Quasi-experimental research shows AI systems improve comprehension and experimental skills in biology students, indicating significant instructional advantages.
Key Points
The experimental group using AI-driven learning platforms showed significantly greater improvements in comprehension and skills compared to the control group.
Statistical analyses revealed strong effect sizes for AI-based learning, with Cohen's d values indicating notable impact on both comprehension and experimental skills.
Pretest and posttest assessments confirmed the effectiveness of AI integration in biology curricula, with AI-powered systems explaining a significant portion of variance in learning outcomes.
These findings suggest the need for broader institutional adoption of AI in education, highlighting potential benefits for both students and educators.