System

A system comprising:

• circuitry configured to:
• receive, via a communication interface coupled to a packet-switched network, natural language input data from a terminal device operated by a user;
• apply tokenization and sentence boundary detection to the natural language input data to produce structured text data, generate structured prompt sentences encoding the structured text data with task-specific instruction prefixes, and obtain structured objective data comprising a user objective, associated skill categories, and a proficiency level from responses of a transformer-based generative neural network model;
• normalize the structured objective data by mapping a target field to a standardized category and a skill indicator to a standardized skill category from a classification data set, and store user profile data in a storage device;
• search a content data set for content candidates matching the standardized category and the standardized skill category, generate further prompt sentences encoding content candidate metadata and the user profile data, and obtain a ranked list of content identifiers with ordering information from the generative neural network model, and assemble the ranked list into path data;
• transmit the path data to the terminal device via the communication interface;
• and
• receive progress event data comprising at least one of viewing, start, completion, or evaluation events, generate update prompt sentences combining the progress event data and the user profile data, and dynamically update the path data based on proposal data from the generative neural network model.

A method comprising:

• receiving, via a communication interface coupled to a packet-switched network, natural language input data from a terminal device operated by a user;
• converting the natural language input data into structured text data, generating structured prompt sentences from the structured text data, and obtaining structured objective data comprising at least a user objective and associated skill categories from responses of a generative neural network model;
• normalizing the structured objective data by selecting at least one standardized category and at least one standardized skill category from a classification data set stored in a storage device, and storing resulting user profile data in the storage device;
• searching a content data set for content candidates based on the user profile data, generating further prompt sentences from metadata of the content candidates, obtaining selection and ordering information from the generative neural network model, and generating path data for the user based on the selection and ordering information;
• transmitting the path data to the terminal device via the communication interface;
• and
• receiving progress event data from the terminal device, generating update prompt sentences from the progress event data and the user profile data, and dynamically updating the path data based on proposal data obtained from responses of the generative neural network model.