From Classrooms to Digital Spaces: The Evolution of Learning with AI and Technology

Authors

  • Sirisha Veluri CSE Dept., Nalla Malla Reddy Engineering College (NMREC), Hyderabad, Telangana
  • P S Harsha CIVIL Dept., Nalla Malla Reddy Engineering College (NMREC), Hyderabad, Telangana
  • Muntha Raju CSE Dept., Nalla Malla Reddy Engineering College (NMREC), Hyderabad, Telangana
  • Kandru Suresh CIVIL Dept., Nalla Malla Reddy Engineering College (NMREC), Hyderabad, Telangana

DOI:

https://doi.org/10.16920/jeet/2025/v38is2/25045

Keywords:

Adaptive Learning Systems; Artificial Intelligence (AI); Digital Learning; Educational Technology; Personalized Learning; Intelligent Tutoring Systems

Abstract

The shift from traditional classrooms to digital spaces represents a significant transformation in educational practices, driven by advancements in artificial intelligence (AI) and technology. This paper examines the evolution of learning environments, emphasizing the impact of AI in modern education. Key areas of focus include intelligent teaching systems, adaptive learning platforms, individualized learning, and automated grading. The study discusses the advantages these technologies bring, such as improved student engagement, customized instruction, and reduced administrative tasks. Additionally, it addresses the challenges and ethical concerns associated with AI integration, including data privacy, the digital gap and the requirement for thorough teacher preparation. The research highlights the necessity for academic institutions to adopt AIpowered tools to enhance educational outcomes. The paper concludes by advocating for a hybrid education model that integrates traditional and digital methods, establishing a digital era learning environment that is more flexible and productive.

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Published

2025-05-12

How to Cite

Veluri, S., Harsha, P. S., Raju, M., & Suresh, K. (2025). From Classrooms to Digital Spaces: The Evolution of Learning with AI and Technology. Journal of Engineering Education Transformations, 38(2), 375–383. https://doi.org/10.16920/jeet/2025/v38is2/25045