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@article{183139,
        author = {Pavithra.N and Manju Sadasivan},
        title = {Human–AI Collaboration in Education: Enhancing Teaching and Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {337-348},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183139},
        abstract = {Artificial Intelligence (AI), has changed education as we know it by providing opportunities for more personalized, adaptive, and accessible learning experiences. This article provides a methodical examination of how human educators integrate with AI technologies while emphasizing collaborative approaches that explicitly augment rather than replace educators.  It also examines immersive learning technologies, including AR/VR, as applied towards engagement, exploration and understanding. Through a comprehensive literature review and case studies, this article explores the advantages, disadvantages and ethical implications of classroom AI including issues of data privacy, algorithmic bias, and emotional intelligence capabilities. The research recommends a dual approach of understanding when AI can augment human educators with a human-in-the-loop design to support personalization and lower administrative burdens and be of help in achieving better student outcomes. The article concludes with commentary on recommendations for responsible, ethical AI implementation assisted by templates for ethical frameworks, continued teacher participation, and polity development that advances inclusion.},
        keywords = {Artificial Intelligence in Education, Human–AI Collaboration, Intelligent Tutoring Systems, Adaptive Learning, Virtual Learning Assistants, Educational Technology, AI Ethics, Augmented Reality (AR), Virtual Reality (VR), Personalized Learning, Data Privacy in Education, Gamification.},
        month = {July},
        }