.

A visual approach-based aptitude testing system includes a computer connected to an examinee's terminal through a communication network. The computer provides, to the examinee's terminal, a check sheet in which a plurality of areas are formed by boundary elements and which includes graphic figures each having no inherent meaning, and a plurality of icons applicable to the check sheet. The computer sequentially stores test data including icons applied by the examinee to the check sheet and an examinee's ID transmitted from the terminal, and sequentially reads out the test data and the examinee's ID to count a total number of the icons. The computer executes discrimination of whether the arrangement of the icons in the read-out test data falls under definitions in tables stored by the computer. Results of the discrimination are stored in the computer and used for evaluation of the examinee's aptitude.

A visual approach-based aptitude testing system includes a computer connected to an examinee's terminal through a communication network. The computer provides, to the examinee's terminal, a check sheet in which a plurality of areas are formed by boundary elements and which includes graphic figures each having no inherent meaning, and a plurality of icons applicable to the check sheet. The computer sequentially stores test data including icons applied by the examinee to the check sheet and an examinee's ID transmitted from the terminal, and sequentially reads out the test data and the examinee's ID to count a total number of the icons. The computer executes discrimination of whether the arrangement of the icons in the read-out test data falls under definitions in tables stored by the computer. Results of the discrimination are stored in the computer and used for evaluation of the examinee's aptitude.

Systems and methods for of automated gamification are disclosed. An example method of automated gamification is disclosed. The method includes transcribing content of a proceeding. The method includes determining one or more keywords from the content transcribed, the one or more keywords indicating a topic of the proceeding. Additionally, the method includes generating a game for the proceeding based on the one or more keywords using Natural Language Processing (NLP). The method also includes presenting the game for the proceeding to at least one participant of the proceeding and receiving a response to the game from the at least one participant of the proceeding. Additionally, the method includes allowing the at least one participant of the proceeding to move to a next objective, based on evaluating the response received based on an established criterion.

Systems and methods for of automated gamification are disclosed. An example method of automated gamification is disclosed. The method includes transcribing content of a proceeding. The method includes determining one or more keywords from the content transcribed, the one or more keywords indicating a topic of the proceeding. Additionally, the method includes generating a game for the proceeding based on the one or more keywords using Natural Language Processing (NLP). The method also includes presenting the game for the proceeding to at least one participant of the proceeding and receiving a response to the game from the at least one participant of the proceeding. Additionally, the method includes allowing the at least one participant of the proceeding to move to a next objective, based on evaluating the response received based on an established criterion.

Systems and methods of the present invention provide for estimating latent ability of responders to a digital assessment in the form of ability scores and estimating item parameters an assessment item of the digital assessment including difficulty scores and discrimination scores. Maximum likelihood estimation may be performed based on an item response theory model to estimate the item parameters. Supervisory, extraction, and worker modules of a workflow manager module may initiate general purpose graphics processing unit instances and cause these instances to perform the maximum likelihood estimation calculations. The item response theory model may be a two parameter model that is modified to account for changes in difficulty caused by the use of hints.