Self-differentiating learning environments promise a comprehensive differentiation potential. Christine Scherres captures this potential not only through level distribution, as is customary, but also through level appropriateness. This is because working at an appropriate level is important for the effectiveness of learning. For her case study, she constructs an analytical framework to investigate level appropriateness from a process-oriented perspective. She demonstrates that level appropriateness in a self-differentiating cube network learning environment does not occur automatically, but requires support from instructional contextual conditions.