AI-Driven Adaptive Learning Systems in Vocational Education: A New Paradigm for Skill Acquisition
Main Article Content
Abstract
Adaptive learning systems, powered by Artificial Intelligence (AI), offer personalized and flexible learning experiences tailored to the unique needs of individual students. This paper investigates the role of AI-driven adaptive learning systems in vocational education, particularly in enhancing skill acquisition. The study explores how AI can continuously analyze learners' progress, identify gaps in knowledge, and provide customized learning paths to optimize skill development. It also discusses the potential of AI to support competency-based education models, where learners progress based on their mastery of specific skills. The paper presents case studies of successful implementations of adaptive learning systems in vocational training programs and outlines best practices for integrating AI into vocational education curricula.
Article Details
How to Cite
References
Hohenstein, N.-O., Feisel, E., Hartmann, E., & Giunipero, L. C. (2014). Research on the management of sustainable supply chains: An overview of the literature. International Journal of Production Economics, 147, 1-14.
Jayaraman, V., & Ross, A. (2003). A review of supply chain management: From the perspective of sustainability. International Journal of Production Research, 41(8), 2081-2096.
Linton, J. D., Klassen, R. D., & Jayaraman, V. (2007). Sustainable supply chains: An introduction. Journal of Operations Management, 25(6), 1075-1082.
Min, H., & Zhou, G. (2002). Supply chain modeling: Past, present and future. Computers & Industrial Engineering, 43(1-2), 231-249.
Patra, G. K., Kuraku, C., Konkimalla, S., Boddapati, V. N., Sarisa, M., & Reddy, M. S. (2024). An Analysis and Prediction of Health Insurance Costs Using Machine Learning-Based Regressor Techniques. Journal of Data Analysis and Information Processing, 12(4), 581-596.
Rajaram, S. K., Konkimalla, S., Sarisa, M., Gollangi, H. K., Madhavaram, C. R., & Reddy, M. S. (2023). AI/ML-Powered Phishing Detection: Building an Impenetrable Email Security System. ISAR Journal of Science and Technology, 1(2), 10-19.
Mane, S., & Immidi, K. (2024). Strategic Insights and Best Practices for Upgrading to SAP S/4HANA: A Comprehensive Framework for Business Transformation. International Journal of Creative Research In Computer Technology and Design, 6(6).
Mane, S. (2024). Optimizing Returns and Refunds Management in SAP: Leveraging Data-Driven Insights and Advanced Automation. International Journal of Machine Learning and Artificial Intelligence, 5(5), 1-13.
Gummadi, V., Udayaraju, P., Kolasani, D., Kotaru, C., Sayana, R., & Neethika, A. (2024, December). NLP Based TAG Algorithm for Enhancing Customer Data Platform and Personalized Marketing. In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS) (pp. 60-67). IEEE.