The Future of AI in Education: A Conceptual Exploration
DOI:
https://doi.org/10.25215/1301.289Keywords:
Artificial Intelligence, Education Technology, Personalized Learning, Intelligent Tutoring Systems, Adaptive Learning, Ethical Considerations, Data Privacy, Global Accessibility, Digital Divide, Educational EquityAbstract
Artificial Intelligence (AI) is transforming education by providing significant opportunity to improve teaching, learning, and administrative functions. This conceptual paper addresses the future of AI in education, emphasising on its potential to customise learning, optimize administrative duties, and increase worldwide accessibility. Through the integration of AI technologies, including intelligent tutoring systems, adaptive learning platforms, and immersive virtual environments, education is transitioning from a uniform model to a more customised and inclusive framework. The paper explores the theoretical foundations of AI’s function in education, citing constructivist ideas, the Zone of Proximal Development (ZPD), and Cognitive Load Theory. These frameworks illustrate the alignment of AI with contemporary pedagogical ideas, promoting environments where learners can generate knowledge, obtain scaffolded help, and interact with content in accordance with their cognitive abilities. A significant application of AI is personalised learning, wherein algorithms tailor content according to a learner’s skills, weaknesses, and preferences. This method enhances engagement while also addressing specific learning deficiencies. Moreover, AI-driven instruments streamline administrative responsibilities, allowing educators to concentrate more on teaching and mentorship. The document highlights AI’s capacity to mitigate global educational disparities, especially in disadvantaged areas, using cost-effective, scalable solutions like AI-driven MOOCs (Massive Open Online Courses). However, the incorporation of AI in education is not without hurdles. Ethical issues, including data privacy, algorithmic prejudice, and excessive dependence on technology, present considerable threats. The paper underlines the significance of robust data security measures and the creation of unbiased, transparent algorithms to mitigate these vulnerabilities. Additionally, practical obstacles, such as the digital gap, insufficient infrastructure, and opposition from educators, must be resolved to guarantee equitable access to AI-driven solutions. This study promotes a multidisciplinary strategy for AI in education, highlighting the necessity of collaboration among educators, technologists, and politicians. Essential proposals encompass the establishment of ethical frameworks, the implementation of professional development initiatives for educators, and strategic investments in infrastructure to guarantee accessibility and diversity. In summary, AI have the capacity to transform education by establishing dynamic, engaging, and egalitarian learning environments. However, its successful integration demands careful planning, ethical concerns, and a dedication to serving the different needs of learners. By utilising AI ethically, we may create a future where education is efficient, adaptive, transformative, and inclusive for everyone.Metrics
No metrics found.
Published
2025-03-31
How to Cite
Jaydev Singh, & Dr. Jitendra Singh Goyal. (2025). The Future of AI in Education: A Conceptual Exploration. International Journal of Indian Psychȯlogy, 13(1). https://doi.org/10.25215/1301.289
Issue
Section
Articles