Four learning taxonomies, side by side.
Each frames "what to learn" differently. Use Bloom for verb-level objectives, Fink for course-wide balance, Marzano for motivation & metacognition, and SOLO for rubric depth.
Bloom's Revised
Cognitive complexity as the organizing principle.
- Philosophy
- Every objective is the intersection of a cognitive process (Remember → Create) and a knowledge type (Factual, Conceptual, Procedural, Metacognitive).
- Best for
- Writing measurable, verb-anchored outcomes and aligning them across course, lesson, and assessment levels.
- Risk
- Cumulative-hierarchy assumption is empirically shaky; under-models collaboration, dispositions, and motivation.
Fink
Learning that lasts and changes the learner.
- Philosophy
- Six non-hierarchical, mutually-reinforcing categories. A 'significant' course balances cognitive, affective, and self-regulatory learning.
- Best for
- Course-wide design: ensuring breadth across foundational knowledge, application, integration, human dimension, caring, and learning how to learn.
- Risk
- Less prescriptive about verbs and sequence; categories like Caring can be hard to write as measurable outcomes.
Marzano
Thinking is governed by motivation and self-regulation, not just cognition.
- Philosophy
- Three control systems — Self-System, Metacognitive, Cognitive — act on a Knowledge Domain. No significant cognition occurs unless the Self-System first engages.
- Best for
- Standards & curriculum design where motivation, self-regulation, and complex thinking must all be designable.
- Risk
- Conceptually rich but operationally demanding; the three-system architecture is harder to apply than a verb list.
SOLO
Depth, not coverage, is the right axis for assessment.
- Philosophy
- Five structural levels (Prestructural → Extended Abstract) describing how many elements a response integrates and how meaningfully they are connected.
- Best for
- Rubric and assessment design — diagnosing the structural quality of student responses, independent of content.
- Risk
- Says nothing about content domain, affect, or motivation; cannot, on its own, ensure curricular breadth.
Bloom's Revised — verbs by cognitive process
Cross with a knowledge type (Factual, Conceptual, Procedural, Metacognitive) for each objective.
Remember
Understand
Apply
Analyze
Evaluate
Create
Fink — six interactive categories
Foundational Knowledge
Core concepts, terms, facts.
"Identify the central concepts and historical cases that shape the debate."
Application
Skills, decisions, projects, thinking moves.
"Conduct a structured analysis of a real dataset."
Integration
Connect across ideas, disciplines, or life.
"Connect course principles to the student's home discipline."
Human Dimension
Learn about self and others.
"Articulate how professional identity shapes ethical posture."
Caring
Develop new feelings, interests, values.
"Express a personal commitment to one practice the student will adopt."
Learning How to Learn
Become a better, self-directed learner.
"Construct a personal watchlist to keep learning after the course."
Marzano — three systems acting on knowledge
Self-System
Importance, efficacy, emotional response — will the learner engage?
Metacognitive
Goal-setting, monitoring, strategy adjustment.
Knowledge Utilization
Investigation, problem-solving, experimentation, decision-making.
Analysis
Matching, classifying, error analysis, generalizing, specifying.
Comprehension
Integrating and symbolizing key ideas.
Retrieval
Recognizing, recalling, executing procedures.
SOLO — structural complexity of a response
Prestructural
Misses the point or is off-topic.
Unistructural
Identifies one relevant element.
Multistructural
Lists several elements but treats them as independent.
Relational
Integrates elements into a coherent whole.
Extended Abstract
Generalizes beyond the case; proposes new framing.
The AI lens — where generative AI fits each taxonomy
AI doesn't sit outside these frameworks — it changes what counts as a meaningful outcome inside each one. Toggle "Weave AI literacy into outcomes" in any AI draft dialog to apply the matching lens.
Bloom's Revised
AI shifts the verb — and the knowledge type.
- Lower levels (Remember/Understand) are increasingly automated; design objectives that move learners to Analyze/Evaluate/Create with AI as a tool.
- Treat 'prompt design', 'output critique', and 'verification of AI claims' as Procedural and Metacognitive knowledge to be explicitly taught.
- Pair every Create-level objective with an Evaluate-level objective about judging AI-generated artifacts.
Fink
AI belongs across multiple Fink categories, not just Application.
- Application: students apply AI tools to authentic disciplinary tasks.
- Integration: connect AI capabilities and limits to the discipline's epistemology.
- Human Dimension & Caring: identity, agency, and ethics of working with AI.
- Learning How to Learn: AI as a metacognitive partner — and the risks of outsourcing thinking.
Marzano
AI is mostly a Self-System and Metacognitive question.
- Self-System: importance and efficacy beliefs about using vs. resisting AI.
- Metacognitive: goal-setting and monitoring when an AI is in the loop — when to trust, when to verify.
- Knowledge Utilization: investigation and decision-making that uses AI as one source among many.
SOLO
AI use is itself a SOLO-rateable response.
- Unistructural: uses an AI output verbatim.
- Multistructural: lists multiple AI outputs without integrating them.
- Relational: integrates AI output with other sources into a coherent argument.
- Extended Abstract: critiques the AI's framing and proposes an alternative the AI did not suggest.