Authors :
Mounasri Asmae
Volume/Issue :
Volume 10 - 2025, Issue 2 - February
Google Scholar :
https://tinyurl.com/y2y29c8x
Scribd :
https://tinyurl.com/4x3v66tf
DOI :
https://doi.org/10.38124/ijisrt/25feb1307
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
E-Learning, supported by emerging technologies such as Artificial Intelligence (AI) and Augmented Reality (AR),
is reinventing the entire education sector by offering more immersive and personalized learning experiences. Despite their
promising potential, their integration remains limited, particularly in terms of personalizing learning paths and optimizing
educational interactions. This article demonstrates, through a study based on multiple case studies and an assessment of
student performance before and after the implementation of these technologies in E-Learning platforms, the benefits that
emerge, including a significant increase in engagement and knowledge retention, as well as a positive impact on learning
trajectories, with greater motivation and improved performance.
The implementation of AI and AR has made learning paths more individualized, enhancing both motivation and
performance, and strengthening learning and educational interactions.
In these developments, AI and AR appear to be essential tools in shaping the future of education, introducing innovative
teaching methods that are more interactive and learner-centered.
Keywords :
E-Learning, Augmented Reality, Artificial Intelligence, Education, Personalized Learning, Educational Technologies, Immersive Learning Environments, Student Engagement, Innovative Pedagogy.
References :
- Anderson, C. (2019). Artificial Intelligence in Education: Building Knowledge and Bridging the Digital Divide. Springer.
- Smith, J., & Williams, M. (2020). The impact of artificial intelligence and augmented reality on learning in higher education. Journal of Educational Technology, 34(2), 245-259.
- Smith, J., & Williams, M. (2023). The role of artificial intelligence in adaptive learning systems. Journal of Educational Technology, 45(3), 123-135.
- Bacca, J., Baldiris, S., Graf, S., et al. (2014). Augmented reality trends in education: A systematic review of research and applications. Educational Technology & Society, 17(4), 133-149.
- Siemens, G. (2005). Connectivism: A Learning Theory for the Digital Age. International Journal of Instructional Technology and Distance Learning, 2(1), 3-10.
- Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Harvard University Press.
- Cohen, L., Manion, L., & Morrison, K. (2017). Research Methods in Education (8th ed.). Routledge.
- Huang, L., & Yang, T. (2022). Enhancing student engagement through AI-driven personalized learning. Educational Research Review, 28(2), 89-102.
- Nguyen, T., Lee, H., & Kim, S. (2021). Challenges in integrating artificial intelligence into existing educational systems. International Journal of Educational Technology, 12(4), 45-58.
- Johnson, R., Smith, K., & Brown, P. (2022). Augmented reality in science education: A case study on 3D anatomical models. Journal of Science Education and Technology, 31(5), 678-690.
- Williams, A., & Brown, J. (2021). The impact of augmented reality on student motivation and engagement in geometry education. Educational Technology Research and Development, 69(3), 345-360.
- Li, X., Zhang, Y., & Chen, W. (2020). Cognitive overload in augmented reality-based learning environments: A systematic review. Computers & Education, 150, 103838.
- Chen, Y., Wang, L., & Liu, H. (2020). Barriers to the adoption of AI and AR technologies in education: A cost and accessibility perspective. Journal of Educational Technology Systems, 48(4), 512-528.
- Carvalho, L., Martinez-Maldonado, R., & Tsai, Y. (2021). Teacher and student resistance to AI and AR technologies in education: A qualitative study. Educational Technology & Society, 24(1), 123-137.
E-Learning, supported by emerging technologies such as Artificial Intelligence (AI) and Augmented Reality (AR),
is reinventing the entire education sector by offering more immersive and personalized learning experiences. Despite their
promising potential, their integration remains limited, particularly in terms of personalizing learning paths and optimizing
educational interactions. This article demonstrates, through a study based on multiple case studies and an assessment of
student performance before and after the implementation of these technologies in E-Learning platforms, the benefits that
emerge, including a significant increase in engagement and knowledge retention, as well as a positive impact on learning
trajectories, with greater motivation and improved performance.
The implementation of AI and AR has made learning paths more individualized, enhancing both motivation and
performance, and strengthening learning and educational interactions.
In these developments, AI and AR appear to be essential tools in shaping the future of education, introducing innovative
teaching methods that are more interactive and learner-centered.
Keywords :
E-Learning, Augmented Reality, Artificial Intelligence, Education, Personalized Learning, Educational Technologies, Immersive Learning Environments, Student Engagement, Innovative Pedagogy.