Exploring relationships between individual differences and learning outcomes in data-driven learning: A meta-analytic path analysis approach

Key Points

• Learning outcomes are significantly influenced by individual differences in data-driven learning.
• The meta-analysis reveals an effect size indicating that specific traits enhance learning efficiency.
• Path analysis method combines various studies to identify trends among different learner profiles.
• The findings may inform tailored instructional strategies to optimize educational outcomes.