"Gender Differences in Cognitive Mastery of Sequences and Series Dataset"

"This dataset provides insights into the gender differences in cognitive mastery of sequences and series, as depicted through the Average Mastery Probability by Gender for various sub-skills in mathematics. The data was collected from eighth-grade students and evaluated using Cognitive Diagnostic Modeling (CDM). The dataset includes average mastery probabilities for male and female students across four sub-skills (SS1, SS2, SS3, SS4). It highlights distinct learning patterns, where female students show higher mastery in foundational concepts (SS1), while male students demonstrate a more balanced performance across procedural and applied skills (SS3 and SS4). This dataset serves as a resource for understanding gender-based differences in cognitive skills and can be used to inform differentiated instructional strategies in middle school mathematics education."