Artificial Intelligence in Education: A Comprehensive Study
Open accessAbstract
This comprehensive study delves into the multifaceted role of AI in education, exploring its applications, benefits, challenges, and future implications. The purpose of the study is to show how AI in education helps educators identify gaps in student knowledge and provide targeted feedback to improve learning outcomes. As a methodology, the library method and the study and review of various documents have been used in this research. The study examines the diverse range of AI technologies employed in educational settings, including intelligent tutoring systems, personalized learning platforms, educational chatbots, and virtual reality simulations. Furthermore, the study delves into the numerous benefits that AI brings to education. It highlights how AI-powered analytics and data-driven insights enable educators to gain deeper insights into student learning patterns, identify areas for improvement, and tailor instructional strategies accordingly. Additionally, AI-driven tools promote inclusivity by providing personalized support to learners with diverse needs and learning styles. Despite its transformative potential, the study also acknowledges the challenges and ethical considerations associated with integrating AI into education. Data privacy, algorithmic bias, and the digital divide are examined in detail, emphasizing the importance of responsible AI deployment and ethical guidelines. Looking ahead, the study explores the future implications of AI in education and the evolving role of educators in AI-enabled classrooms. It discusses how AI technologies will continue to evolve, offering new opportunities for collaborative learning, skill development, and lifelong education. In conclusion, this comprehensive study underscores the profound impact of AI on education and the need for thoughtful implementation strategies that prioritize equity, inclusivity, and ethical considerations. By harnessing the potential of AI, education systems can better prepare learners for the challenges and opportunities of the future.
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Farahani and Ghasmi argue that challenges necessitate well-structured governance strategies that account for the pedagogical, ethical, and social consequences of AI deployment in higher education.
“These challenges, as Farahani and Ghasmi [15] also argue, necessitate well-structured governance strategies that account for the pedagogical, ethical, and social consequences of AI deployment in higher education.”
From Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration (2025) · cites this paper as [15]
Research by Farahani and Ghasmi and relevant sections of this entry on AI literacy highlight the potential for AI to exacerbate the digital gap.
“Research conducted by Farahani and Ghasmi [15] and the relevant sections of this entry on AI literacy highlight the potential for exacerbating the digital gap.”
From Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration (2025) · cites this paper as [15]
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Adamakis, M., & Rachiotis, T. (2025) · Encyclopedia · doi:10.3390/encyclopedia5040180 · Cited by 76 · see citing works
- Authors
- Farahani, M. S., & Ghasmi, G.
- Affiliations
- Khatam University (IR)
- Islamic Azad University, Tehran (IR)
- Venue
- Forum for Education Studies
- Publisher
- Academic Publishing Pte. Ltd.
- Published
- 2024-07-01
- Volume
- 2
- Issue
- 3
- Pages
- 1379
- ISSN
- 3029-2956 (ISSN-L)
- OpenAlex
- W4400214481
- Cited by
- 51
- References
- 0
- Citations by year
- 2026: 16 · 2025: 31 · 2024: 4
- FWCI
- 19.09
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Forum for education studies. (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence in education, intelligent tutoring systems, personalized learning, educational chatbots, virtual reality in education, learning analytics, student feedback, data privacy, algorithmic bias, digital divide, inclusive education, AI ethics, role of educators, lifelong learning, cooperative learning
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