AI in Education and Accessibility

Abstract

Artificial intelligence (AI) has the power to completely transform education by making it more efficient, interesting, and tailored to each student. Artificial intelligence (AI) in education is the application of AI technologies, like natural language processing and machine learning, to improve the educational process. Through the use of algorithms that examine data, spot trends, and generate predictions, teachers are able to tailor instruction to each individual student. The application of AI in education has a lot of potential advantages. One of the biggest benefits of AI in education is personalised learning, which allows students to learn at their own pace and in a way that best fits their learning preferences. This can improve student outcomes. AI in education offers a plethora of revolutionary prospects. AI-powered tools may modify lessons to fit each student's unique learning preferences, improving academic performance and student engagement. AI-powered solutions can also automate administrative work, freeing up teachers' time for deeper engagement with pupils. The study found that AI has been widely embraced and applied in education, especially by educational institutions, in a variety of ways. AI first appeared as computers and computer-related technologies, then moved on to web-based and online intelligent education systems, and finally, with the use of embedded computer systems and other technologies, humanoid robots, and web-based chatbots to carry out the tasks and responsibilities of instructors either alone or in conjunction with other instructors. By using these platforms, teachers have been able to carry out many administrative tasks more successfully and efficiently, like reviewing and grading students' assignments, and provide educational activities of a higher calibre. According to the flow, organisations in the education sector must embrace AI technology since they are essential to modern education.

Country : India

1 Dr. Mohammed Tajuddin2 Dr. Moksud Alam Mallik3 Mohammed Fazil4 Mohammed Yousuf Jameel5 Mohammed Feroz6 Abdul Mubeen

  1. Associate Professor, Department of CSE (Artificial Intelligence and Machine Learning), Lords Institute of Engineering and Technology, Hyderabad, India
  2. Dean R&D, Associate Professor, Department of CSE (Data Science), Lords Institute of Engineering and Technology, Hyderabad, India
  3. UG Student, Department of CSE (Artificial Intelligence and Machine Learning), Lords Institute of Engineering and Technology, Hyderabad, India
  4. UG Student, Department of CSE (Artificial Intelligence and Machine Learning), Lords Institute of Engineering and Technology, Hyderabad, India
  5. UG Student, Department of CSE (Artificial Intelligence and Machine Learning), Lords Institute of Engineering and Technology, Hyderabad, India
  6. UG Student, Department of CSE (Artificial Intelligence and Machine Learning), Lords Institute of Engineering and Technology, Hyderabad, India

IRJIET, Volume 9, Special Issue of INSPIRE’25 April 2025 pp. 343-348

doi.org/10.47001/IRJIET/2025.INSPIRE55

References

  1. Garrison, D., Anderson, T., Archer, W. (1999). Critical Inquiry in a Text-Based Environment: Computer Conferencing in Higher Education. The Internet and Higher Education, 2–3: 87–105.
  2. Harry, Alexandara. "Role of AI in Education." Interdiciplinary Journal & Hummanity (INJURITY) 2, no. 3 (2023).
  3. Eden, Chima Abimbola, Onyebuchi Nneamaka Chisom, and Idowu Sulaimon Adeniyi. "Integrating AI in education: Opportunities, challenges, and ethical considerations." Magna Scientia Advanced Research and Reviews 10, no. 2 (2024): 006-013.
  4. Chen, Lijia, Pingping Chen, and Zhijian Lin. "Artificial intelligence in education: A review." Ieee Access 8 (2020): 75264-75278.
  5. Ahmad, Sayed Fayaz, Mohd Khairil Rahmat, Muhammad Shujaat Mubarik, Muhammad Mansoor Alam, and Syed Irfan Hyder. "Artificial intelligence and its role in education." Sustainability 13, no. 22 (2021): 12902.
  6. Hua, M.T.A. Promises and Threats: iN2015 Masterplan to Pervasive Computing in Singapore. Sci. Technol. Soc. 2012, 17, 37–56.
  7. Roshanaei, Maryam, Hanna Olivares, and Rafael Rangel Lopez. "Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies." Journal of Intelligent Learning Systems and Applications 15, no. 4 (2023): 123-143.
  8. Walczak, Krzysztof, and Wojciech Cellary. "Challenges for higher education in the era of widespread access to Generative AI." Economics and Business Review 9, no. 2 (2023).
  9. Eden, Chima Abimbola, Olabisi Oluwakemi Adeleye, and Idowu Sulaimon Adeniyi. "A review of AI-driven pedagogical strategies for equitable access to science education." Magna Scientia Advanced Research and Reviews 10, no. 2 (2024): 044-054.
  10. Goel, Ashok. "AI-powered learning: making education accessible, affordable, and achievable." arXiv preprint arXiv:2006.01908 (2020).
  11. Harry, Alexandara. "Role of AI in Education." Interdiciplinary Journal & Hummanity (INJURITY) 2, no. 3 (2023).
  12. Osorio, Celia, Noelia Fuster, Wenwen Chen, Yangchongyi Men, and Angel A. Juan. "Enhancing accessibility to analytics courses in higher education through AI, simulation, and e-collaborative tools." Information 15, no. 8 (2024): 430.
  13. Tseng, Chia-En, Seoung Ho Jung, Yasmine N. Elglaly, Yudong Liu, and Stephanie Ludi. "Exploration on integrating accessibility into an AI course." In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, pp. 864-870. 2022.
  14. Eden, Chima Abimbola, Onyebuchi Nneamaka Chisom, and Idowu Sulaimon Adeniyi. "Integrating AI in education: Opportunities, challenges, and ethical considerations." Magna Scientia Advanced Research and Reviews 10, no. 2 (2024): 006-013.
  15. Chen, Lijia, Pingping Chen, and Zhijian Lin. "Artificial intelligence in education: A review." Ieee Access 8 (2020): 75264-75278.
  16. Rasheed, Tayiba, Amna Bashir, Sidra Hanif, and Hassam Gul. "Leveraging AI to Mitigate Educational Inequality: Personalized Learning Resources, Accessibility, and Student Outcomes." The Critical Review of Social Sciences Studies 3, no. 1 (2025): 2399-2412.
  17. Eden, Chima Abimbola, Olabisi Oluwakemi Adeleye, and Idowu Sulaimon Adeniyi. "A review of AI-driven pedagogical strategies for equitable access to science education." Magna Scientia Advanced Research and Reviews 10, no. 2 (2024): 044-054.
  18. Limna, Pongsakorn, Somporch Jakwatanatham, Sutithep Siripipattanakul, Pichart Kaewpuang, and Patcharavadee Sriboonruang. "A review of artificial intelligence (AI) in education during the digital era." Advance Knowledge for Executives 1, no. 1 (2022): 1-9.
  19. Walczak, Krzysztof, and Wojciech Cellary. "Challenges for higher education in the era of widespread access to Generative AI." Economics and Business Review 9, no. 2 (2023).
  20. Roshanaei, Maryam, Hanna Olivares, and Rafael Rangel Lopez. "Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies." Journal of Intelligent Learning Systems and Applications 15, no. 4 (2023): 123-143.
  21. Tajuddin, Mohd, M. Kabeer, and Mohammed Misbahuddin. "Analysis of social media for psychological stress detection using ontologies." In 2020 Fourth International Conference on Inventive Systems and Control (ICISC), pp. 181-185. IEEE, 2020.
  22. Tajuddin, M., M. Kabeer, and Mohammed Misbahuddin. "Original Research Article En-route for an Automatic early stress & non-stress detection analysis for supervised learning with Bayes’ theorem based on multimodal measurements." Journal of Autonomous Intelligence 7, no. 5 (2024).