Learning taxonomies help bring order to the complexity of instructional goals. They offer structured ways to categorize what you’re asking learners to know or do—whether it’s recalling facts, solving problems, or demonstrating judgment. While not theories themselves, learning taxonomies are essential tools for planning, articulating, and assessing learning outcomes. This section covers the most widely used learning taxonomies in corporate L&D.
Compare six instructional taxonomies—Bloom’s, Gagné’s, SOLO, Krathwohl’s, RLAT, and CDT—to choose the best fit for corporate L&D needs.
Read moreExplore Bloom’s Taxonomy as a tool for classifying learning objectives and aligning instructional design with cognitive complexity.
Read moreFink's Taxonomy offers a holistic approach to designing impactful corporate L&D programs, integrating cognitive, emotional, and reflective learning.
Read moreGagné’s Taxonomy of Learning Outcomes categorizes learning goals into five types, providing a structured approach to effective training design.
Read moreKrathwohl’s Taxonomy helps L&D professionals design training that addresses emotional, attitudinal, and behavioral outcomes for deeper learner engagement.
Read moreThe Rapid Learning Analysis Taxonomy (RLAT) simplifies instructional design by categorizing six types of learning outcomes, each with tailored strategies and assessments.
Read moreSOLO Taxonomy helps L&D professionals assess and develop learning from basic recall to advanced synthesis, enhancing training design and outcomes.
Read moreThe Component Display Theory Taxonomy helps L&D professionals design focused, effective training by categorizing content and learning tasks.
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