Anonymized Dataset for Problem-Based Learning Integrated with Deep Learning: Mathematical Understanding and Mathematical Abstraction Based on Growth Mindset Categories

This anonymized dataset supports the study entitled “Problem-Based Learning Integrated with Deep Learning: Mathematical Understanding and Mathematical Abstraction Based on Growth Mindset Categories.” The dataset contains data from 60 Grade IV elementary school students included in the main analysis using the extreme 30% growth mindset grouping. The analyzed sample consisted of four groups: PBL-DL with high growth mindset (n = 15), PBL-DL with low growth mindset (n = 15), expository learning with high growth mindset (n = 15), and expository learning with low growth mindset (n = 15). The dataset includes anonymized participant IDs, learning model, growth mindset category, growth mindset score, mathematical understanding posttest score, and mathematical abstraction posttest score. Participant names and other direct personal identifiers are not included in the dataset. The dataset is provided to support transparency and reproducibility of the statistical analyses reported in the associated manuscript.