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.

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 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 computer-implemented method and related systems are disclosed. The method includes receiving records related to transfers for accounts. The transfers correspond to categories. A net outflow from the accounts for a period for a particular category is identified based on the transfers corresponding to the particular category. If it is determined that an amount of the net outflow exceeds an expected outflow for the period for the particular category, a multiple-choice quiz question and a corresponding set of possible responses including a correct response corresponding to the particular category and one or more distractor responses not corresponding to the particular category is generated. The multiple-choice quiz question and the corresponding set of possible responses are presented. Example manners of presenting the multiple-choice quiz question and the corresponding set of possible responses are also disclosed.

A computer-implemented method and related systems are disclosed. The method includes receiving records related to transfers for accounts. The transfers correspond to categories. A net outflow from the accounts for a period for a particular category is identified based on the transfers corresponding to the particular category. If it is determined that an amount of the net outflow exceeds an expected outflow for the period for the particular category, a multiple-choice quiz question and a corresponding set of possible responses including a correct response corresponding to the particular category and one or more distractor responses not corresponding to the particular category is generated. The multiple-choice quiz question and the corresponding set of possible responses are presented. Example manners of presenting the multiple-choice quiz question and the corresponding set of possible responses are also disclosed.

A computer-implemented method and related systems are disclosed. The method includes receiving records related to transfers for accounts. The transfers correspond to categories. Typical amounts of transfers corresponding to a particular category are identified. Based on the typical amounts of the transfers, units for the category are defined. A net outflow from accounts for the particular category for a portion of a defined period is identified based on the transfers corresponding to the particular category of transfers. The net outflow for the defined period is compared to an expected outflow for the entirety of the defined period for the particular category to determine a remaining expected outflow for the particular category for a remaining portion of the defined period. An indication is provided expressing the remaining expected outflow for the particular category using the units for the category. Example manners of providing the indication are also disclosed.

A computer-implemented method and related systems are disclosed. The method includes receiving records related to transfers for accounts. The transfers correspond to categories. Typical amounts of transfers corresponding to a particular category are identified. Based on the typical amounts of the transfers, units for the category are defined. A net outflow from accounts for the particular category for a portion of a defined period is identified based on the transfers corresponding to the particular category of transfers. The net outflow for the defined period is compared to an expected outflow for the entirety of the defined period for the particular category to determine a remaining expected outflow for the particular category for a remaining portion of the defined period. An indication is provided expressing the remaining expected outflow for the particular category using the units for the category. Example manners of providing the indication are also disclosed.

[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.