Keywords:-
Article Content:-
Abstract
The growing complexity of technical education demands personalized learning systems that can adapt to diverse student needs. Traditional approaches, based on static tasks or fixed rules, struggle to support the development of critical problem-solving skills. While current adaptive systems provide some personalization, they remain limited by scalability and computational demands. This study introduces a deep learning–based adaptive learning system that adjusts task difficulty in real time to enhance problem-solving performance among technical college students. A controlled eight-week experiment with 200 participants showed that students using the system improved their precision by 14% (71.8% to 85%), compared to 5% in the control group, and reduced their average task time by 15% (105s vs. 124s). These results highlight the system’s effectiveness in improving accuracy, efficiency, and learner engagement. The proposed solution offers a scalable and personalized approach to advancing adaptive learning in technical education.
References:-
References
J. V. Tojimamatovich, ‘‘Digital transformation of
educational managementsystem,’’ Universal J. Ie Educ., vol. 2, no. 4, pp. 202–206, 2023.
V. Willis, ‘‘The role of artificial intelligence (AI) in
personalizing online learning,’’ J. Online Distance Learn., vol. 3, no. 1, pp. 1–13, Feb. 2024,
V. T. Lokare and P. M. Jadhav, ‘‘An AI-based learning style prediction model for personalized and effective learning,’’ Thinking Skills Creativity,vol. 51, Mar. 2024, Art. no. 101421, doi: 10.1016/j.tsc.2023.101421.
K. H. D. Tang, ‘‘Implications of artificial intelligence for teaching and learning,’’ Acta Pedagogia Asiana, vol. 3, no. 2, pp. 65–79, Feb. 2024, doi:10.53623/apga.v3i2.404.
R. Dobrican and D. Zampunieris, ‘‘Supporting ollaborative Learning inside communities of practice through proactive computing,’’ in Proc.Edulearn, 2013, pp. 5824–5833.
K. Bijlani, K. R. Jayahari, and A. Mathew, ‘‘A-view: Real-time collaborative multimedia e-learning,’’ in Proc. 3rd Int. ACM Workshop Multimedia Technol. Distance Learn., Scottsdale, AZ, USA, Dec. 2011,pp. 13–18.
A. Moubayed, M. Injadat, A. B. Nassif, H. Lutfiyya, and A. Shami, ‘‘Elearning: Challenges and research opportunities using machine learning & data analytics,’’ IEEE Access, vol. 6, pp. 39117–39138, 2018, doi:10.1109/ACCESS.2018.2851790.
Personalized education and Artificial Intelligence in the United States,China, and India: A systematic review using a Human-In-The-Loop model Aditi Bhutoria ,Elsevier,2025
Artificial intelligence-enabled adaptive learning platforms: A reviewLe Ying Tan a, Shiyu Hu b, Darren J. Yeo c, Kang Hao Cheong, Elsevier,2025
Personalized adaptive learning in higher education: A
Scopingreview of key characteristics and impact on
Academic performanceand engagement Eileen du PlooyDaleenCasteleijn,DeniseFranzsen,Heliyon,2025
E-LEARNING USING ARTIFICIAL INTELLIGENCE:
AN INNOVATIVE APPROACH TO DISTANCE
LEARNING FOR ENHANCED DATA GENERATION, LECHHAB, M. EZZAKI , D. BENAMMI ,M. OUJARRA Y. FAKHRI, S. BOUREKKADI1
Automated Assessment and Monitoring Support for
Competency-Based CoursesHECTOR VARGAS ,
RUBEN HERADIO, JESUS CHACON, LUIS DE LA TORRE ,GONZALO FARIAS ,DANIEL GALAN AND SEBASTIAN DORMIDO,2024,IEEE
Developing an adaptive learning platform based on
artificial intelligence (AI) to personalize the learning
experience ,Tran Quang Thuan , Nguyen De , Nguyen Văn Toai International Journal of Management and Organizational Research,2024
Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis Constantinos Halkiopoulos1,* and Evgenia Gkintoni ,MDPI,2024
Implementation of an Artificial Intelligence Based
Learning Management System for Adaptive Learning Victor Benny AlexsiusPardosi , Shanshan Xu , Ulfah Umurohmi ,Nurdiana , FatmawatiSabur ,2024, AL-FIKRAH:
JurnalManajemen Pendidikan,
Aditya Nirwana, Sudarmiatin, & Melany. (2023).
Implementing Artificial Intelligence in Digital Marketing Development: A Thematic Review and Practical Exploration. JurnalManajemenBisnis, Akuntansi Dan Keuangan,2(1),85–112.
https://doi.org/10.55927/jambak.v2i1.4034
Ahmad, S. F., Alam, M. M., Rahmat, Mohd. K., Mubarak, M. S., &Hyder, S. I. (2022).Academic and Administrative Role of Artificial Intelligence in Education. Sustainability, 14(3), 1101. https://doi.org/10.3390/su14031101
Aqtash, S., Alnusair, H., Brownie, S., Alnjadat, R.,
Fonbuena, M., &Perinchery, S. (20224). Evaluation of the Impact of an Education Program on Self-Reported Leadership and Management Competence Among Nurse Managers. SAGE Open Nursing, 8, 237796082211064.https://doi.org/10.1177/23779608221106450
A comprehensive systematic review of AI-driven approach to self-directed learning, ny MD Younus,Diana Dakhs,Yicun Jiang,IEEE,2025
Smart E-Learning Framework for Personalized Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning SAMINA AMIN 1, M. IRFAN UDDIN 1, (Member, IEEE), ALA ABDULSALAM ALAROOD 2,WALI KHAN MASHWANI3, ABDULRAHMAN ALZAHRANI 4, AND AHMED OMAR ALZAHRANI4.2025,IEEE