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US 2026/0290191 A1Published application
System
AssigneeSoftBank Group Corp.
InventorTao JIANG
Life of this patent
Estimating the term…
Abstract
A system includes a processor configured to: retrieve related questions from a database based on user-selected learning information and select questions of varying difficulty; receive user answers, evaluate them against an evaluation criterion, and quantify the user's degree of understanding; generate a prompt sentence based on the quantified understanding and input it into a generative AI model to propose a learning plan; monitor learning progress and generate notifications to provide support or request instructor intervention when necessary; retrieve questions related to the selected learning information, apply a filtering algorithm, and select questions appropriate for the user's learning level; and generate a prompt sentence for producing new questions and input it into the generative AI model.
Claims20
A system comprising:
- circuitry configured to:
- receive, via a packet-switched network from a terminal, selection data indicating a target information domain, and execute a search process on a set of task records stored in a storage to retrieve task records associated with the target information domain and select task records having a plurality of difficulty attribute values;
- transmit the selected task records as data packets via the packet-switched network to the terminal, receive answer data from the terminal, evaluate the answer data against evaluation criterion data associated with each task record, and compute a comprehension index representing a quantified assessment result for a user;
- generate, based on the comprehension index and usage history data, a prompt sequence expressed as a natural-language instruction specifying content parameters for a generative model, and transmit the prompt sequence as data packets via the packet-switched network to a generative model node;
- receive response data from the generative model node, structure the response data into a predetermined data format, and store the structured response data in association with the comprehension index in the storage;
- compute a progress metric based on the comprehension index, the usage history data, and the answer data, and, when the progress metric satisfies a predetermined condition, generate notification data and transmit the notification data as data packets via the packet-switched network to at least one destination terminal;
- and
- execute a filtering algorithm on the set of task records based on the comprehension index and the progress metric to select task records adapted to a current assessment level, generate a further prompt sequence specifying output format constraints and difficulty conditions, and transmit the further prompt sequence to the generative model node to cause generation of new task record data.
5 more elements
A system comprising:
- circuitry configured to:
- receive selection data indicating a target information domain from a terminal via a packet-switched network;
- execute a search process on task records in a storage based on the selection data and select task records having a plurality of difficulty attribute values;
- receive answer data from the terminal, evaluate the answer data, and compute a comprehension index;
- generate a prompt sequence based on the comprehension index and transmit the prompt sequence to a generative model node via the packet-switched network;
- receive response data from the generative model node and store structured response data in the storage;
- compute a progress metric and generate notification data when the progress metric satisfies a predetermined condition;
- and
- execute a filtering algorithm to select task records adapted to a current assessment level and generate a further prompt sequence to cause the generative model node to generate new task record data.
6 more elements
A method performed by circuitry, the method comprising:
- receiving, via a packet-switched network from a terminal, selection data indicating a target information domain, and executing a search process on a set of task records stored in a storage to retrieve task records associated with the target information domain and select task records having a plurality of difficulty attribute values;
- transmitting the selected task records as data packets via the packet-switched network to the terminal, receiving answer data from the terminal, evaluating the answer data against evaluation criterion data associated with each task record, and computing a comprehension index representing a quantified assessment result for a user;
- generating, based on the comprehension index and usage history data, a prompt sequence expressed as a natural-language instruction specifying content parameters for a generative model, and transmitting the prompt sequence as data packets via the packet-switched network to a generative model node;
- receiving response data from the generative model node, structuring the response data into a predetermined data format, and storing the structured response data in association with the comprehension index in the storage;
- computing a progress metric based on the comprehension index, the usage history data, and the answer data, and, when the progress metric satisfies a predetermined condition, generating notification data and transmitting the notification data as data packets via the packet-switched network to at least one destination terminal;
- and
- executing a filtering algorithm on the set of task records based on the comprehension index and the progress metric to select task records adapted to a current assessment level, generating a further prompt sequence specifying output format constraints and difficulty conditions, and transmitting the further prompt sequence to the generative model node to cause generation of new task record data.
4 more elements
Dependencies are inferred from the claim text.