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IPEM Journals/Computer Applications/Vol. 9

AI and Education: Bridging Gaps with Personalized Learning Models

Dr. Manisha Sing · Dr. Neelam Srivasatava

Vol. 9, Issue 1 (2024)Pages 54-69Published 2024-11-30DOI 10.61691/IPEM_CA.9.2024.54-69

Abstract

The advent of Artificial Intelligence (AI) has ushered in transformative changes across various sectors, with education being one of the most significantly impacted areas. AI has the potential to reshape the landscape of education by providing personalized, adaptive learning experiences, improving student engagement, and optimizing teaching strategies. Through the use of advanced algorithms, machine learning models, and intelligent tutoring systems, AI can tailor learning content to suit the individual needs, pace, and preferences of students, thereby enhancing the learning experience. Additionally, AI technologies enable educators to make data-driven decisions by analyzing vast amounts of student data, which helps in identifying learning patterns, monitoring progress, and providing targeted interventions. These technologies also facilitate the creation of interactive learning environments that make the educational process more dynamic and engaging.

Keywords

  • Artificial Intelligence
  • Education
  • Personalized Learning
  • Adaptive Learning
  • Machine Learning
  • Intelligent Tutoring Systems
  • Student Engagement
  • Learning Outcomes
  • Data Privacy
  • Algorithmic Bias
  • Digital Divide
  • Educational Technology
  • Lifelong Learning
  • Immersive Learning
  • Global Collaboration

Author affiliations

  • Dr. Manisha Singh, Assistant Professor, Ram Chameli Chadha Vishvas Girls College, U.P., Ghaziabad, India
  • Dr. Neelam Srivasatava, Assistant Professor, Ram Chameli Chadha Vishvas Girls College, U.P., Ghaziabad, India

How to cite

M. Singh and N. Srivastava, “AI and Education: Bridging Gaps with Personalized Learning Models,” IPEM Journal of Computer Application & Research, vol. 9, pp. 54–69, Dec. 2024. DOI:

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