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August 15, 2025JURNAL EDUSCIENCEOpen Access

AI-Science Learning With a Deep Learning Approach to Improve Inclusive Student Learning Outcomes

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Authors

SSSiti Mayang SariFFFidawati FidawatiZZZahraini Zahraini

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Overview

Quantitative analysis demonstrates improved academic achievement in inclusive students through AI and deep learning integration, indicating enhanced engagement and critical thinking.

Key Points

  • Academic achievement increased by 21% post-intervention, showing significant improvement in inclusive students' performance.
  • Statistically significant changes were found in pre- and post-test scores (p < 0.05), confirming learning improvements.
  • Analysis utilized a quantitative approach with 25 elementary school students exploring AI-based educational tools.
  • AI features engaged students actively, reducing learning barriers for those with special needs, highlighting its potential for inclusive education.

Cite This Study

Sari et al. (2025) studied this question.

synapsesocial.com/papers/68af7dfe7567bf4f94ff565ehttps://doi.org/10.36987/jes.v12i4.7431
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  5. 5Exploring Artificial Intelligence in Inclusive Education: A Systematic Review of Empirical Studies2025 · 22 citations