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For decades, Bloom’s Taxonomy has guided instructional design in classrooms worldwide. But what if there’s a more practical framework for understanding student learning progression in today’s digital environment?

The second installment of TCEA’s Mastery Series introduces educators to the SOLO Taxonomy (Structure of Observed Learning Outcome), a research-based alternative that provides clearer insights into how learning develops.

Unlike Bloom’s, which focuses on cognitive processes, SOLO examines the structural complexity of student understanding:

• Pre-structural: “I don’t know what I don’t know”
• Unistructural: Understanding one relevant aspect
• Multistructural: Understanding several relevant aspects, but as separate pieces
• Relational: Integrating parts into a coherent whole
• Extended Abstract: Generalizing to new domains

What makes SOLO particularly valuable in technology-rich classrooms is its ability to help teachers identify precisely where students are in their learning journey and select digital tools accordingly.

Research reveals that approximately 82% of classroom teaching remains at the surface learning level. With SOLO as a guide, educators can intentionally design technology-enhanced learning experiences that move students toward deeper understanding and transfer.

The series provides practical frameworks for integrating AI across different SOLO levels—from teacher-led AI use at pre-structural/unistructural levels to student-driven AI application at the extended abstract level.

As we navigate the complexities of AI in education, SOLO offers a structured approach to ensure technology serves learning progression rather than shortcuts it. After all, as highlighted in the series, “Learning is deeper and more durable when it’s effortful.”

Register now