Using the Intended Curriculum’s Prescribed Assessment Criteria to Measure Curriculum Assessment Alignment

Precision and excellence in curriculum design are vital in science education research, where the efficacy of a well-designed curriculum extends beyond content delivery to incorporate clearly defined assessment criteria. Alignment between the curriculum and assessment, measured traditionally by comparing topic and cognitive distributions, is integral for effective student learning measurement. Poor learner performance often stems from a lack of curriculum assessment alignment. However, it is not only about calculating alignment; it is imperative to evaluate whether the curriculum’s prescribed assessment criteria align with the assessment. Persistent mismatches between the curriculum’s prescribed assessment criteria and the actual assessment undermines the educational framework’s effectiveness. A thorough examination of curriculum assessment alignment is crucial for refining educational practices, ensuring alignment of learning objectives with assessment strategies, and, ultimately, enhancing science education. This paper presents the intended curriculum’s prescribed topic and cognitive distributions as benchmarks for alignment, intensifying the scrutiny to ensure assessments measure the curriculum’s actual intent. A qualitative content analysis of 772 assessment items found a statistically significant difference between the intended curriculum’s prescribed topic and cognitive distributions and the assessment distributions. The findings indicate that calculating curriculum assessment alignment using the distribution-based method is valid, applicable across multiple grades and subjects, and ensures that the intended curriculum’s intent is preserved. Traditional curriculum assessment alignment methods may produce acceptable alignment, but the calculated alignment may not necessarily reflect the curriculum’s intent. The importance of the distribution-based method is that the assessment must conform to the curriculum and not the other way around.