Small Classes vs Resource Efficiency
Set class size by instructional function, using large groups for delivery and small groups only where interaction drives learning value.
CyberTRIZ analysis · Education contradiction TW012 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Business Context
Smaller classes can increase opportunities for interaction, feedback, observation, and individualized support. Maintaining small groups throughout an educational program, however, requires additional teachers, rooms, scheduling capacity, and financial resources. Larger classes improve resource utilization but may reduce the effectiveness of activities requiring close interaction.
Education TRIZ Resolution
Institutions should vary group size according to instructional function rather than maintaining one class-size model for every activity. Information delivery and selected common activities may occur efficiently in larger groups, while discussion, laboratories, feedback, practice, and targeted intervention use smaller groups where interaction creates greater educational value.
Applicable TRIZ Principles
Principle 1 – Segmentation divides instructional activities according to appropriate group size.
Principle 15 – Dynamics changes group configuration according to the learning function.
Principle 3 – Local Quality concentrates smaller-group resources where they have the greatest educational effect.
Expected Outcome
Greater access to small-group learning
Improved resource efficiency
Better teacher-student interaction where required
More flexible instructional capacity
Decision Indicators
Early indicators include:
Identical class-size targets apply to all instructional activities.
Small classes are maintained for activities requiring little interaction.
Large groups prevent effective practice or feedback.
Enrollment growth automatically requires proportional increases in sections.
Class size is discussed independently from instructional function.
These indicators suggest that group size should become a variable rather than a fixed characteristic.