[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.

Disclosed are systems and methods for building exams including accessing an exam question stem from a database, the exam question stem having a modifiable portion and an unmodifiable portion. Displaying the exam question stem on a display device an accepting input from a user, the input changing the modifiable portion of the exam question stem. Saving the modified exam question stem as a new exam question as part of a new exam. Because the unmodifiable portion contains the necessary language that establishes the exam question stem as genuinely compatible with the standards assigned to the stem, the new exam question is ensured to be compliant with a desired standard.

Disclosed are systems and methods for building exams including accessing an exam question stem from a database, the exam question stem having a modifiable portion and an unmodifiable portion. Displaying the exam question stem on a display device an accepting input from a user, the input changing the modifiable portion of the exam question stem. Saving the modified exam question stem as a new exam question as part of a new exam. Because the unmodifiable portion contains the necessary language that establishes the exam question stem as genuinely compatible with the standards assigned to the stem, the new exam question is ensured to be compliant with a desired standard.

A data collection, display, and report generation platform has a first input interface configured to present a learning module comprising a series of questions and answers on a plurality of successive question/answer screens comprising a plurality of radio buttons, at least one of the radio buttons configured to accept both a first input action and a subsequent second input action, each providing a different visual indication. The first and second input action each indicate a different confidence level of a learner's answer. A display dashboard displays a plurality of data visualizations of metrics of misinformation and struggle of plurality of learners based on a plurality of answers collected through the first input interface, and comprises one or more bar graph displays, one or more heat map displays, and one or more sorting tools configured to alter the one or more bar graph displays or one or more heat map displays.

A data collection, display, and report generation platform has a first input interface configured to present a learning module comprising a series of questions and answers on a plurality of successive question/answer screens comprising a plurality of radio buttons, at least one of the radio buttons configured to accept both a first input action and a subsequent second input action, each providing a different visual indication. The first and second input action each indicate a different confidence level of a learner's answer. A display dashboard displays a plurality of data visualizations of metrics of misinformation and struggle of plurality of learners based on a plurality of answers collected through the first input interface, and comprises one or more bar graph displays, one or more heat map displays, and one or more sorting tools configured to alter the one or more bar graph displays or one or more heat map displays.

A method and system for analysing behaviour of a plurality of users for recommending a change in at least one behavioural attribute to at least one of the plurality of users for changing at least one effect of the behavioural attribute along with an estimated improvement in performance is disclosed. The method comprises, analysing activity data of the plurality of users and a context of the activity for determining one or more behavioural attributes of each of the plurality of users, assigning a value to each behavioural attribute of each of the plurality of users, determining a percentile score for each users for each of the one or more behavioural attributes and recommending, to at least one user, a change in at least one behavioural attribute and a magnitude of change and a direction of change, based on the percentile score correlated with better performance.

A method and system for analysing behaviour of a plurality of users for recommending a change in at least one behavioural attribute to at least one of the plurality of users for changing at least one effect of the behavioural attribute along with an estimated improvement in performance is disclosed. The method comprises, analysing activity data of the plurality of users and a context of the activity for determining one or more behavioural attributes of each of the plurality of users, assigning a value to each behavioural attribute of each of the plurality of users, determining a percentile score for each users for each of the one or more behavioural attributes and recommending, to at least one user, a change in at least one behavioural attribute and a magnitude of change and a direction of change, based on the percentile score correlated with better performance.

A non-transitory computer-readable recording medium stores a question collection creating program for causing a computer to execute a process including: determining a criterion based on a difference between a correct answer rate of at least one machine learning model for a plurality of questions and a correct answer rate of a learner for the plurality of questions; selecting, from among the plurality of questions, one or a plurality of questions with which the correct answer rate of the at least one machine learning model becomes a value that corresponds to the criterion; and outputting the one or the plurality of selected questions as a question collection for the learner.

A non-transitory computer-readable recording medium stores a question collection creating program for causing a computer to execute a process including: determining a criterion based on a difference between a correct answer rate of at least one machine learning model for a plurality of questions and a correct answer rate of a learner for the plurality of questions; selecting, from among the plurality of questions, one or a plurality of questions with which the correct answer rate of the at least one machine learning model becomes a value that corresponds to the criterion; and outputting the one or the plurality of selected questions as a question collection for the learner.

In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for engaging in interactive sessions between computerized devices and participants. The method includes receiving user input that interacts with user controls to specify, for each respective content item in a plurality of content items, a text spelling and an audio recording. The method includes receiving user input that selects a set of user-selected content items from among the plurality of content items for inclusion as part of the first interactive exercise, and assigns an order to the user-selected content items. The computing system presents the selected content items in the user-selected order, receives user input that inputs the respective content items, and determines whether the user input matches the content item.