Computer system and method for automated generation of instructional sequences

A computer system comprising one or more processors and one or more memories storing machine-executable instructions thereon which, when executed by the one or more processors, cause the computer system to perform a set of processing operations to generate one or more examination questions, the processing operations including:

• receiving instructional source materials;
• parsing the instructional source materials to extract content segments;
• constructing constrained prompts comprising pre-approved summaries and topic-specific metadata based on the content segments and applying tag constraints, wherein the constrained prompts are constructed by populating a prompt template that restricts free-form instructions and admits tag-based approved summaries;
• obtaining, responsive to the constrained prompts, remediation outputs comprising at least summaries and candidate question-and-answer (Q&A) records generated under the tag constraints;
• presenting the summaries and candidate Q&A records for approval by transmitting the summaries and the candidate Q&A records to a user interface for edit and approval before migration from a staging schema into an approved repository;
• generating, upon approval and based on the tag constraints that bind a question step to a nearest preceding summary, a remediation plan having step metadata referencing the approved Q&A records;
• and
• transmitting the remediation plan and associated content to a user device.