| 1 | Title of the Article | A Comprehensive Review of AI-Based Personalized and Adaptive Learning Systems in Engineering Education |
| 2 | Author's name | Aparna Sikarwar: M.Tech Scholar, Department of Computer Science and Engineering, Raja Balwant Singh Engineering Technical Campus, Bichpuri, Agra, Uttar Pradesh, India |
| 3 | Author's name | Anshul Kumar Singh |
| 4 | Subject | Computer Science |
| 5 | Keyword(s) | Artificial Intelligence, Adaptive Learning, Personalized Education, Learning Analytics, Machine Learning |
| 6 | Abstract | Artificial intelligence is changing the way we learn. It is making education more personal and flexible. Artificial intelligence is helping to create learning settings that are tailored to each student. This is happening because of machine learning and other technologies. These technologies are helping to make learning more effective. This paper looks at 26 studies on artificial intelligence and learning. It looks at how artificial intelligence's being used to make learning more personal and adaptive. The paper divides these studies into four groups. It then compares them to see what works and what does not. The paper finds that artificial intelligence is helping students to learn more and get results. However, there are still some problems to solve. For example, artificial intelligence systems need to be designed and made more scalable. They also need to be able to explain how they work. Artificial intelligence is making a difference in education. It is helping to make learning more personal and effective. The paper suggests some areas for research. It wants to make intelligence in education even better. Artificial intelligence and adaptive learning are very important. They are changing the way we learn. |
| 7 | Publisher | Innovative Research Publication |
| 8 | Journal Name; vol., no. | International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-14 Issue-2 |
| 9 | Publication Date | March 2026 |
| 10 | Type | Peer-reviewed Article |
| 11 | Format | |
| 12 | Uniform Resource Identifier | https://ijircst.org/view_abstract.php?title=A-Comprehensive-Review-of-AI-Based-Personalized-and-Adaptive-Learning-Systems-in-Engineering-Education&year=2026&vol=14&primary=QVJULTE0NTg= |
| 13 | Digital Object Identifier(DOI) | 10.55524/ijircst.2026.14.2.11 https://doi.org/10.55524/ijircst.2026.14.2.11 |
| 14 | Language | English |
| 15 | Page No | 81-87 |