learning-objectives

Learning objectives aligned with Bloom's taxonomy map cognitive skills (remember, understand, apply, analyze, evaluate, create) to CEFR proficiency levels (A1–C2). This Skill generates measurable objectives by defining success criteria first, then structuring each objective with explicit prerequisites, testable outcomes, and CEFR mapping to ensure portability across curricula and clarity in assessment.

Evals-first design specifies what success looks like—measurable criteria and assessment methods—before writing objectives. Traditional approaches often reverse this order. This Skill applies evals-first discipline to produce auditable, criteria-driven objectives that align directly to assessment rubrics, reducing ambiguity in curriculum and lesson design.

Yes. CEFR mapping (A1–C2) ensures objectives are portable across international education systems and comparable across language learners. This Skill integrates CEFR alignment into objective generation, allowing curriculum planners and accreditation reviewers to produce standards-aligned objectives recognized globally.

This Skill incorporates three AI integration patterns into objective design: AI as Teacher (delivers instruction), AI as Student (learns from human feedback), and AI as Co-Worker (collaborates on tasks). Objectives explicitly reference these roles to clarify AI's function in the learning experience and set measurable outcomes for AI-co-learning scenarios.

Accreditation reviews require objectives with explicit prerequisites, success criteria, progressive Bloom's levels, and CEFR alignment. This Skill produces template-driven, auditable output that maps each objective to evaluative success measures, satisfying accreditation standards and enabling reviewers to verify alignment between course design, assessment, and stated learning outcomes.

Yes. Bloom's taxonomy and structured objective design apply across all subjects. This Skill generates measurable objectives for any domain—Python topics, STEM, professional skills—by mapping domain tasks to cognitive levels and defining testable success criteria, enabling consistent, auditable learning design across disciplines.