Emerging Technologies in Learning: A Bibliometric Analysis of Technology Integration and Applications

Authors

DOI:

https://doi.org/10.3991/ijim.v19i05.51267

Keywords:

Smart learning, Artificial intelligence, A Bibliometric Analysis, big data, AI in Education, Internet of Things (IoT), Educational Technologies

Abstract


Smart learning, a field marked by rapid evolution and innovation, leverages emerging technologies to address modern educational challenges, transforming teaching methodologies and driving significant progress. This study analyzes the impact of key technologies, including artificial intelligence (AI), the Internet of Things (IoT), big data, and generative AI, between 2010 and 2024 using bibliometric and content analysis methods. Drawing from Scopus and Web of Science (WoS) databases, it highlights how these innovations foster personalized learning environments and dynamic educational content. The findings reveal exponential growth in research on AI and the IoT in education since 2015, with major contributions from Chinese and American researchers. The study profiles influential researchers, leading institutions, and pioneering countries, offering insights into the evolving landscape of smart education. By examining trends and the interplay between technology and educational reform, the paper underscores the importance of data-driven strategies for designing and implementing adaptive learning systems. It also anticipates future challenges and opportunities, proposing a framework to guide ethical integration of these technologies into education, ensuring they enhance global learning outcomes in an increasingly digital world.

Author Biographies

Al Mahdi Khaddar, Hassan II University of Casablanca, Casablanca, Morocco

AL MAHDI KHADDAR holds a Master's degree in Computer Science from the Ben M'Sick Faculty of Science, LTI Laboratory, Hassan II University, Casablanca, Morocco, and is enrolled in the Doctorate in Computer Science. His expertise lies at the intersection of information and communication technologies (ICT) and education. He is deeply committed to exploring how smart technologies can contribute to the development of intelligent learning environments across different educational levels and domains.

 

For those wishing to contact him or collaborate on research projects, he can be contacted by e-mail at: almahdi.khaddar-etu@etu.univh2c.ma

Amine Dehbi, Hassan II University of Casablanca, Casablanca, Morocco

Amine Dehbi received a Ph.D. in computer science from the Faculty of Sciences Ben M‘Sick, LTI Laboratory, at Hassan II University of Casablanca, Morocco. His expertise lies in the intersection of Information and Communication Technology (ICT) in education. He is deeply engaged in exploring how smart technologies can contribute to the development of smart learning environments across various educational levels and fields.

His extensive research portfolio spans a range of cutting-edge topics, including Smart Education, e-learning, Interoperability, Big Data, Cloud Computing, Artificial Intelligence, Internet of Things, engineering education, natural resources, and sustainable development. With a commitment to advancing the frontiers of knowledge, his actively contributes to scholarly discourse on these subjects through his publications.

For those interested in reaching out to him or collaborating on research endeavors, He can be contacted via email at: dehbiamine1@gmail.com.

Abdelhakim Alali, Hassan II University of Casablanca, Casablanca, Morocco

Abdelhakim ALALI is Professor at the Ben M'Sick Faculty of Science - Hassan II University, Casablanca. He holds a PhD in electronics. He is a permanent member of the Laboratoire de Traitement de l'Information (LTI), and can be contacted at the following e-mail address: hakim.alali@gmail.com 

Abdellah Bakhouyi, Hassan II University of Casablanca, Casablanca, Morocco

Abdellah Bakhouyi  is a Professor at National Higher school of Art and Design - Hassan II University of Casablanca, He obtained his Doctorate in Applied Sciences in Computer Science. He is a permanent member of Laboratory of Information Processing (LTI), and associate member of T2IA Team - Laboratory of Modeling and Simulation of Intelligent Industrial Systems (M2S2I). In charge of distance education (e-learning service) at National Higher school of Art and Design - Hassan II University of Casablanca Morocco since September 2019.  His research focuses on fields:  Machine learning, Artificial intelligence, Data Science and Data Analyst - Business Intelligence, Internet of Thing, Semantic Web, Big Data and Analytics and E-learning, M-learning, Interoperability of E-learning Systems. He can be contacted at email: abdellah.bakhouyi@gmail.com.

Mohamed Talea, Hassan II University of Casablanca, Casablanca, Morocco

Mohamed Talea  is a Professor and Research Director of the LTI Laboratory of the Faculty of Sciences Ben M‘Sick at Hassan II University of Casablanca, Morocco. With an impressive academic career spanning over 30 years.

Professor Talea's primary focus lies in the realm of Systems Engineering, Networking, and the Security of Information Systems. His extensive experience and scholarly contributions have significantly enriched the academic landscape, making him a respected authority in his field.

He can be contacted via email at: taleamohamed@yahoo.fr.

Cover iJIM – Vol 19, No 05, 2025

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Published

2025-03-13

How to Cite

Khaddar, A. M., Dehbi, A., Alali, A., Bakhouyi, A., & Talea, M. (2025). Emerging Technologies in Learning: A Bibliometric Analysis of Technology Integration and Applications. International Journal of Interactive Mobile Technologies (iJIM), 19(05), pp. 60–78. https://doi.org/10.3991/ijim.v19i05.51267

Issue

Vol. 19 No. 05 (2025)

Section

Papers

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Copyright (c) 2025 AL MAHDI KHADDAR, AMINE DEHBI, ABDELHAKIM ALALI, ABDELLAH BAKHOUYI, MOHAMED TALEA

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This work is licensed under a Creative Commons Attribution 4.0 International License.