A method for providing a correctness/incorrectness prediction for a learning question is provided. The method includes the steps of: acquiring a set of data including a user variable determined on the basis of concept-specific correctness/incorrectness sequence data of at least one user, and at least one variable related to a question and a concept associated with the user variable; and calculating a probability that a first user corresponding to a specific user variable correctly answers a first question corresponding to a specific concept, with reference to the data set.

A method for providing a correctness/incorrectness prediction for a learning question is provided. The method includes the steps of: acquiring a set of data including a user variable determined on the basis of concept-specific correctness/incorrectness sequence data of at least one user, and at least one variable related to a question and a concept associated with the user variable; and calculating a probability that a first user corresponding to a specific user variable correctly answers a first question corresponding to a specific concept, with reference to the data set.

The present specification discloses a system comprising one or more surface(s) that are comprised of one or more stated positive affirmation(s) and one or more designated area(s) for user to freehand write or type stated positive affirmation(s), and an associated method comprising the step of writing freehand or typing stated positive affirmation(s) in designated area(s) on one or more surface(s).

The present specification discloses a system comprising one or more surface(s) that are comprised of one or more stated positive affirmation(s) and one or more designated area(s) for user to freehand write or type stated positive affirmation(s), and an associated method comprising the step of writing freehand or typing stated positive affirmation(s) in designated area(s) on one or more surface(s).

An evaluation information output apparatus outputs, based on a nodding action of one or more persons, evaluation information on the nodding action. The evaluation information output apparatus includes a first information acquisition unit and an output unit. The first information acquisition unit acquires information about the nodding action. The output unit includes a learned model that receives the information about the nodding action as input and outputs the evaluation information on the nodding action and uses the learned model to estimate and output the evaluation information on the nodding action from the information about the nodding action. The learned model is obtained by learning the information about the nodding action and the evaluation information on the nodding action as a learning data set.

An evaluation information output apparatus outputs, based on a nodding action of one or more persons, evaluation information on the nodding action. The evaluation information output apparatus includes a first information acquisition unit and an output unit. The first information acquisition unit acquires information about the nodding action. The output unit includes a learned model that receives the information about the nodding action as input and outputs the evaluation information on the nodding action and uses the learned model to estimate and output the evaluation information on the nodding action from the information about the nodding action. The learned model is obtained by learning the information about the nodding action and the evaluation information on the nodding action as a learning data set.

Systems and methods for augmented-reality tutoring can utilize optical character recognition, natural language processing, and/or augmented-reality rendering for providing real-time notifications for completing a determined task. The systems and methods can include utilizing one or more machine-learned models trained for quantitative reasoning and can include providing a plurality of different user interface elements at different times.

Methods of using a tool for improving language skills comprising selecting a language concept and then a word associated with the language concept; asking the patient to answer a question related to the language concept about the first word; scoring the patient's response to the based upon at least one or more of the following: the number of words given, the number of prompts the patient needed to be provided in order to illicit the first response, the amount of time the patient needed to produce the first response; and then moving the word to a first location, that physically represents to the patient the first word score they achieved.

Further aspects involve calculating a total therapeutic session score by totaling up all the individual word scores from the therapeutic session and producing a therapeutic session report. As well as comparing results across sessions.

Methods of using a tool for improving language skills comprising selecting a language concept and then a word associated with the language concept; asking the patient to answer a question related to the language concept about the first word; scoring the patient's response to the based upon at least one or more of the following: the number of words given, the number of prompts the patient needed to be provided in order to illicit the first response, the amount of time the patient needed to produce the first response; and then moving the word to a first location, that physically represents to the patient the first word score they achieved.

Further aspects involve calculating a total therapeutic session score by totaling up all the individual word scores from the therapeutic session and producing a therapeutic session report. As well as comparing results across sessions.

An answer evaluation system has an answer tablet, having a plurality of holes forming a grid, wherein a colored translucent bead is insertable into hole. The answer tablet is received by an enclosure. The enclosure is adapted to direct light from a light sourced positioned below the answer tablet to the camera of a device. Further, the answer evaluation system processes images of the answer tablet to evaluate and score a corresponding test.