Learning through AI and Machine Learning: The Implications of Using Digital Tools in Modern Classrooms

Authors

  • Jaswanth V. Vidyavardhaka College of Engineering
  • Geethashree A. Vidyavardhaka College of Engineering
  • Nagaraja B. G. Vidyavardhaka College of Engineering
  • Chaithanya D. J. Vidyavardhaka College of Engineering
  • Chandrashekar M. Patil Vidyavardhaka College of Engineering
  • Amit Raikar Vidyavardhaka College of Engineering
  • Harshitha K. Vidyavardhaka College of Engineering

DOI:

https://doi.org/10.16920/jeet/2026/v39is2/26017

Keywords:

AI - Artificial Intelligence; ML - Machine Learning, Tech-Education; Learning enhancement; Technical Systems; Critical Analytics; use of Digital Tools; Adaptive & Analytical Learning.

Abstract

Artificial Intelligence & Machine Learning are rapidly developing along with the technologies mentioned above and having a tremendous impact on institutions of higher education by providing more enhanced, effective and data-driven learning experiences. This study reviews the use of AI and ML in the multimedia (digital) learning environment of modern education systems, including their applications, advantages, disadvantages and impact(s) on both educators and students. The results of this study also include the development of a method for determining how well adaptive learning platforms, predictive analytics and intelligent tutor systems have positively impacted or will positively impact student engagement and success through an extensive literature review and a mixed-methods research methodology (surveys and case studies). Although the results of the study indicate that AI will support better learning pathways and increased administrative automation, there are still very real concerns regarding privacy of data and the effects of algorithmic bias as well as issues of digital access inequality. 78% of teachers surveyed indicated that the use of AI-based tools helped them to reduce their administrative burden; 65% of students surveyed identified a positive increase in engagement when using adaptive and personalized learning systems. The paper concludes with recommendations for further research as well as recommendations for responsible and ethical integration of AI & ML into educational settings.

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Published

2026-02-18

How to Cite

V., J., A., G., B. G., N., D. J., C., Patil, C. M., Raikar, A., & K., H. (2026). Learning through AI and Machine Learning: The Implications of Using Digital Tools in Modern Classrooms. Journal of Engineering Education Transformations, 39(Special Issue 2), 133–140. https://doi.org/10.16920/jeet/2026/v39is2/26017

Issue

Volume 39, Special Issue 2, January 2026

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

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