Rubric engine(s) for generation of assessment frameworks

A method for generating a rubric using a rubric engine operatively coupled to a generative artificial intelligence (GAI) model, the method comprising:

• receiving, from a client device via a graphical user interface (GUI), an indication to generate the rubric for an assignment;
• determining, by the rubric engine, an assignment type for the assignment;
• determining, by the rubric engine, one or more evaluation criteria for the rubric based on the assignment type;
• determining, by the rubric engine, a rubric scale for the rubric;
• determining, by the rubric engine, audience context for the assignment;
• generating, by the rubric engine, the rubric for the assignment based on the evaluation criteria and the audience context for the assignment, wherein:
• the rubric comprises one or more assessments for each of the one or more evaluation criteria across the rubric scale;
• the one or more assessments are modifiable by a user via the GUI on the client device;
• and
• generating the rubric for the assignment comprises:
• generating, by the rubric engine, a request prompt for the rubric, wherein the request prompt is configured to elicit a response from the GAI model and comprises the assignment type, the one or more evaluation criteria, the rubric scale, and the audience context;
• and
• submitting, by the rubric engine, the request prompt to the GAI model which generates the rubric responsive to receiving the request prompt;
• displaying, via the GUI on the client device, the rubric in a structured format that adjusts based on the one or more evaluation criteria, the rubric scale, and the one or more assessments;
• and
• associating, by the rubric engine, the rubric with the assignment and a corresponding version history of the rubric.

A computer readable storage media comprising processor-executable instructions configured to cause one or more processors to:

• receive, from a client device via a graphical user interface (GUI), an indication to generate a rubric for an assignment;
• determine, by a rubric engine operatively coupled to a generative artificial intelligence (GAI) model, an assignment type for the assignment;
• determine, by the rubric engine, one or more evaluation criteria for the rubric based on the assignment type;
• determine, by the rubric engine, a rubric scale for the rubric;
• determine, by the rubric engine, audience context for the assignment;
• generate, by the rubric engine, the rubric for the assignment based on the one or more evaluation criteria and the audience context for the assignment, wherein:
• the rubric comprises one or more assessments for each of the one or more evaluation criteria across the rubric scale;
• the one or more assessments are modifiable by a user via the GUI on the client device;
• and
• generating the rubric for the assignment comprises:
• generating, by the rubric engine, a request prompt for the rubric, wherein the request prompt is configured to elicit a response from the GAI model and comprises the assignment type, the one or more evaluation criteria, the rubric scale, and the audience context;
• and
• submitting, by the rubric engine, the request prompt to the GAI model which generates the rubric responsive to receiving the request prompt;
• display, via the GUI on the client device, the rubric in a structured format that adjusts based on the one or more evaluation criteria, the rubric scale, and the one or more assessments;
• and
• associate, by the rubric engine, the rubric with the assignment and a corresponding version history of the rubric.