A computer implemented system and method for providing dynamic examination preparation course content to users wherein a progressive content module in real time assigns difficulty values to questions according to previous users' answer and selects future questions for an individual user according to previous answers received from the user and pass prediction values assigned to the user.

A computer implemented system and method for providing dynamic examination preparation course content to users wherein a progressive content module in real time assigns difficulty values to questions according to previous users' answer and selects future questions for an individual user according to previous answers received from the user and pass prediction values assigned to the user.

The present invention solves difficulties in constructing a dialogue corpus, ensures the accuracy of a system utterance, and evaluates a user utterance in a dialogue technology for language learning and a knowledge-grounded dialogue technology, in which a system and method is capable of helping a learner in language learning by constructing a language learning dialogue corpus using passages and exercises commonly used in language education and learning sites, training a dialogue model and a dialogue evaluation model with the language learning dialogue corpus, and allowing a user and a system to have a dialogue on the basis of a given passage. It is expected that it will be possible to implement a dialogue system for language learning that is capable of performing evaluation and easily expanding a domain (expansion of learning content).

The present invention solves difficulties in constructing a dialogue corpus, ensures the accuracy of a system utterance, and evaluates a user utterance in a dialogue technology for language learning and a knowledge-grounded dialogue technology, in which a system and method is capable of helping a learner in language learning by constructing a language learning dialogue corpus using passages and exercises commonly used in language education and learning sites, training a dialogue model and a dialogue evaluation model with the language learning dialogue corpus, and allowing a user and a system to have a dialogue on the basis of a given passage. It is expected that it will be possible to implement a dialogue system for language learning that is capable of performing evaluation and easily expanding a domain (expansion of learning content).

The present invention relates to a method for displaying learning content of a terminal and an application program therefor. The method for displaying learning content of a terminal of the present invention comprises the steps of: displaying text with a group of questions on a first layer; displaying a first question card corresponding to a first question on a second layer; and when a continuous touch gesture in a touch input is received in the second layer, displaying, on the second layer, a second question card corresponding to a second question according to the touch gesture, wherein the question card includes one or more examples that are selectable by a learner. According to the present invention, it is possible to effectively display learning content including a large amount of information such as multiple choice questions on a limited size screen.

The present invention relates to a method for displaying learning content of a terminal and an application program therefor. The method for displaying learning content of a terminal of the present invention comprises the steps of: displaying text with a group of questions on a first layer; displaying a first question card corresponding to a first question on a second layer; and when a continuous touch gesture in a touch input is received in the second layer, displaying, on the second layer, a second question card corresponding to a second question according to the touch gesture, wherein the question card includes one or more examples that are selectable by a learner. According to the present invention, it is possible to effectively display learning content including a large amount of information such as multiple choice questions on a limited size screen.

Learning systems and methods of the present disclosure include generating a text document based on a digital file, tokenizing the text document, generating a semantic model based on the tokenized text document using an unsupervised machine learning algorithm, assigning a plurality of passage scores to a corresponding plurality of passages of the tokenized text document, selecting one or more candidate knowledge items from the tokenized text document based on the plurality of passage scores, filtering the one or more candidate knowledge items based on user data, generating one or more structured learning assets based on the one or more filtered candidate knowledge items, generating an interaction based at least on the one or more structured learning assets, and transmitting the interaction to a user device. Each passage score is assigned based on a relationship between a corresponding passage and the semantic model.

Learning systems and methods of the present disclosure include generating a text document based on a digital file, tokenizing the text document, generating a semantic model based on the tokenized text document using an unsupervised machine learning algorithm, assigning a plurality of passage scores to a corresponding plurality of passages of the tokenized text document, selecting one or more candidate knowledge items from the tokenized text document based on the plurality of passage scores, filtering the one or more candidate knowledge items based on user data, generating one or more structured learning assets based on the one or more filtered candidate knowledge items, generating an interaction based at least on the one or more structured learning assets, and transmitting the interaction to a user device. Each passage score is assigned based on a relationship between a corresponding passage and the semantic model.

Systems and methods of the present invention provide for: storing a plurality of content plugins; generating a graphical user interface (GUI) including components for: selecting a subset of plugins, defining a relationship between the plugins in the subset, and defining a custom pathway through the subset, including rules or conditions for navigation; receiving, from the content creator client device, selection of the subset, the relationship, and the rule or condition; generating, from the subset, relationship, and rule or condition; and transmitting to client devices for display, a learning course content for a learning application.

Disclosed herein are methods and systems for user-interface-assisted composition construction. In an embodiment, a plurality of input fields, each having an argument-element type, is presented via a client-side user interface, initially arranged according to a predefined sequence. Textual inputs are received via the input fields, and corresponding argument-building-block elements are responsively presented via the client-side user interface according to a current arrangement on the client-side user interface of the input fields. Each presented argument-building-block element has the same argument-element type and the received textual input of the corresponding user-interface input field. Argument-building selections of one or more of the presented argument-building-block elements are received via the client-side user interface, and a composition is responsively generated in a displayed text editor at least in part by populating the textual inputs into the displayed text editor according to the received argument-building selections. The generated composition is submitted for evaluation.