The Impact of Artificial Intelligence on Modern Education and Digital Learning

Authors

  • Miss Huda Shaikh, Mr. Taozeeh Patel

Keywords:

educational technology, intelligent tutoring systems, adaptive education, digital learning, Artificial intelligence

Abstract

Artificial Intelligence (AI) has emerged as one of the most significant technological influences shaping contemporary education and digital learning. Its integration into teaching, assessment, personalized learning, and institutional management has revolutionized the manner in which knowledge is imparted and absorbed in the 21st century. This research paper investigates the effects of AI on modern education by utilizing secondary data, which encompasses existing theories, empirical studies, policy documents, technological analyses, and global reports. The study delves into the advantages of AI—such as adaptive learning, intelligent tutoring, automation, predictive analytics, and enhanced accessibility—while also critically examining the challenges associated with data privacy, ethical concerns, digital inequality, teacher preparedness, and algorithmic bias. An extensive Review of Literature (ROL) consolidates key international research contributions and presents an overview of the changing educational landscape. The paper concludes by addressing the implications for future learning environments and provides recommendations for the responsible and equitable integration of AI.

References

Baker, R., & Siemens, G. (2014). Educational data mining and learning analytics. Learning Analytics, 105–126.

Bhagat, P. H., & Shaikh, S. A. (2025). Managing health care in the digital world: A comparative analysis on customers using health care services in Mumbai suburbs and Pune city. IJCRT. Registration ID: IJCRT_216557.

Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. Cambridge Handbook of Artificial Intelligence, 316–334.

Chougle, Z. S., & Shaikh, S. (2022). To understand the impact of Ayurvedic health-care business & its importance during COVID-19 with special reference to “Patanjali Products”. In Proceedings of the National Conference on Sustainability of Business during COVID-19, IJCRT, 10(1),

Crompton, H., & Burke, D. (2018). Artificial intelligence in education: A review of current applications. International Journal of Education Technology, 45(2), 98–112.

Ferguson, R. (2012). Learning analytics: Drivers, developments, and challenges. International Journal of Technology Enhanced Learning, 4(5–6), 304–317.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.

Knewton. (2014). Adaptive Learning Technology Report. Knewton Publications.

Koedinger, K., Corbett, A., & Perfetti, C. (2013). The knowledge-learning-instruction framework. Cognitive Science, 37(7), 1105–1131.

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson.

O’Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown.

Parikh, V. (2023). Whistleblowing in B-Schools, Education and Society, Vol-47, Issue – 1, Pg. 183-1

Parikh, V. C. (2022) Strategic talent management in education sector around organizational life cycle stages! JOURNAL OF THE ASIATIC SOCIETY OF MUMBAI, SSN: 0972-0766, Vol. XCV, No.11.

Rose, D., & Dalton, B. (2009). Learning to read in the digital age. Mind, Brain, and Education, 3(2), 74–83.

Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Wiley.

Shaikh, S. A. (2024). Empowering Gen Z and Gen Alpha: A comprehensive approach to cultivating future leaders. In Futuristic Trends in Management (IIP Series, Vol. 3, Book 9, Part 2, Chapter 2). IIP Series. https://doi.org/10.58532/V3BHMA9P2CH2

Shaikh, S. A., & Jagirdar, A. H. (2026). Beyond AI dependence: Pedagogical approaches to strengthen student reasoning and analytical skills. In S. Khan & P. Pringuet (Eds.), Empowering learners with AI: Strategies, ethics, and frameworks (Chapter 8, pp. 1–16). IGI Global. https://doi.org/10.4018/979-8-3373-7386-7.ch008

Shermis, M., & Burstein, J. (2013). Handbook of Automated Essay Evaluation. Routledge.

Siemens, G., & Long, P. (2011). Penetrating the fog. EDUCAUSE Review, 46(5), 30–40.

VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197–221.

Warschauer, M. (2004). Technology and Social Inclusion: Rethinking the Digital Divide. MIT Press.

Woolf, B. (2010). Building Intelligent Interactive Tutors. Morgan Kaufmann.

Downloads

How to Cite

Miss Huda Shaikh, Mr. Taozeeh Patel. (2025). The Impact of Artificial Intelligence on Modern Education and Digital Learning. International Journal of Research & Technology, 13(S4), 30–35. Retrieved from https://ijrt.org/j/article/view/648

Similar Articles

<< < 40 41 42 43 44 45 

You may also start an advanced similarity search for this article.