assessment-gen

Generate a balanced question bank by defining YAML patterns for MCQs and coding questions, specifying stems, options, starter code, and test cases to ensure diverse assessment items across topics and difficulty levels.

Create evaluation rubrics for coding assessments using standardized rubric guidance integrated into coding question patterns, defining scoring criteria and distribution to ensure fair and consistent grading.

Map quiz questions to Bloom taxonomy levels by defining the Bloom level within the MCQ pattern, aligning each question stem and objective with the desired cognitive difficulty for consistent evaluation.

Structure starter code and test cases for programming assessments using predefined coding question patterns in YAML, which integrate prompts and rubric definitions to standardize automated grading.

YAML patterns are required to generate assessment items and rubrics, providing the structured definitions needed for MCQ stems, coding prompts, test cases, and scoring criteria to maintain consistency.

Generate a mixed assessment set for introductory programming courses by specifying a topic to produce a combined bank of MCQs and coding tasks, each with integrated rubrics and balanced difficulty levels.