What type of analysis involves reviewing student performance data to inform teaching adjustments?

Item analysis involves a detailed examination of student performance data related to specific test items or questions. This type of analysis focuses on how students performed on individual questions, allowing educators to identify trends in understanding, common misconceptions, and areas that may require further instruction or clarification. By analyzing student responses, teachers can adjust their teaching strategies to address identified weaknesses, thus enhancing overall student learning outcomes.

The other options reflect broader or different types of analysis that do not specifically target the refinement of teaching based on student performance at the item level. Data mining typically refers to extracting patterns from large datasets but is not specifically focused on individual student performance in a classroom context. Performance review could imply assessing an educator’s overall efficacy rather than analyzing specific student data to inform teaching. Evaluation analysis generally encompasses broader assessment processes, including overall program evaluations instead of performance at a granular level.