Generation and validation of multiple choice questions (mcqs) aligned with educational standards using integrated programmatic and specialized guided and constrained artificial intelligence

A system for guiding a multiagent AI engine to generate and validate one or more multiple-choice questions (MCQs) aligned with educational standards, the system comprises:

• one or more processors of a computer system;
• memory, coupled to the one or more processors, that stores code and execution of the code by the one or more processors causes the computer system to perform operations comprising:
• providing access to a data model including educational standards, wherein the data model includes granular details related to the standards and sub-standards for generating multiple-choice questions (MCQs);
• generating prompts to guide the multiagent AI engine in generating the multiple-choice questions (MCQs), wherein the prompts include one or more inputs received from the data model;
• transferring the prompts to the multiagent AI engine configured to perform one or more operations comprising:
• generating a first draft of at least one multiple choice question (MCQ), via a generator assistant, based on the inputs received from the data model;
• validating the generated multiple choice question (MCQ) for correctness and alignment with the educational standards, wherein the question failing validation step is regenerated by the generator assistant for one or more pre-defined cycles;
• pre-processing the validated multiple choice question (MCQs) for completeness, formatting, and context-related modifications;
• performing one or more additional validation checks on the multiple choice question (MCQ) for identification of any issues, wherein the additional validation checks ensure the question's validity and alignment with educational standards, and the MCQ is discarded if it fails on at least one of the additional checks.