assessment-builder

Build assessments using learning objectives and Bloom's taxonomy to ensure 60%+ of questions target higher-order thinking (analysis, synthesis, evaluation) rather than memorization. This Skill guides you through question design, rubric creation, and cognitive distribution validation to produce rigorous, diagnostically useful evaluations.

Use a mix of multiple-choice, code-writing, debugging, code-tracing, and project-based prompts aligned to specific learning objectives. This Skill helps you design diagnostic distractors for MCQs and rubrics for open-ended items, ensuring each question type targets the appropriate cognitive level.

Map each question to a specific learning objective and Bloom's taxonomy level before writing. This Skill structures the process by requiring you to define success criteria upfront, then generate questions with explicit mappings and evaluation rubrics that validate alignment and fairness.

Yes. This Skill generates analytic rubrics for open-ended code-writing and project prompts, defining clear criteria and performance levels. It supports rubric-driven assessment workflows where evaluation mappings connect questions to measurable outcomes.

Diagnostic distractors reveal misconceptions rather than penalizing guessing. This Skill designs MCQs with distractors that target common errors in Python concepts, helping you identify gaps in student understanding and refine instruction.

No. This Skill provides evals-first planning guidance that walks you through defining learning objectives, selecting question types, and validating cognitive balance. It is designed for educators new to structured assessment design as well as experienced practitioners.