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September 12, 2025˜The œcritical review of social sciences studies

Artificial Intelligence in Education: Bridging Technology and Pedagogy for Student-Centered Outcomes

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Authors

SMS. MalikLNLaila NazHGHumaira Ghafoor

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Overview

Mixed-methods analysis finds AI-driven tutoring systems improve learning outcomes and engagement, indicating potential for personalized education.

Key Points

  • AI-driven intelligent tutoring systems significantly improved student learning outcomes, raising scores from 61.23 to 82.43.
  • Data showed 76% of students using intelligent tutoring systems reported high levels of engagement, with a mean engagement score of 5.42.
  • This study employed a mixed-methods approach, combining quantitative and qualitative data to assess the impact on education.
  • The findings highlight ethical considerations in AI integration, pointing to algorithmic bias and the digital divide as critical challenges.

Cite This Study

Malik et al. (2025) studied this question.

synapsesocial.com/papers/68d41ee1713b0b5dfea67f66https://doi.org/10.59075/ga8h2c83
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Transforming Education through Artificial Intelligence: Impacts on Learning Outcomes and Teaching Practices2025
  2. 2The role of artificial intelligence in enhancing educational tools and platforms2025
  3. 3Integrating Artificial Intelligence in Education: Advancing Personalized Learning Within Ethical Frameworks: An Overview2025
  4. 4AI-Driven Technology Integration in Digital Education: A Critical Analysis of its Impact on Classroom Teaching and Learning2025
  5. 5Artificial Intelligence in K-12 Educational Technology: A Comprehensive Analysis of Current Applications, Challenges, and Future Directions2025