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@article{194515,
        author = {Lavanya M and Monika G},
        title = {Artificial Intelligence in Teaching and Learning: A Pathway to Workforce Transformation and Future Skills Development},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {3749-3757},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194515},
        abstract = {Artificial Intelligence (AI) has come to be recognized as a revolutionary force in teaching and learning, as it enables intelligent, adaptive, and personalized learning environments. This paper examines the existing AI tools and systems used in the teaching and learning process, such as intelligent tutoring systems, adaptive learning systems, learning management systems with AI analytics, automated assessment and feedback systems, speech-to-text and text-to-speech systems, and generative AI-based teaching assistants. These systems have greatly influenced the teaching and learning process by providing personalized learning, improving student engagement, catering to different learners, automating routine academic tasks, and offering data-driven insights for teachers. However, despite their influence, the existing AI systems have limitations in terms of contextual reasoning, pedagogical adaptability, ethical transparency, and alignment with the changing workforce and societal skill requirements. There is, therefore, a growing need for new AI tools and educational AI systems that are human-centered, ethically governed, and interoperable with existing learning infrastructure and able to support higher-order thinking, creativity, collaboration, and lifelong learning. The integration of more advanced AI systems provides great opportunities, such as improved learning outcomes, enhanced teaching efficiency, continuous skill enhancement, and better alignment between education and the labor market. Additionally, AI-enhanced education provides opportunities such as scalable personalized learning, inclusive education, and improved industry-academia collaboration. However, the implementation of these opportunities is threatened by challenges such as data privacy, bias in algorithms, digital divide, readiness of the teaching force, and regulatory frameworks. These challenges must be addressed to fully tap the potential of AI in transforming education.},
        keywords = {artificial intelligence, educational AI systems, future skills development, intelligent tutoring systems, workforce transformation},
        month = {March},
        }