AI Without strings:The new era of Autonomy in Tech innovation.

  • Unique Paper ID: 190448
  • Volume: 12
  • Issue: 8
  • PageNo: 763-769
  • Abstract:
  • The AI and ML movements have progressed to such a point that they not only perform at the highest level but also exceed it in some aspects of university life. Today, AI-based EdTech's most important characteristic is that they are not viewed by educators as merely one tool in their prevention measures but as a completely mediated partnership with data-driven insights, real-time adapting, and contextually sensitive guidance based on students' interactions. A noteworthy shift in the research paper is the transition of educational institutions from rule-based systems to AI systems with full development, such that teaching, changing actions, and working without human intervention are all their capabilities. The transition brings along major concerns regarding data privacy, ethical accountability, and educational outcomes being fair, which, alongside the benefits of personalized learning, are amongst the major issues the change brings about. Your argument will be fortified if you take into account the assertion of the paper, which argues that ML and AI should not only be regarded as teaching assistants but also as active participants in the learning ecosystem that will determine the course of future education.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{190448,
        author = {K.Radhika},
        title = {AI Without strings:The new era of Autonomy in Tech innovation.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {8},
        pages = {763-769},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190448},
        abstract = {The AI and ML movements have progressed to such a point that they not only perform at the highest level but also exceed it in some aspects of university life. Today, AI-based EdTech's most important characteristic is that they are not viewed by educators as merely one tool in their prevention measures but as a completely mediated partnership with data-driven insights, real-time adapting, and contextually sensitive guidance based on students' interactions. A noteworthy shift in the research paper is the transition of educational institutions from rule-based systems to AI systems with full development, such that teaching, changing actions, and working without human intervention are all their capabilities. The transition brings along major concerns regarding data privacy, ethical accountability, and educational outcomes being fair, which, alongside the benefits of personalized learning, are amongst the major issues the change brings about. Your argument will be fortified if you take into account the assertion of the paper, which argues that ML and AI should not only be regarded as teaching assistants but also as active participants in the learning ecosystem that will determine the course of future education.},
        keywords = {Artificial Intelligence, Autonomous Learning Systems, Data Driven, Decision Making, EdTech, Machine Learning, Smart Education Platforms},
        month = {December},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 8
  • PageNo: 763-769

AI Without strings:The new era of Autonomy in Tech innovation.

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