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October 1, 2025

Exploring AI-Driven Personalized Learning Platforms for Adapting Biology Curricula Based on Student Performance

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Authors

MYMuhammad Hayatu YususfDMD.C. MusaAAAliyu Abdullahi

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Overview

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.

Cite This Study

Yususf et al. (2025) studied this question.

synapsesocial.com/papers/68dd91dafe798ba2fc4991e8https://doi.org/10.63561/jca.v2i3.835
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