Analytical thinking is crucial for developing problem-solving, decision-making, and higher-order thinking skills. Many researchers have consistently developed learning management models to enhance students' analytical thinking, resulting in extensive knowledge but lacking clear systematic summaries. This study aims to: (a) explore the effect sizes and research characteristics influencing students' analytical thinking, and (b) compare the effect sizes of learning management models after adjusting for propensity score matching. In exploring 131 graduate research papers published between 2002 and 2021, the research utilized forms for recording research characteristics and questionnaires for assessing research quality for data collection. Effect sizes were calculated using Glass's method, while data analysis employed random effects, fixed effects, and regression meta-analysis methods. The findings indicate that (a) research on learning management models significantly impacts students' analytical thinking at a high level (d̅ = 1.428). Seven research characteristics, including year of publication, field of research, level, duration per plan, learning management process, measurement and evaluation, and research quality, statistically influence students' analytical thinking, and (b) after propensity score matching, learning through techniques such as KWL, KWL-plus, Six Thinking Hats, 4MAT, and Mind Mapping had the highest influence on students' analytical thinking. Recommendations for developing students' analytical thinking involve creating a learning management process that fosters understanding, systematic practical training, expanding thinking through collaborative exchanges, and assessments using learning materials and tests to stimulate increased analytical thinking.

Our study examines the link between adolescents’ skills (mathematics, reading literacy, and physical fitness) and the frequency with which they participate in housework. We utilize a large longitudinal dataset of Hungarian adolescents (N = 37,461), making this, to our knowledge, the first European study on this topic. We use a rich set of background variables and fixed effects estimators to account for time-varying and time-invariant individual characteristics. Contrary to most of the literature we find cognitive skills to have no practically significant relationship with housework frequency. This discrepancy can be attributed to methodological choices (i.e., the use of the fixed effects estimator) or sociocultural differences in housework duties between the regions studied. Investigating heterogeneous effects on cognitive skills, we find girls’ literacy scores to be slightly affected by daily housework (-.02 SD), unlike boys’. The difference is more pronounced for children with highly educated parents and working mothers (-.06 SD). Substantially lower mathematics scores are detected for children who almost never participate in housework and have unemployed mothers (-.19 SD). Children who have chores to do almost every day and whose mothers are on parental leave also show signs of worsened mathematics ability (-.1 SD). Fitness levels of students who rarely engage in housework are significantly lower (-.04 SD), suggesting that some participation in household tasks contributes to physical well-being. This effect is pronounced for children of tertiary-educated parents (-.05 SD). Overall, findings suggest that household chores are cognitively neutral for most adolescents, have small physical-fitness benefits when performed in moderation, and become academically detrimental only at the extremes within specific family contexts.