assessment-builder

What problem does it solve?

Designing effective assessments that truly measure understanding, rather than just recall, is challenging. This Skill helps educators create varied question types, align them with learning objectives and Bloom's taxonomy, and develop meaningful distractors and rubrics, ensuring a comprehensive and fair evaluation.

Core Features & Use Cases

• Question Generation: Create diverse question types including MCQs, code-completion, debugging challenges, and project-based assessments.
• Bloom's Alignment: Ensure questions target appropriate cognitive levels (e.g., 60%+ non-recall) for deep understanding.
• Diagnostic Distractors: Design MCQ options based on common student misconceptions to provide diagnostic insights.
• Rubric Creation: Generate detailed rubrics for open-ended questions, ensuring clear grading criteria.
• Use Case: A university professor needs to create a final exam for an intermediate Python course. This Skill can help them generate a balanced mix of questions, including a debugging challenge and a small coding project, complete with rubrics and an answer key.

Quick Start

Generate a 5-question formative assessment for Python loops (beginner level), including 2 MCQs with distractor analysis, 2 code-completion, and 1 code-writing question with a rubric.