A principal notices a plateau in science scores after a year of improvement. What data-driven next step is most appropriate?

• A. Check for weather disruptions affecting science scores.
• B. Review teacher opinions about the science program.
• C. Increase science instructional minutes next year without data.
• D. Investigate intervention fidelity, classroom practices, and alignment of standards with assessments.

Answer: (D)

When a plateau occurs after a period of steady improvement, the next move should be to examine how instruction and assessment are actually being carried out. This is a data-driven approach that focuses on the realities inside the classroom: Are interventions being implemented as intended (fidelity)? Do classroom practices align with the standards and with what the assessments are actually measuring? By collecting and analyzing evidence on fidelity, daily instructional practices, and how well the standards line up with the assessments, you can pinpoint whether the stall is due to implementation gaps, misalignment, or something about the assessment not capturing what was taught. If fidelity and alignment checks show alignment and consistent implementation, then you can explore targeted instructional tweaks or enrichment. If fidelity is low, the priority is improving implementation; if alignment is off, you adjust either the instruction or the assessment to ensure they’re measuring the same goals.

Options that rely on external factors like weather, or on opinions rather than concrete evidence, don’t directly reveal what’s happening in the classroom or with the assessments. Simply increasing instructional minutes without data risks stacking time without addressing the real cause.